{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import h5py\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import scipy.signal as ss\n",
    "\n",
    "def voltage_criterion(data=None, v_thresh=-40, time_thresh=260):\n",
    "    threshold_crossings = np.diff(data > v_thresh, prepend=False)\n",
    "    upward_crossings = np.argwhere(threshold_crossings)[::2,0]\n",
    "    downward_crossings = np.argwhere(threshold_crossings)[1::2,0]\n",
    "    # If length of threshold_crossings is not even\n",
    "    if np.mod(np.argwhere(threshold_crossings).reshape(-1,).shape[0],2)!=0:\n",
    "        legit_up_crossings = upward_crossings[:-1][np.diff(np.argwhere(threshold_crossings).reshape(-1,))[::2]>time_thresh]\n",
    "        legit_down_crossings = downward_crossings[np.diff(np.argwhere(threshold_crossings).reshape(-1,))[::2]>time_thresh]\n",
    "    else:\n",
    "        legit_up_crossings = upward_crossings[np.diff(np.argwhere(threshold_crossings).reshape(-1,))[::2]>time_thresh]\n",
    "        legit_down_crossings = downward_crossings[np.diff(np.argwhere(threshold_crossings).reshape(-1,))[::2]>time_thresh]\n",
    "    return upward_crossings, legit_up_crossings, legit_down_crossings\n",
    "\n",
    "# Input: upward and downward crossings\n",
    "# Output: bounds of NMDA spikes meeting current criterion\n",
    "def current_criterion(legit_uc_iso=[], legit_dc_iso=[], p=1, control_inmda=np.array([1])):\n",
    "    bounds = []\n",
    "    sum_current = []\n",
    "    \n",
    "\n",
    "    for ind1 in np.arange(0,len(legit_uc_iso)):\n",
    "        e1 = control_inmda[legit_uc_iso[ind1], p] #current @ up_crossing[ind1]\n",
    "        #all the indices where current crosses 130% of e1\n",
    "        x30 = np.argwhere(np.diff(control_inmda[legit_uc_iso[ind1]:legit_dc_iso[ind1], p] < 1.3*e1, prepend=False))\n",
    "        #all the indices where current crosses 115% of e1\n",
    "        x15 = np.argwhere(np.diff(control_inmda[legit_uc_iso[ind1]:legit_dc_iso[ind1], p] < 1.15*e1, prepend=False))\n",
    "        \n",
    "        if len(x30)>0:\n",
    "        \n",
    "            x15_copy = x15\n",
    "            x30_copy = x30\n",
    "            \n",
    "            try:\n",
    "                i = x30[0][0]\n",
    "            except:\n",
    "                import pdb; pdb.set_trace()\n",
    "                \n",
    "            n = 0\n",
    "            \n",
    "            \n",
    "            while n==0:\n",
    "                if len(np.sort(x15[x15>i]))!=0:\n",
    "                    b1 = i\n",
    "                    b2 = np.sort(x15[x15>i])[0]\n",
    "                    bounds.append([legit_uc_iso[ind1]+b1,legit_uc_iso[ind1]+b2])\n",
    "                    sum_current.append(np.sum(control_inmda[legit_uc_iso[ind1]+b1:legit_uc_iso[ind1]+b2,p])/10)\n",
    "                else:\n",
    "                    b1 = i\n",
    "                    b2 = (legit_dc_iso[ind1]-legit_uc_iso[ind1])\n",
    "                    bounds.append([legit_uc_iso[ind1]+b1,legit_uc_iso[ind1]+b2])\n",
    "                    sum_current.append(np.sum(control_inmda[legit_uc_iso[ind1]+b1:legit_uc_iso[ind1]+b2,p])/10)\n",
    "                    n=1\n",
    "                \n",
    "                x30_copy = x30_copy[x30_copy>legit_uc_iso[ind1]+b2]\n",
    "                #import pdb; pdb.set_trace()\n",
    "                \n",
    "                if len(x30_copy)!=0:\n",
    "                    i = x30_copy[x30_copy>b2][0]\n",
    "                else:\n",
    "                    n=1\n",
    "    return bounds, sum_current\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_folder = 'output_control'\n",
    "\n",
    "conns = pd.read_csv('./{}/Connections.csv'.format(output_folder))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "conns.loc[conns.Type=='dend','Sec ID'] = conns.loc[conns.Type=='dend','Name'].apply(lambda x: int(x.split('dend[')[1].split(']')[0]))\n",
    "conns.loc[conns.Type=='apic','Sec ID'] = conns.loc[conns.Type=='apic','Name'].apply(lambda x: int(x.split('apic[')[1].split(']')[0]))\n",
    "conns.loc[conns.Type=='soma','Sec ID'] = conns.loc[conns.Type=='soma','Name'].apply(lambda x: int(x.split('soma[')[1].split(']')[0]))\n",
    "conns.loc[conns.Type=='axon','Sec ID'] = conns.loc[conns.Type=='axon','Name'].apply(lambda x: int(x.split('axon[')[1].split(']')[0]))\n",
    "\n",
    "conns['X'] = conns['Name'].apply(lambda x: float(x.split('(')[1].split(')')[0]))\n",
    "\n",
    "conns.rename(columns={'Distance':'conns_Distance'},inplace=True)\n",
    "\n",
    "conns['Sec ID'] = conns['Sec ID'].astype(int)\n",
    "conns['X'] = conns['X'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Node ID</th>\n",
       "      <th>conns_Distance</th>\n",
       "      <th>Conductance</th>\n",
       "      <th>Type</th>\n",
       "      <th>Name</th>\n",
       "      <th>Source Population</th>\n",
       "      <th>Release Probability</th>\n",
       "      <th>Sec ID</th>\n",
       "      <th>X</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>61.505696</td>\n",
       "      <td>0.500607</td>\n",
       "      <td>dend</td>\n",
       "      <td>L5PCtemplate[0].dend[60](0.264706)</td>\n",
       "      <td>exc_stim</td>\n",
       "      <td>0.6</td>\n",
       "      <td>60</td>\n",
       "      <td>0.264706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>112.522057</td>\n",
       "      <td>0.325079</td>\n",
       "      <td>dend</td>\n",
       "      <td>L5PCtemplate[0].dend[28](0.128571)</td>\n",
       "      <td>exc_stim</td>\n",
       "      <td>0.6</td>\n",
       "      <td>28</td>\n",
       "      <td>0.128571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>73.494480</td>\n",
       "      <td>0.554728</td>\n",
       "      <td>dend</td>\n",
       "      <td>L5PCtemplate[0].dend[29](0.7)</td>\n",
       "      <td>exc_stim</td>\n",
       "      <td>0.6</td>\n",
       "      <td>29</td>\n",
       "      <td>0.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>101.530468</td>\n",
       "      <td>1.005930</td>\n",
       "      <td>dend</td>\n",
       "      <td>L5PCtemplate[0].dend[33](0.264706)</td>\n",
       "      <td>exc_stim</td>\n",
       "      <td>0.6</td>\n",
       "      <td>33</td>\n",
       "      <td>0.264706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>65.675576</td>\n",
       "      <td>0.304560</td>\n",
       "      <td>dend</td>\n",
       "      <td>L5PCtemplate[0].dend[48](0.409091)</td>\n",
       "      <td>exc_stim</td>\n",
       "      <td>0.6</td>\n",
       "      <td>48</td>\n",
       "      <td>0.409091</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Node ID  conns_Distance  Conductance  Type  \\\n",
       "0        0       61.505696     0.500607  dend   \n",
       "1        0      112.522057     0.325079  dend   \n",
       "2        0       73.494480     0.554728  dend   \n",
       "3        0      101.530468     1.005930  dend   \n",
       "4        0       65.675576     0.304560  dend   \n",
       "\n",
       "                                 Name Source Population  Release Probability  \\\n",
       "0  L5PCtemplate[0].dend[60](0.264706)          exc_stim                  0.6   \n",
       "1  L5PCtemplate[0].dend[28](0.128571)          exc_stim                  0.6   \n",
       "2       L5PCtemplate[0].dend[29](0.7)          exc_stim                  0.6   \n",
       "3  L5PCtemplate[0].dend[33](0.264706)          exc_stim                  0.6   \n",
       "4  L5PCtemplate[0].dend[48](0.409091)          exc_stim                  0.6   \n",
       "\n",
       "   Sec ID         X  \n",
       "0      60  0.264706  \n",
       "1      28  0.128571  \n",
       "2      29  0.700000  \n",
       "3      33  0.264706  \n",
       "4      48  0.409091  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conns.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "segs = pd.read_csv('/Volumes/TOSHIBA EXT/L5NeuronSimulation_new/L5NeuronSimulation/MorphAnalysis/Segments.csv')\n",
    "segs_degrees = pd.read_csv('SegmentsDegrees.csv').groupby(['Type','Sec ID'])['Degrees'].max().reset_index()\n",
    "segs['segmentID'] = segs.index\n",
    "segs = segs.set_index(['Type','Sec ID']).join(segs_degrees.set_index(['Type','Sec ID'])).reset_index()\n",
    "\n",
    "segs['Sec ID'] = segs['Sec ID'].astype(int)\n",
    "segs['X'] = segs['X'].astype(float)\n",
    "segs['Elec_distanceQ'] = 'None'\n",
    "\n",
    "segs.loc[segs.Type=='dend','Elec_distanceQ'] = pd.qcut(segs.loc[segs.Type=='dend','Elec_distance'], 10, labels=False)\n",
    "segs.loc[segs.Type=='apic','Elec_distanceQ'] = pd.qcut(segs.loc[segs.Type=='apic','Elec_distance'], 10, labels=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "exc_syns_per_seg = conns[conns['Source Population']=='exc_stim'].groupby(['Type','Sec ID','X'])['Conductance'].count().reset_index().rename(columns={'Conductance':'num_syns'})\n",
    "\n",
    "inh_conns = conns[(conns['Source Population']=='dist_inh_stim')|\n",
    "                  (conns['Source Population']=='prox_inh_stim')].sort_values(by=['Type','Sec ID','X']).reset_index(drop=True)\n",
    "inh_syns_per_seg = inh_conns.groupby(['Type','Sec ID','X'])['Conductance'].count().reset_index().rename(columns={'Conductance':'num_syns'})\n",
    "\n",
    "segs['segmentID'] = segs.groupby(['Type','Sec ID']).cumcount()+1\n",
    "\n",
    "exc_syns_per_seg['segmentID'] = exc_syns_per_seg.groupby(['Type','Sec ID']).cumcount()+1\n",
    "inh_syns_per_seg['segmentID'] = inh_syns_per_seg.groupby(['Type','Sec ID']).cumcount()+1\n",
    "\n",
    "exc_syns = segs.set_index(['Type','Sec ID','segmentID']).join(exc_syns_per_seg[['Type','Sec ID','segmentID','num_syns']].set_index(['Type','Sec ID','segmentID'])).reset_index()\n",
    "inh_syns = segs.set_index(['Type','Sec ID','segmentID']).join(inh_syns_per_seg[['Type','Sec ID','segmentID','num_syns']].set_index(['Type','Sec ID','segmentID'])).reset_index()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.1647901629711943"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exc_syns[exc_syns.Type=='apic']['num_syns'].sum() / exc_syns[exc_syns.Type=='apic']['Section_L'].unique().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.967666458778837"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exc_syns[exc_syns.Type=='dend']['num_syns'].sum() / exc_syns[exc_syns.Type=='dend']['Section_L'].unique().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "v = h5py.File('./{}/v_report.h5'.format(output_folder),'r')\n",
    "hva = h5py.File('./{}/Ca_HVA.ica_report.h5'.format(output_folder),'r')\n",
    "lva = h5py.File('./{}/Ca_LVAst.ica_report.h5'.format(output_folder),'r')\n",
    "ih = h5py.File('./{}/Ih.ihcn_report.h5'.format(output_folder),'r')\n",
    "\n",
    "nmda = h5py.File('./{}/inmda_report.h5'.format(output_folder),'r')\n",
    "\n",
    "na = h5py.File('./{}/NaTa_t.gNaTa_t_report.h5'.format(output_folder),'r')\n",
    "spks = h5py.File('./{}/spikes.h5'.format(output_folder),'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "spktimes = spks['spikes']['biophysical']['timestamps'][:]\n",
    "spkinds = np.sort((spktimes*10).astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: invalid value encountered in greater\n",
      "  \"\"\"\n"
     ]
    },
    {
     "name": "stdout",
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    }
   ],
   "source": [
    "na_df = pd.DataFrame(columns=['segmentID','na_lower_bound'])\n",
    "\n",
    "for p in segs[(segs.Type=='dend')|(segs.Type=='apic')].index:\n",
    "    print(p)\n",
    "    threshold_crossings = np.diff(na['report']['biophysical']['data'][:,p] > 0.003, prepend=False)\n",
    "    upward_crossings = np.argwhere(threshold_crossings)[::2,0]\n",
    "    downward_crossings = np.argwhere(threshold_crossings)[1::2,0]\n",
    "    # Only count if not within 2 ms after a somatic spike\n",
    "    na_spks = [i for i in upward_crossings if ~np.any((i-spkinds>=-5) & (i-spkinds<50))]\n",
    "    \n",
    "    if len(na_spks)>0:\n",
    "        na_df = na_df.append(pd.DataFrame({'segmentID':np.tile(p,len(na_spks)),\n",
    "                                               'na_lower_bound':na_spks}))\n",
    "    else:\n",
    "        na_df = na_df.append(pd.DataFrame({'segmentID':p,\n",
    "                                               'na_lower_bound':np.array([np.nan])}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_df.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_df.to_csv('na_df.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reshape_pad(v, fillval=np.nan):\n",
    "    lens = np.array([len(item) for item in v])\n",
    "    mask = lens[:,None] > np.arange(lens.max())\n",
    "    out = np.full(mask.shape,fillval)\n",
    "    out[mask] = np.concatenate(v)\n",
    "    return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-11-0bd729dc7b8e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0minds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mna_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mna_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msegmentID\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'na_lower_bound'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0mL\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mna\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'report'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'biophysical'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'data'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mX\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreshape_pad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mh5py/_objects.pyx\u001b[0m in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mh5py/_objects.pyx\u001b[0m in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/h5py/_hl/dataset.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, args)\u001b[0m\n\u001b[1;32m    571\u001b[0m         \u001b[0mmspace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mh5s\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate_simple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    572\u001b[0m         \u001b[0mfspace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mselection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 573\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmspace\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfspace\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdxpl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dxpl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    574\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    575\u001b[0m         \u001b[0;31m# Patch up the output for NumPy\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# get the value of the conductance at the peak\n",
    "df = pd.DataFrame(columns=['segmentID','na_lower_bound','peak_value'])\n",
    "\n",
    "for s in na_df[~pd.isnull(na_df.na_lower_bound)].segmentID.unique():\n",
    "\n",
    "    inds = na_df[na_df.segmentID==s]['na_lower_bound'].astype(int).values\n",
    "    \n",
    "    L = np.split(na['report']['biophysical']['data'][:,s], inds)\n",
    "    \n",
    "    X = reshape_pad(L)\n",
    "    \n",
    "    peak_vals = np.max(X[:,0:10], axis=1)\n",
    "    \n",
    "    df = pd.concat((df,pd.DataFrame({'segmentID': s*np.ones((inds.shape[0],)).astype(int),\n",
    "                                     'na_lower_bound': inds, \n",
    "                                     'peak_value': peak_vals[1:]})))\n",
    "    \n",
    "    print(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.groupby('segmentID')['peak_value'].mean().hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_gb = df.groupby('segmentID')['na_lower_bound'].count().sort_values().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "outliers = df_gb[df_gb.na_lower_bound>1000]['segmentID'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_noout = df[(df.segmentID.isin(outliers))&(df.peak_value>0.006)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_df_new = pd.concat((df_noout[['segmentID','na_lower_bound','peak_value']],\n",
    "                       na_df.loc[~na_df.segmentID.isin(outliers),['segmentID','na_lower_bound','peak_value']]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_df_new.to_csv('na_df.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fec7af694a8>"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.loc[df.segmentID==936,'peak_value'].hist(bins=np.arange(0.003,0.01,0.001))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-24-9e9b6591a56c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0mhalf_peak\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpeak_value\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m         \u001b[0mduration\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtrace\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0mhalf_peak\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mspkt\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m         \u001b[0mna_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'duration_low'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mduration\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m         \u001b[0mna_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'duration_high'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mduration\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m         \u001b[0mna_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'peak_value'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpeak_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__setitem__\u001b[0;34m(self, key, value)\u001b[0m\n\u001b[1;32m    668\u001b[0m             \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    669\u001b[0m         \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_setitem_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 670\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setitem_with_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    671\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    672\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_validate_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_setitem_with_indexer\u001b[0;34m(self, indexer, value)\u001b[0m\n\u001b[1;32m   1026\u001b[0m                 \u001b[0;31m# scalar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1027\u001b[0m                 \u001b[0;32mfor\u001b[0m \u001b[0mitem\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1028\u001b[0;31m                     \u001b[0msetter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1029\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1030\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "#for i in na_df.segmentID.unique():\n",
    "#    seg = na_df.loc[i,'segmentID']\n",
    "#    if not pd.isnull(na_df.loc[i,'na_lower_bound']):\n",
    "#        spkt = int(na_df.loc[i,'na_lower_bound'])\n",
    "#        trace = na['report']['biophysical']['data'][spkt-10:spkt+10,seg]\n",
    "#        peak_value = np.max(trace)\n",
    "#        half_peak = peak_value/2\n",
    "#        duration = np.arange(0,20)[trace>half_peak] + spkt - 10\n",
    "#        na_df.loc[i,'duration_low'] = duration[0]\n",
    "#        na_df.loc[i,'duration_high'] = duration[-1]\n",
    "#        na_df.loc[i,'peak_value'] = peak_value\n",
    "#    else:\n",
    "#        na_df.loc[i,'duration_low'] = np.nan\n",
    "#        na_df.loc[i,'duration_high'] = np.nan\n",
    "#        na_df.loc[i,'peak_value'] = np.nan\n",
    "#        \n",
    "#na_df['duration'] = (na_df['duration_high'] - na_df['duration_low'] + 1)/10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "#na_df.to_csv('64Hz_soma_inh_na_df.csv')\n",
    "#na_df = pd.read_csv('na_df.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot example events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>segmentID</th>\n",
       "      <th>na_lower_bound</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>34965</th>\n",
       "      <td>0</td>\n",
       "      <td>101</td>\n",
       "      <td>976.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34966</th>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>1122.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34967</th>\n",
       "      <td>2</td>\n",
       "      <td>101</td>\n",
       "      <td>1846.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34968</th>\n",
       "      <td>3</td>\n",
       "      <td>101</td>\n",
       "      <td>5325.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34969</th>\n",
       "      <td>4</td>\n",
       "      <td>101</td>\n",
       "      <td>5521.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0  segmentID  na_lower_bound\n",
       "34965           0        101           976.0\n",
       "34966           1        101          1122.0\n",
       "34967           2        101          1846.0\n",
       "34968           3        101          5325.0\n",
       "34969           4        101          5521.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "na_df[na_df.segmentID==101].sort_values(by='na_lower_bound').head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "ina = h5py.File('./output/NaTa_t.ina_report.h5','r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.00017846864685736784"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.median(ina['report']['biophysical']['data'][:,101])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fcfb9e4b710>]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(v['report']['biophysical']['data'][8500:8700,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = 8640\n",
    "plt.plot(np.arange(-10,10,.1), (v['report']['biophysical']['data'][t-100:t+100,0]-45)*na['report']['biophysical']['data'][t-100:t+100,0],color='r')\n",
    "plt.vlines(-7,-0.5,-1,color='r')\n",
    "#plt.hlines(0,-10,10,color='r',linestyle='dashed',alpha=0.2)\n",
    "plt.text(-6,-0.75,'0.5 mA/cm2')\n",
    "plt.ylabel('current (mA/cm2)')\n",
    "\n",
    "plt.twinx()\n",
    "plt.plot(np.arange(-10,10,.1), v['report']['biophysical']['data'][t-100:t+100,0],color='k')\n",
    "plt.vlines(5,-10,-20,color='k')\n",
    "plt.hlines(-20,5,10,color='k')\n",
    "#plt.hlines(-60,-10,10,color='k',linestyle='dashed',alpha=0.2)\n",
    "#plt.text(10,-60,'-60 mV')\n",
    "plt.ylabel('voltage (mV)')\n",
    "plt.text(7,-25,'5 ms')\n",
    "plt.text(2,-15,'10 mV')\n",
    "plt.title('somatic spike')\n",
    "\n",
    "plt.savefig('exSomaspike.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = 5325\n",
    "plt.plot(np.arange(-10,10,.1), (v['report']['biophysical']['data'][t-100:t+100,101]-45)*na['report']['biophysical']['data'][t-100:t+100,101],color='r')\n",
    "plt.vlines(-7,-0.1,-0.15,color='r')\n",
    "#plt.hlines(0,-10,10,color='r',linestyle='dashed',alpha=0.2)\n",
    "plt.text(-6,-0.125,'0.05 mA/cm2')\n",
    "plt.ylabel('current (mA/cm2)')\n",
    "\n",
    "plt.twinx()\n",
    "plt.plot(np.arange(-10,10,.1), v['report']['biophysical']['data'][t-100:t+100,101],color='k')\n",
    "plt.plot(np.arange(-10,10,.1), v['report']['biophysical']['data'][t-100:t+100,0],color='k',alpha=0.2)\n",
    "plt.text(5,-70,'soma',alpha=0.2)\n",
    "plt.vlines(5,-10,-20,color='k')\n",
    "plt.hlines(-20,5,10,color='k')\n",
    "#plt.hlines(-60,-10,10,color='k',linestyle='dashed',alpha=0.2)\n",
    "#plt.text(10,-60,'-60 mV')\n",
    "plt.ylabel('voltage (mV)')\n",
    "plt.text(7,-25,'5 ms')\n",
    "plt.text(2,-15,'10 mV')\n",
    "plt.title('dendritic Na+ spike')\n",
    "\n",
    "plt.savefig('exNaspike.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "nmda_df = pd.read_csv('nmda_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "nmda_df['duration'] = nmda_df['nmda_upper_bound'] - nmda_df['nmda_lower_bound']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(76, 643309.0)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = np.random.choice(nmda_df[(~pd.isnull(nmda_df.nmda_lower_bound))&(nmda_df.duration<300)].index)\n",
    "nmda_df.loc[p,'segmentID'], nmda_df.loc[p,'nmda_lower_bound']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = 643309\n",
    "s = 76\n",
    "\n",
    "plt.plot(np.arange(-20,50,.1),nmda['report']['biophysical']['data'][t-200:t+500,s],color='r')\n",
    "plt.vlines(40,-0.005,-0.01,color='r')\n",
    "plt.text(42,-0.007,'5 pA')\n",
    "plt.ylabel('current (nA)')\n",
    "\n",
    "plt.twinx()\n",
    "\n",
    "plt.plot(np.arange(-20,50,.1),v['report']['biophysical']['data'][t-200:t+500,s],color='k')\n",
    "plt.plot(np.arange(-20,50,.1),v['report']['biophysical']['data'][t-200:t+500,0],color='k',alpha=0.2)\n",
    "plt.text(45,-60,'soma',alpha=0.2)\n",
    "plt.hlines(-40,-15,-5)\n",
    "plt.vlines(-15,-30,-40)\n",
    "plt.text(-23,-35,'10 mV')\n",
    "plt.text(-12,-45,'10 ms')\n",
    "plt.ylabel('voltage (mV)')\n",
    "plt.title('NMDA spike')\n",
    "plt.savefig('NMDAspike.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "ca_df = pd.read_csv('ca_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1511, 1056520)"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = np.random.choice(ca_df[(~pd.isnull(ca_df.ca_lower_bound))].index)\n",
    "ca_df.loc[p,'segmentID'], ca_df.loc[p,'ca_lower_bound']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = 1090075\n",
    "s = 1312\n",
    "\n",
    "plt.plot(np.arange(-60,80,.1),hva['report']['biophysical']['data'][t-600:t+800,s],color='r',label='hva')\n",
    "plt.plot(np.arange(-60,80,.1),lva['report']['biophysical']['data'][t-600:t+800,s],color='c',label='lva')\n",
    "plt.legend(loc='center left')\n",
    "plt.vlines(-20,-0.001,-0.0015,color='r')\n",
    "plt.text(-18,-0.00125,'0.5 pA')\n",
    "plt.ylabel('current (nA)')\n",
    "\n",
    "plt.twinx()\n",
    "\n",
    "plt.plot(np.arange(-60,80,.1),v['report']['biophysical']['data'][t-600:t+800,s],color='k')\n",
    "plt.plot(np.arange(-60,80,.1),v['report']['biophysical']['data'][t-600:t+800,0],color='k',alpha=0.2)\n",
    "plt.hlines(-50,70,80)\n",
    "plt.text(65,-55,'10 ms')\n",
    "plt.vlines(70,-40,-50)\n",
    "plt.text(50,-45,'10 mV')\n",
    "plt.ylabel('voltage (mV)')\n",
    "plt.title('Ca2+ spike')\n",
    "plt.text(60,-65,'soma',alpha=0.2)\n",
    "plt.savefig('Caspike.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in np.random.choice(na_df[(na_df.na_lower_bound>20) & (na_df.na_lower_bound<1400000)].index,10000):\n",
    "    seg = na_df.loc[i,'segmentID']\n",
    "    if not pd.isnull(na_df.loc[i,'na_lower_bound']):\n",
    "        spkt = int(na_df.loc[i,'na_lower_bound'])\n",
    "        trace = na['report']['biophysical']['data'][spkt-10:spkt+10,seg]\n",
    "        peak_value = np.max(trace)\n",
    "        half_peak = peak_value/2\n",
    "        duration = np.arange(0,20)[trace>half_peak] + spkt - 10\n",
    "        na_df.loc[i,'duration_low'] = duration[0]\n",
    "        na_df.loc[i,'duration_high'] = duration[-1]\n",
    "        na_df.loc[i,'peak_value'] = peak_value\n",
    "    else:\n",
    "        na_df.loc[i,'duration_low'] = np.nan\n",
    "        na_df.loc[i,'duration_high'] = np.nan\n",
    "        na_df.loc[i,'peak_value'] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_df['duration'] = (na_df['duration_high'] - na_df['duration_low'] + 1)/10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_df = pd.read_csv('na_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "segs_na_df = segs.set_index('segmentID').join(na_df.set_index('segmentID')).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_sta(segs_na_df, spktimes):\n",
    "    na_dend = np.zeros((10,39,))\n",
    "    na_apic = np.zeros((10,39,))\n",
    "    \n",
    "    edges_dend=np.quantile(segs_na_df[(~pd.isnull(segs_na_df.na_lower_bound))&\n",
    "                                       (segs_na_df.Type=='dend')]['Elec_distance'].unique(),np.arange(0,1.1,0.1))\n",
    "    \n",
    "    edges_apic=np.quantile(segs_na_df[(~pd.isnull(segs_na_df.na_lower_bound))&\n",
    "                                       (segs_na_df.Type=='apic')]['Elec_distance'].unique(),np.arange(0,1.1,0.1))\n",
    "    \n",
    "    actual_spktimes = []\n",
    "    c = 0\n",
    "    for i in np.sort(spktimes):\n",
    "        # excludes bursts\n",
    "        if i-c > 10:\n",
    "            for e in np.arange(0,10):\n",
    "                na_inds = segs_na_df[(~pd.isnull(segs_na_df.na_lower_bound))&\n",
    "                                     (segs_na_df.Type=='dend')&\n",
    "                                     (segs_na_df.Elec_distance>edges_dend[e])&\n",
    "                                     (segs_na_df.Elec_distance<=edges_dend[e+1])]['na_lower_bound'].values.astype(int)\n",
    "    \n",
    "                x2, _ = np.histogram(na_inds/10,bins=np.arange(np.floor(i)-20,np.floor(i)+20,1))\n",
    "                na_dend[e] += x2\n",
    "                \n",
    "                na_inds = segs_na_df[(~pd.isnull(segs_na_df.na_lower_bound))&\n",
    "                                     (segs_na_df.Type=='apic')&\n",
    "                                     (segs_na_df.Elec_distance>edges_apic[e])&\n",
    "                                     (segs_na_df.Elec_distance<=edges_apic[e+1])]['na_lower_bound'].values.astype(int)\n",
    "    \n",
    "                x2, _ = np.histogram(na_inds/10,bins=np.arange(np.floor(i)-20,np.floor(i)+20,1))\n",
    "                na_apic[e] += x2\n",
    "            \n",
    "            actual_spktimes.append(i)\n",
    "        c = i\n",
    "    return na_dend, na_apic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-178-c78d45604c56>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mna_dend\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mna_apic\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_sta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs_na_df\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mspktimes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mrand_spktimes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchoice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m150000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mspktimes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mna_dend_rand\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mna_apic_rand\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_sta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs_na_df\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrand_spktimes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-177-04d6632f1d8e>\u001b[0m in \u001b[0;36mget_sta\u001b[0;34m(segs_na_df, spktimes)\u001b[0m\n\u001b[1;32m     17\u001b[0m                 na_inds = segs_na_df[(~pd.isnull(segs_na_df.na_lower_bound))&\n\u001b[1;32m     18\u001b[0m                                      \u001b[0;34m(\u001b[0m\u001b[0msegs_na_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mType\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'dend'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m&\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m                                      \u001b[0;34m(\u001b[0m\u001b[0msegs_na_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mElec_distance\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0medges_dend\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m&\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     20\u001b[0m                                      (segs_na_df.Elec_distance<=edges_dend[e+1])]['na_lower_bound'].values.astype(int)\n\u001b[1;32m     21\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/ops/common.py\u001b[0m in \u001b[0;36mnew_method\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m     62\u001b[0m         \u001b[0mother\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mitem_from_zerodim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     65\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnew_method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/ops/__init__.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    524\u001b[0m         \u001b[0mrvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextract_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextract_numpy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    525\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 526\u001b[0;31m         \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcomparison_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    527\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    528\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_construct_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mres_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/ops/array_ops.py\u001b[0m in \u001b[0;36mcomparison_op\u001b[0;34m(left, right, op)\u001b[0m\n\u001b[1;32m    245\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mis_object_dtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 247\u001b[0;31m         \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcomp_method_OBJECT_ARRAY\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    248\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    249\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/ops/array_ops.py\u001b[0m in \u001b[0;36mcomp_method_OBJECT_ARRAY\u001b[0;34m(op, x, y)\u001b[0m\n\u001b[1;32m     55\u001b[0m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvec_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     56\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 57\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscalar_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     58\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     59\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "na_dend, na_apic = get_sta(segs_na_df, spktimes)\n",
    "rand_spktimes = np.sort(np.random.choice(np.arange(0,150000), spktimes.shape[0]))\n",
    "na_dend_rand, na_apic_rand = get_sta(segs_na_df, rand_spktimes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.subplot(2,1,1)\n",
    "plt.title('Na spikes - apical')\n",
    "plt.imshow((na_apic-na_apic_rand)/len(spktimes),cmap='jet',vmin=-0.5)\n",
    "plt.colorbar(label='additional events per AP')\n",
    "plt.xticks(ticks=np.arange(0,40,5)-0.5,labels=['{}'.format(i) for i in np.arange(-20,20,5)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.xlim(5,35)\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "plt.title('Na spikes - basal')\n",
    "plt.imshow((na_dend-na_dend_rand)/len(spktimes),cmap='jet',vmin=-0.2, vmax=0.2)\n",
    "plt.colorbar(label='additional events per AP')\n",
    "plt.xticks(ticks=np.arange(0,40,5)-0.5,labels=['{}'.format(i) for i in np.arange(-20,20,5)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.xlabel('time(ms)')\n",
    "plt.xlim(5,35)\n",
    "plt.savefig('naspikes.svg')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "segs = pd.read_csv('/Volumes/TOSHIBA EXT/L5NeuronSimulation_new/L5NeuronSimulation/MorphAnalysis/Segments.csv')\n",
    "segs_degrees = pd.read_csv('SegmentsDegrees.csv').groupby(['Type','Sec ID'])['Degrees'].max().reset_index()\n",
    "segs['segmentID'] = segs.index\n",
    "segs = segs.set_index(['Type','Sec ID']).join(segs_degrees.set_index(['Type','Sec ID'])).reset_index()\n",
    "\n",
    "segs['Sec ID'] = segs['Sec ID'].astype(int)\n",
    "segs['X'] = segs['X'].astype(float)\n",
    "segs['Elec_distanceQ'] = 'None'\n",
    "\n",
    "segs.loc[segs.Type=='dend','Elec_distanceQ'] = pd.qcut(segs.loc[segs.Type=='dend','Elec_distance'], 10, labels=False)\n",
    "segs.loc[segs.Type=='apic','Elec_distanceQ'] = pd.qcut(segs.loc[segs.Type=='apic','Elec_distance'], 10, labels=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f9eb3f28ac8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(segs['Coord X'], segs['Coord Y'])\n",
    "plt.scatter(segs.loc[(segs['Coord Y']>500) & (segs['Coord Y']<700),'Coord X'],\n",
    "            segs.loc[(segs['Coord Y']>500) & (segs['Coord Y']<700),'Coord Y'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find Ca2+ spikes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "2003\n",
      "2004\n",
      "2005\n",
      "2006\n",
      "2007\n",
      "2008\n",
      "2009\n",
      "2010\n",
      "2011\n",
      "2012\n",
      "2013\n",
      "2014\n",
      "2015\n",
      "2016\n",
      "2017\n",
      "2018\n",
      "2019\n",
      "2020\n",
      "2021\n",
      "2022\n",
      "2023\n",
      "2024\n",
      "2025\n",
      "2026\n",
      "2027\n",
      "2028\n",
      "2029\n",
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      "2091\n",
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      "2094\n",
      "2095\n",
      "2096\n",
      "2097\n",
      "2098\n",
      "2099\n",
      "2100\n",
      "2101\n",
      "2102\n",
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      "2176\n",
      "2177\n"
     ]
    }
   ],
   "source": [
    "ca_df = pd.DataFrame(columns=['segmentID','ca_lower_bound'])\n",
    "#&(segs['Coord Y']>630) & (segs['Coord Y']<830)\n",
    "segIDs = segs[(segs.Type=='apic')&(segs['Coord Y']>400)&(segs['Coord Y']<1000)]['segmentID']\n",
    "for p in segIDs:\n",
    "    print(p)\n",
    "    trace = hva['report']['biophysical']['data'][:,p]+\\\n",
    "                lva['report']['biophysical']['data'][:,p]+\\\n",
    "                ih['report']['biophysical']['data'][:,p]\n",
    "    m = np.mean(trace)\n",
    "    s = np.std(trace)\n",
    "\n",
    "    legit_uc = voltage_criterion(data=v['report']['biophysical']['data'][:-10000,p],v_thresh=-40, time_thresh=200)[1]\n",
    "    legit_dc = voltage_criterion(data=v['report']['biophysical']['data'][:-10000,p],v_thresh=-40, time_thresh=200)[-1]\n",
    "    \n",
    "    legit_uc_iso = legit_uc\n",
    "    \n",
    "    legit_dc_iso = legit_dc\n",
    "    \n",
    "    \n",
    "    if (len(legit_uc_iso)!=0) & (np.min(trace)!=0):\n",
    "        bnds, sum_curr = current_criterion(legit_uc_iso=legit_uc_iso, \n",
    "                                           legit_dc_iso=legit_dc_iso, \n",
    "                                           p=p, \n",
    "                                           control_inmda=hva['report']['biophysical']['data'])\n",
    "        ca_df = ca_df.append(pd.DataFrame({'segmentID':np.tile(p,len(bnds)),\n",
    "                                               'ca_lower_bound':np.array(bnds).reshape(-1,2)[:,0],\n",
    "                                               'ca_upper_bound':np.array(bnds).reshape(-1,2)[:,1],\n",
    "                                               'mag':sum_curr}))\n",
    "    \n",
    "    else:\n",
    "        ca_df = ca_df.append(pd.DataFrame({'segmentID':np.tile(p,1),\n",
    "                                               'ca_lower_bound':np.nan,\n",
    "                                               'ca_upper_bound':np.nan,\n",
    "                                               'mag':np.nan}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "ca_df.to_csv('ca_df.csv')\n",
    "#ca_df = pd.read_csv('ca_df.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting morphology as heat maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,10))\n",
    "for i in exc_syns[exc_syns.Type=='apic']['Sec ID'].unique():\n",
    "    plt.plot(exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Coord X'],\n",
    "             exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Coord Y'],\n",
    "             color='k',\n",
    "             linewidth = 2*exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Section_diam'].unique())\n",
    "    \n",
    "for i in exc_syns[exc_syns.Type=='dend']['Sec ID'].unique():\n",
    "    plt.plot(exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Coord X'],\n",
    "         exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Coord Y'],\n",
    "             color='k',\n",
    "             linewidth = 2*exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Section_diam'].unique())\n",
    "    \n",
    "\n",
    "plt.scatter(exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord X'],\n",
    "         exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord Y'],color='k',s=100)\n",
    "plt.savefig('morphology.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_field = 'Elec_distance'\n",
    "\n",
    "ax = plt.figure(figsize=(2,5))\n",
    "import matplotlib\n",
    "from matplotlib.colors import Normalize\n",
    "cmap = matplotlib.cm.get_cmap('jet')\n",
    "norm = matplotlib.colors.Normalize(vmin = np.log10(exc_syns['Elec_distance'].min()), vmax = np.log10(exc_syns['Elec_distance'].max()))\n",
    "\n",
    "for i in exc_syns[exc_syns.Type=='apic']['Sec ID'].unique():\n",
    "    section = exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]\n",
    "    for j in section.index.tolist()[:-1]:\n",
    "        plt.plot(section.loc[j:j+1,'Coord X'],\n",
    "                 section.loc[j:j+1,'Coord Y'],\n",
    "             color=cmap(norm(np.log10(section.loc[j:j+1,color_field].values[0]))),\n",
    "             linewidth = 1*section.loc[j:j+1,'Section_diam'].unique())\n",
    "    \n",
    "for i in exc_syns[exc_syns.Type=='dend']['Sec ID'].unique():\n",
    "    section = exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]\n",
    "    for j in section.index.tolist()[:-1]:\n",
    "        plt.plot(section.loc[j:j+1,'Coord X'],\n",
    "                 section.loc[j:j+1,'Coord Y'],\n",
    "             color=cmap(norm(np.log10(section.loc[j:j+1,color_field].values[0]))),\n",
    "             linewidth = 1*section.loc[j:j+1,'Section_diam'].unique())\n",
    "        \n",
    "plt.scatter(exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord X'],\n",
    "         exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord Y'],color='k',s=100)\n",
    "plt.vlines(110,400,500)\n",
    "plt.text(0,450,'100 um')\n",
    "plt.hlines(400,110,210)\n",
    "plt.text(110,350,'100 um')\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "cbar = plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm, cmap=cmap))\n",
    "#cbar.ax.set_ylabel('log(elec_distance)', rotation=270)\n",
    "\n",
    "#ax2.ax.set_title('log(elec_distance)',rotation=270)\n",
    "plt.box(False)\n",
    "plt.savefig('Elec_distance.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_field = 'Elec_distance_nexus'\n",
    "\n",
    "ax = plt.figure(figsize=(2,5))\n",
    "import matplotlib\n",
    "from matplotlib.colors import Normalize\n",
    "cmap = matplotlib.cm.get_cmap('jet')\n",
    "norm = matplotlib.colors.Normalize(vmin = np.log10(exc_syns['Elec_distance'].min()), vmax = np.log10(exc_syns['Elec_distance'].max()))\n",
    "\n",
    "for i in exc_syns[exc_syns.Type=='apic']['Sec ID'].unique():\n",
    "    section = exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]\n",
    "    for j in section.index.tolist()[:-1]:\n",
    "        plt.plot(section.loc[j:j+1,'Coord X'],\n",
    "                 section.loc[j:j+1,'Coord Y'],\n",
    "             color=cmap(norm(np.log10(section.loc[j:j+1,color_field].values[0]))),\n",
    "             linewidth = 1*section.loc[j:j+1,'Section_diam'].unique())\n",
    "    \n",
    "for i in exc_syns[exc_syns.Type=='dend']['Sec ID'].unique():\n",
    "    section = exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]\n",
    "    for j in section.index.tolist()[:-1]:\n",
    "        plt.plot(section.loc[j:j+1,'Coord X'],\n",
    "                 section.loc[j:j+1,'Coord Y'],\n",
    "             color=cmap(norm(np.log10(section.loc[j:j+1,color_field].values[0]))),\n",
    "             linewidth = 1*section.loc[j:j+1,'Section_diam'].unique())\n",
    "        \n",
    "plt.scatter(exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord X'],\n",
    "         exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord Y'],color='k',s=100)\n",
    "plt.vlines(110,400,500)\n",
    "plt.text(0,450,'100 um')\n",
    "plt.hlines(400,110,210)\n",
    "plt.text(110,350,'100 um')\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "cbar = plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm, cmap=cmap))\n",
    "#cbar.ax.set_ylabel('log(elec_distance)', rotation=270)\n",
    "\n",
    "#ax2.ax.set_title('log(elec_distance)',rotation=270)\n",
    "plt.box(False)\n",
    "plt.savefig('Elec_distance_nexus.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Sec ID</th>\n",
       "      <th>segmentID</th>\n",
       "      <th>BMTK ID</th>\n",
       "      <th>X</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Section_L</th>\n",
       "      <th>Section_diam</th>\n",
       "      <th>Coord X</th>\n",
       "      <th>Coord Y</th>\n",
       "      <th>Coord Z</th>\n",
       "      <th>Elec_distance</th>\n",
       "      <th>Elec_distance_nexus</th>\n",
       "      <th>HVA_gbar</th>\n",
       "      <th>Degrees</th>\n",
       "      <th>Elec_distanceQ</th>\n",
       "      <th>num_syns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>apic</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>14.147771</td>\n",
       "      <td>46.13561</td>\n",
       "      <td>4.105518</td>\n",
       "      <td>-2.303151</td>\n",
       "      <td>11.476587</td>\n",
       "      <td>0.071639</td>\n",
       "      <td>0.999451</td>\n",
       "      <td>0.060147</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>apic</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>85</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>19.273949</td>\n",
       "      <td>46.13561</td>\n",
       "      <td>4.105518</td>\n",
       "      <td>-3.554566</td>\n",
       "      <td>16.424751</td>\n",
       "      <td>0.046743</td>\n",
       "      <td>0.997676</td>\n",
       "      <td>0.060366</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>apic</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>85</td>\n",
       "      <td>0.277778</td>\n",
       "      <td>24.400128</td>\n",
       "      <td>46.13561</td>\n",
       "      <td>4.105518</td>\n",
       "      <td>-4.910495</td>\n",
       "      <td>21.177870</td>\n",
       "      <td>-1.216934</td>\n",
       "      <td>0.994614</td>\n",
       "      <td>0.060742</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>apic</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>85</td>\n",
       "      <td>0.388889</td>\n",
       "      <td>29.526307</td>\n",
       "      <td>46.13561</td>\n",
       "      <td>4.105518</td>\n",
       "      <td>-5.852709</td>\n",
       "      <td>26.024932</td>\n",
       "      <td>-2.438397</td>\n",
       "      <td>0.989382</td>\n",
       "      <td>0.061380</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>apic</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>85</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>34.652486</td>\n",
       "      <td>46.13561</td>\n",
       "      <td>4.105518</td>\n",
       "      <td>-6.340006</td>\n",
       "      <td>30.845376</td>\n",
       "      <td>-2.985270</td>\n",
       "      <td>0.983055</td>\n",
       "      <td>0.062150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Type  Sec ID  segmentID  BMTK ID         X   Distance  Section_L  \\\n",
       "0  apic       0          1       85  0.055556  14.147771   46.13561   \n",
       "1  apic       0          2       85  0.166667  19.273949   46.13561   \n",
       "2  apic       0          3       85  0.277778  24.400128   46.13561   \n",
       "3  apic       0          4       85  0.388889  29.526307   46.13561   \n",
       "4  apic       0          5       85  0.500000  34.652486   46.13561   \n",
       "\n",
       "   Section_diam   Coord X    Coord Y   Coord Z  Elec_distance  \\\n",
       "0      4.105518 -2.303151  11.476587  0.071639       0.999451   \n",
       "1      4.105518 -3.554566  16.424751  0.046743       0.997676   \n",
       "2      4.105518 -4.910495  21.177870 -1.216934       0.994614   \n",
       "3      4.105518 -5.852709  26.024932 -2.438397       0.989382   \n",
       "4      4.105518 -6.340006  30.845376 -2.985270       0.983055   \n",
       "\n",
       "   Elec_distance_nexus  HVA_gbar  Degrees Elec_distanceQ  num_syns  \n",
       "0             0.060147       0.0        1              9      10.0  \n",
       "1             0.060366       0.0        1              9       5.0  \n",
       "2             0.060742       0.0        1              9      17.0  \n",
       "3             0.061380       0.0        1              9       4.0  \n",
       "4             0.062150       0.0        1              9       3.0  "
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exc_syns.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([36, 37, 50, 51, 60])"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exc_syns[(exc_syns['Coord Y']>500) & (exc_syns['Coord Y']<700)]['Sec ID'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc060dcb550>]"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(exc_syns[exc_syns.Type=='apic']['Coord X'],\n",
    "         exc_syns[exc_syns.Type=='apic']['Coord Y'],'.')\n",
    "plt.plot(exc_syns.loc[(exc_syns.Type=='apic')&(exc_syns['Section_diam']>1.0)]['Coord X'],\n",
    "         exc_syns.loc[(exc_syns.Type=='apic')&(exc_syns['Section_diam']>1.0)]['Coord Y'],'r.')\n",
    "plt.plot(exc_syns.loc[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==50)]['Coord X'],\n",
    "         exc_syns.loc[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==50)]['Coord Y'],'m.')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc053760a58>]"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(exc_syns[exc_syns.Type=='apic']['Sec ID'], exc_syns[exc_syns.Type=='apic']['Section_diam'], '.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "exc_syns.loc[(pd.isnull(exc_syns.num_syns))|(exc_syns.num_syns>30),'num_syns'] = 0\n",
    "inh_syns.loc[pd.isnull(inh_syns.num_syns),'num_syns'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "inh_syns_plot = inh_syns.copy()\n",
    "inh_syns_plot.loc[inh_syns.num_syns==0,'num_syns'] = 1e-1\n",
    "\n",
    "color_field = 'num_syns'\n",
    "\n",
    "ax = plt.figure(figsize=(2,5))\n",
    "import matplotlib\n",
    "from matplotlib.colors import Normalize\n",
    "cmap = matplotlib.cm.get_cmap('jet')\n",
    "norm = matplotlib.colors.Normalize(vmin = 0, vmax = 5)\n",
    "\n",
    "for i in inh_syns_plot[inh_syns_plot.Type=='apic']['Sec ID'].unique():\n",
    "    section = inh_syns_plot[(inh_syns_plot.Type=='apic')&(inh_syns_plot['Sec ID']==i)]\n",
    "    for j in section.index.tolist()[:-1]:\n",
    "        plt.plot(section.loc[j:j+1,'Coord X'],\n",
    "                 section.loc[j:j+1,'Coord Y'],\n",
    "             color=cmap(norm(section.loc[j:j+1,color_field].values[0])),\n",
    "             linewidth = 1*section.loc[j:j+1,'Section_diam'].unique())\n",
    "    \n",
    "for i in inh_syns_plot[inh_syns_plot.Type=='dend']['Sec ID'].unique():\n",
    "    section = inh_syns_plot[(inh_syns_plot.Type=='dend')&(inh_syns_plot['Sec ID']==i)]\n",
    "    for j in section.index.tolist()[:-1]:\n",
    "        plt.plot(section.loc[j:j+1,'Coord X'],\n",
    "                 section.loc[j:j+1,'Coord Y'],\n",
    "             color=cmap(norm(section.loc[j:j+1,color_field].values[0])),\n",
    "             linewidth = 1*section.loc[j:j+1,'Section_diam'].unique())\n",
    "        \n",
    "plt.scatter(inh_syns_plot[(inh_syns_plot.Type=='soma')&(inh_syns_plot['Sec ID']==0)].loc[2523,'Coord X'],\n",
    "         inh_syns_plot[(inh_syns_plot.Type=='soma')&(inh_syns_plot['Sec ID']==0)].loc[2523,'Coord Y'],color='k',s=100)\n",
    "plt.vlines(110,400,500)\n",
    "plt.text(0,450,'100 um')\n",
    "plt.hlines(400,110,210)\n",
    "plt.text(110,350,'100 um')\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "cbar = plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm, cmap=cmap))\n",
    "#cbar.ax.set_ylabel('log(elec_distance)', rotation=270)\n",
    "\n",
    "#ax2.ax.set_title('log(elec_distance)',rotation=270)\n",
    "plt.box(False)\n",
    "plt.savefig('inh_syns.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "inh_syns_plot = inh_syns.copy()\n",
    "inh_syns_plot.loc[inh_syns.num_syns==0,'num_syns'] = 1e-1\n",
    "\n",
    "color_field = 'num_syns'\n",
    "\n",
    "ax = plt.figure(figsize=(4,4))\n",
    "import matplotlib\n",
    "from matplotlib.colors import Normalize\n",
    "cmap = matplotlib.cm.get_cmap('jet')\n",
    "norm = matplotlib.colors.Normalize(vmin = 0, vmax = 0.8)\n",
    "\n",
    "for i in inh_syns_plot[inh_syns_plot.Type=='apic']['Sec ID'].unique():\n",
    "    section_L = inh_syns_plot[(inh_syns_plot.Type=='apic')&(inh_syns_plot['Sec ID']==i)]['Section_L'].unique()[0]\n",
    "    plt.plot(inh_syns_plot[(inh_syns_plot.Type=='apic')&(inh_syns_plot['Sec ID']==i)]['Coord X'],\n",
    "             inh_syns_plot[(inh_syns_plot.Type=='apic')&(inh_syns_plot['Sec ID']==i)]['Coord Y'],\n",
    "             color=cmap(norm(inh_syns_plot[(inh_syns_plot.Type=='apic')&(inh_syns_plot['Sec ID']==i)][color_field].sum()/section_L)),\n",
    "             linewidth = 1*inh_syns_plot[(inh_syns_plot.Type=='apic')&(inh_syns_plot['Sec ID']==i)]['Section_diam'].unique())\n",
    "    \n",
    "for i in inh_syns_plot[inh_syns_plot.Type=='dend']['Sec ID'].unique():\n",
    "    section_L = inh_syns_plot[(inh_syns_plot.Type=='dend')&(inh_syns_plot['Sec ID']==i)]['Section_L'].unique()[0]\n",
    "    plt.plot(inh_syns_plot[(inh_syns_plot.Type=='dend')&(inh_syns_plot['Sec ID']==i)]['Coord X'],\n",
    "             inh_syns_plot[(inh_syns_plot.Type=='dend')&(inh_syns_plot['Sec ID']==i)]['Coord Y'],\n",
    "             color=cmap(norm(inh_syns_plot[(inh_syns_plot.Type=='dend')&(inh_syns_plot['Sec ID']==i)][color_field].sum()/section_L)),\n",
    "             linewidth = 1*inh_syns_plot[(inh_syns_plot.Type=='dend')&(inh_syns_plot['Sec ID']==i)]['Section_diam'].unique())\n",
    "    \n",
    "for i in inh_syns_plot[inh_syns_plot.Type=='soma']['Sec ID'].unique():\n",
    "    section_L = inh_syns_plot[(inh_syns_plot.Type=='soma')&(inh_syns_plot['Sec ID']==i)]['Section_L'].unique()[0]\n",
    "    plt.plot(inh_syns_plot[(inh_syns_plot.Type=='soma')&(inh_syns_plot['Sec ID']==i)]['Coord X'],\n",
    "             inh_syns_plot[(inh_syns_plot.Type=='soma')&(inh_syns_plot['Sec ID']==i)]['Coord Y'],\n",
    "             color=cmap(norm(inh_syns_plot[(inh_syns_plot.Type=='soma')&(inh_syns_plot['Sec ID']==i)][color_field].sum()/section_L)),\n",
    "             linewidth = 1*inh_syns_plot[(inh_syns_plot.Type=='soma')&(inh_syns_plot['Sec ID']==i)]['Section_diam'].unique())\n",
    "#    \n",
    "#\n",
    "#plt.scatter(exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord X'],\n",
    "#         exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord Y'],color='k',s=100)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "cbar = plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm, cmap=cmap))\n",
    "#cbar = plt.colorbar()\n",
    "#cbar.ax.set_ylabel('log(num. inh. synapses)', rotation=270)\n",
    "\n",
    "#ax2.ax.set_title('log(elec_distance)',rotation=270)\n",
    "plt.box(False)\n",
    "plt.ylim(-50,50)\n",
    "plt.xlim(-50,50)\n",
    "plt.savefig('inh_syns_zoom.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_field = 'num_syns'\n",
    "minval = np.log10(exc_syns[color_field].min())\n",
    "\n",
    "ax = plt.figure(figsize=(2,5))\n",
    "import matplotlib\n",
    "from matplotlib.colors import Normalize\n",
    "cmap = matplotlib.cm.get_cmap('jet')\n",
    "norm = matplotlib.colors.Normalize(vmin = 0, vmax = 8)\n",
    "\n",
    "for i in exc_syns[exc_syns.Type=='apic']['Sec ID'].unique():\n",
    "    section_L = exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Section_L'].unique()[0]\n",
    "    plt.plot(exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Coord X'],\n",
    "             exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Coord Y'],\n",
    "             color=cmap(norm(exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)][color_field].sum()/section_L)),\n",
    "             linewidth = 1*exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Section_diam'].unique())\n",
    "    \n",
    "for i in exc_syns[exc_syns.Type=='dend']['Sec ID'].unique():\n",
    "    section_L = exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Section_L'].unique()[0]\n",
    "    plt.plot(exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Coord X'],\n",
    "             exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Coord Y'],\n",
    "             color=cmap(norm(exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)][color_field].sum()/section_L)),\n",
    "             linewidth = 1*exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Section_diam'].unique())\n",
    "#    \n",
    "#\n",
    "plt.scatter(exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord X'],\n",
    "         exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord Y'],color='k',s=100)\n",
    "plt.vlines(110,400,500)\n",
    "plt.text(0,450,'100 um')\n",
    "plt.hlines(400,110,210)\n",
    "plt.text(110,350,'100 um')\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "cbar = plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm, cmap=cmap))\n",
    "#cbar.ax.set_ylabel('log(elec_distance)', rotation=270)\n",
    "\n",
    "#ax2.ax.set_title('log(elec_distance)',rotation=270)\n",
    "plt.box(False)\n",
    "plt.savefig('exc_syns.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "segs = pd.read_csv('/Volumes/TOSHIBA EXT/L5NeuronSimulation_new/L5NeuronSimulation/MorphAnalysis/Segments.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "segs['median_v'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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    }
   ],
   "source": [
    "for s in segs.index:\n",
    "    print(s)\n",
    "    segs.loc[s,'median_v'] = np.median(v['report']['biophysical']['data'][1000:10000,s])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BMTK ID</th>\n",
       "      <th>X</th>\n",
       "      <th>Type</th>\n",
       "      <th>Sec ID</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Section_L</th>\n",
       "      <th>Section_diam</th>\n",
       "      <th>Coord X</th>\n",
       "      <th>Coord Y</th>\n",
       "      <th>Coord Z</th>\n",
       "      <th>Elec_distance</th>\n",
       "      <th>HVA_gbar</th>\n",
       "      <th>median_v</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>2.316936</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>-9.249733</td>\n",
       "      <td>-0.577674</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.998363</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>-65.734214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>6.950809</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>-4.624868</td>\n",
       "      <td>-0.288877</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.999389</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>-65.725079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>11.584681</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>-0.000010</td>\n",
       "      <td>0.000021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>-65.714281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>16.218553</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>4.624854</td>\n",
       "      <td>0.288824</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.999401</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>-65.724602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>20.852426</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>9.249712</td>\n",
       "      <td>0.577722</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.998340</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>-65.731326</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   BMTK ID    X  Type  Sec ID   Distance  Section_L  Section_diam   Coord X  \\\n",
       "0        0  0.1  soma       0   2.316936  23.169362     17.526643 -9.249733   \n",
       "1        0  0.3  soma       0   6.950809  23.169362     17.526643 -4.624868   \n",
       "2        0  0.5  soma       0  11.584681  23.169362     17.526643 -0.000010   \n",
       "3        0  0.7  soma       0  16.218553  23.169362     17.526643  4.624854   \n",
       "4        0  0.9  soma       0  20.852426  23.169362     17.526643  9.249712   \n",
       "\n",
       "    Coord Y  Coord Z  Elec_distance  HVA_gbar   median_v  \n",
       "0 -0.577674      0.0       0.998363  0.000992 -65.734214  \n",
       "1 -0.288877      0.0       0.999389  0.000992 -65.725079  \n",
       "2  0.000021      0.0       1.000000  0.000992 -65.714281  \n",
       "3  0.288824      0.0       0.999401  0.000992 -65.724602  \n",
       "4  0.577722      0.0       0.998340  0.000992 -65.731326  "
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "segs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_field = 'median_v'\n",
    "\n",
    "ax = plt.figure(figsize=(2,5))\n",
    "import matplotlib\n",
    "from matplotlib.colors import Normalize\n",
    "cmap = matplotlib.cm.get_cmap('jet')\n",
    "norm = matplotlib.colors.Normalize(vmin = -80, vmax = 0)\n",
    "\n",
    "for i in segs[segs.Type=='apic']['Sec ID'].unique():\n",
    "    section_L = segs[(segs.Type=='apic')&(segs['Sec ID']==i)]['Section_L'].unique()[0]\n",
    "    plt.plot(segs[(segs.Type=='apic')&(segs['Sec ID']==i)]['Coord X'],\n",
    "             segs[(segs.Type=='apic')&(segs['Sec ID']==i)]['Coord Y'],\n",
    "             color=cmap(norm(segs[(segs.Type=='apic')&(segs['Sec ID']==i)][color_field].mean())),\n",
    "             linewidth = 1*segs[(segs.Type=='apic')&(segs['Sec ID']==i)]['Section_diam'].unique())\n",
    "    \n",
    "for i in segs[segs.Type=='dend']['Sec ID'].unique():\n",
    "    section_L = segs[(segs.Type=='dend')&(segs['Sec ID']==i)]['Section_L'].unique()[0]\n",
    "    plt.plot(segs[(segs.Type=='dend')&(segs['Sec ID']==i)]['Coord X'],\n",
    "             segs[(segs.Type=='dend')&(segs['Sec ID']==i)]['Coord Y'],\n",
    "             color=cmap(norm(segs[(segs.Type=='dend')&(segs['Sec ID']==i)][color_field].mean())),\n",
    "             linewidth = 1*segs[(segs.Type=='dend')&(segs['Sec ID']==i)]['Section_diam'].unique())\n",
    "#    \n",
    "#\n",
    "plt.scatter(exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord X'],\n",
    "         exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord Y'],color='k',s=100)\n",
    "plt.vlines(110,400,500)\n",
    "plt.text(0,450,'100 um')\n",
    "plt.hlines(400,110,210)\n",
    "plt.text(110,350,'100 um')\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "cbar = plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm, cmap=cmap))\n",
    "#cbar.ax.set_ylabel('log(elec_distance)', rotation=270)\n",
    "\n",
    "#ax2.ax.set_title('log(elec_distance)',rotation=270)\n",
    "plt.box(False)\n",
    "plt.savefig('median_v.svg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting morphology and voltage traces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'exc_syns' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-10b35b227edf>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mexc_syns\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mexc_syns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mType\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'apic'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Sec ID'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m     plt.plot(exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Coord X'],\n\u001b[1;32m      4\u001b[0m              \u001b[0mexc_syns\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc_syns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mType\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'apic'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m&\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc_syns\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Sec ID'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Coord Y'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m              \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'k'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'exc_syns' is not defined"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 216x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(3,10))\n",
    "for i in exc_syns[exc_syns.Type=='apic']['Sec ID'].unique():\n",
    "    plt.plot(exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Coord X'],\n",
    "             exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Coord Y'],\n",
    "             color='k',\n",
    "             linewidth = 2*exc_syns[(exc_syns.Type=='apic')&(exc_syns['Sec ID']==i)]['Section_diam'].unique())\n",
    "    \n",
    "for i in exc_syns[exc_syns.Type=='dend']['Sec ID'].unique():\n",
    "    plt.plot(exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Coord X'],\n",
    "         exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Coord Y'],\n",
    "             color='k',\n",
    "             linewidth = 2*exc_syns[(exc_syns.Type=='dend')&(exc_syns['Sec ID']==i)]['Section_diam'].unique())\n",
    "    \n",
    "\n",
    "plt.scatter(exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord X'],\n",
    "         exc_syns[(exc_syns.Type=='soma')&(exc_syns['Sec ID']==0)].loc[2523,'Coord Y'],color='k',s=100)\n",
    "\n",
    "plt.vlines(110,400,500)\n",
    "plt.text(0,450,'100 um')\n",
    "plt.hlines(400,110,210)\n",
    "plt.text(110,350,'100 um')\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.box(False)\n",
    "plt.plot(segs.loc[segs.segmentID==1959,'Coord X'], \n",
    "         segs.loc[segs.segmentID==1959,'Coord Y'],\n",
    "         'r*')\n",
    "plt.plot(segs.loc[segs.segmentID==1112,'Coord X'], \n",
    "         segs.loc[segs.segmentID==1112,'Coord Y'],\n",
    "         'b*')\n",
    "plt.plot(segs.loc[segs.segmentID==1046,'Coord X'], \n",
    "         segs.loc[segs.segmentID==1046,'Coord Y'],\n",
    "         'm*')\n",
    "plt.plot(segs.loc[segs.segmentID==1500,'Coord X'], \n",
    "         segs.loc[segs.segmentID==1500,'Coord Y'],\n",
    "         'g*')\n",
    "plt.plot(segs.loc[segs.segmentID==680,'Coord X'], \n",
    "         segs.loc[segs.segmentID==680,'Coord Y'],\n",
    "         '*',color='orange')\n",
    "plt.plot(segs.loc[segs.segmentID==482,'Coord X'], \n",
    "         segs.loc[segs.segmentID==482,'Coord Y'],\n",
    "         '*',color='grey')\n",
    "plt.savefig('fig1A.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_df = pd.read_csv('na_df.csv')\n",
    "nmda_df = pd.read_csv('nmda_df.csv')\n",
    "ca_df = pd.read_csv('ca_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = 482\n",
    "\n",
    "plt.figure(figsize=(10,4))\n",
    "s1 = 1147000#np.random.choice(range(v['report']['biophysical']['data'].shape[0]))\n",
    "plt.plot(np.arange(0,400,.1),v['report']['biophysical']['data'][s1:s1+4000,t],color='grey')\n",
    "na_spks = na_df[(na_df.segmentID==t)&(na_df.na_lower_bound>s1) & (na_df.na_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[na_spks['na_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][na_spks['na_lower_bound'].astype(int).values,t],'r*')\n",
    "nmda_spks = nmda_df[(nmda_df.segmentID==t)&(nmda_df.nmda_lower_bound>s1) & (nmda_df.nmda_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[nmda_spks['nmda_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][nmda_spks['nmda_lower_bound'].astype(int).values,t],'b*')\n",
    "plt.hlines(-60,0,400,color='grey',linestyle='dashed',alpha=0.2)\n",
    "plt.text(10,-57,'-60 mV')\n",
    "#1433413, 1161455\n",
    "plt.hlines(-50,70,100)\n",
    "plt.text(70,-55,'30 ms')\n",
    "plt.vlines(70,-50,-40)\n",
    "plt.text(40,-45,'10 mV')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.savefig('fig2G.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Sec ID</th>\n",
       "      <th>BMTK ID</th>\n",
       "      <th>X</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Section_L</th>\n",
       "      <th>Section_diam</th>\n",
       "      <th>Coord X</th>\n",
       "      <th>Coord Y</th>\n",
       "      <th>Coord Z</th>\n",
       "      <th>Elec_distance</th>\n",
       "      <th>HVA_gbar</th>\n",
       "      <th>segmentID</th>\n",
       "      <th>Degrees</th>\n",
       "      <th>Elec_distanceQ</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2521</th>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2.316936</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>-9.249733</td>\n",
       "      <td>-0.577674</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.998363</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2522</th>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>6.950809</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>-4.624868</td>\n",
       "      <td>-0.288877</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.999389</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2523</th>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>11.584681</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>-0.000010</td>\n",
       "      <td>0.000021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2524</th>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>16.218553</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>4.624854</td>\n",
       "      <td>0.288824</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.999401</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2525</th>\n",
       "      <td>soma</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>20.852426</td>\n",
       "      <td>23.169362</td>\n",
       "      <td>17.526643</td>\n",
       "      <td>9.249712</td>\n",
       "      <td>0.577722</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.998340</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Type  Sec ID  BMTK ID    X   Distance  Section_L  Section_diam  \\\n",
       "2521  soma       0        0  0.1   2.316936  23.169362     17.526643   \n",
       "2522  soma       0        0  0.3   6.950809  23.169362     17.526643   \n",
       "2523  soma       0        0  0.5  11.584681  23.169362     17.526643   \n",
       "2524  soma       0        0  0.7  16.218553  23.169362     17.526643   \n",
       "2525  soma       0        0  0.9  20.852426  23.169362     17.526643   \n",
       "\n",
       "       Coord X   Coord Y  Coord Z  Elec_distance  HVA_gbar  segmentID  \\\n",
       "2521 -9.249733 -0.577674      0.0       0.998363  0.000992          0   \n",
       "2522 -4.624868 -0.288877      0.0       0.999389  0.000992          1   \n",
       "2523 -0.000010  0.000021      0.0       1.000000  0.000992          2   \n",
       "2524  4.624854  0.288824      0.0       0.999401  0.000992          3   \n",
       "2525  9.249712  0.577722      0.0       0.998340  0.000992          4   \n",
       "\n",
       "      Degrees Elec_distanceQ  \n",
       "2521        0           None  \n",
       "2522        0           None  \n",
       "2523        0           None  \n",
       "2524        0           None  \n",
       "2525        0           None  "
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "segs[segs.Type=='soma']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "s1 = 1147000#np.random.choice(range(v['report']['biophysical']['data'].shape[0]))\n",
    "t = 88\n",
    "\n",
    "plt.plot(np.arange(0,400,.1),v['report']['biophysical']['data'][s1:s1+4000,t],color='orange')\n",
    "na_spks = na_df[(na_df.segmentID==t)&(na_df.na_lower_bound>s1) & (na_df.na_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[na_spks['na_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][na_spks['na_lower_bound'].astype(int).values,t],'r*')\n",
    "nmda_spks = nmda_df[(nmda_df.segmentID==t)&(nmda_df.nmda_lower_bound>s1) & (nmda_df.nmda_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[nmda_spks['nmda_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][nmda_spks['nmda_lower_bound'].astype(int).values,t],'b*')\n",
    "plt.hlines(-60,0,400,color='orange',linestyle='dashed',alpha=0.2)\n",
    "plt.text(10,-57,'-60 mV')\n",
    "#1433413, 1161455\n",
    "plt.hlines(-50,70,100)\n",
    "plt.text(70,-55,'30 ms')\n",
    "plt.vlines(70,-50,-40)\n",
    "plt.text(40,-45,'10 mV')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "\n",
    "plt.savefig('fig2F.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "plt.plot(np.arange(0,400,.1),nmda['report']['biophysical']['data'][s1:s1+4000,t],color='b',alpha=0.1)\n",
    "plt.vlines(400,0,0.003,color='b')\n",
    "plt.text(405,0.002,'0.003')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.twinx()\n",
    "plt.plot(np.arange(0,400,.1),100*na['report']['biophysical']['data'][s1:s1+4000,t],color='r',alpha=0.1)\n",
    "plt.vlines(300,0.09,0.12,color='r')\n",
    "plt.text(305,0.1,'0.03')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.savefig('fig2F_na_nmda.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "s1 = 1147000#np.random.choice(range(v['report']['biophysical']['data'].shape[0]))\n",
    "plt.plot(np.arange(0,400,.1),v['report']['biophysical']['data'][s1:s1+4000,0],color='k')\n",
    "plt.hlines(-60,0,400,color='k',linestyle='dashed',alpha=0.2)\n",
    "plt.text(10,-57,'-60 mV')\n",
    "#1433413, 1161455\n",
    "plt.hlines(-50,70,100)\n",
    "plt.text(70,-55,'30 ms')\n",
    "plt.vlines(70,-50,-40)\n",
    "plt.text(40,-45,'10 mV')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.savefig('fig2E.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([     36,   10566,   16347,   50506,   83839,  102296,  123244,\n",
       "        131535,  140663,  162813,  164838,  169120,  175262,  177370,\n",
       "        182826,  188296,  196185,  216036,  225826,  248304,  251838,\n",
       "        262300,  282002,  311105,  332572,  365301,  379146,  454064,\n",
       "        455271,  465382,  478305,  494777,  535099,  539431,  550098,\n",
       "        593193,  608711,  609326,  623698,  632070,  637481,  656120,\n",
       "        661707,  683464,  689290,  715548,  719465,  727620,  737137,\n",
       "        751296,  779651,  789407,  803351,  815222,  829779,  843246,\n",
       "        868386,  876572,  882938,  898599,  899308,  916285,  918884,\n",
       "        921757,  942591,  952668,  960578,  983846,  988659,  998310,\n",
       "       1008420, 1014803, 1021067, 1022192, 1056520, 1060326, 1066954,\n",
       "       1090058, 1115975, 1149158, 1175254, 1192351, 1212143, 1212599,\n",
       "       1215733, 1223982, 1234728, 1286789, 1302160, 1303370, 1307890,\n",
       "       1370547, 1382458, 1383402, 1389062, 1460091, 1466486, 1471944])"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ca_df[ca_df.segmentID==1500]['ca_lower_bound'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "s1 = 1147000#np.random.choice(range(v['report']['biophysical']['data'].shape[0]))\n",
    "t = 1500\n",
    "plt.plot(np.arange(0,400,.1),v['report']['biophysical']['data'][s1:s1+4000,t],color='g')\n",
    "na_spks = na_df[(na_df.segmentID==t)&(na_df.na_lower_bound>s1) & (na_df.na_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[na_spks['na_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][na_spks['na_lower_bound'].astype(int).values,t],'r*')\n",
    "nmda_spks = nmda_df[(nmda_df.segmentID==t)&(nmda_df.nmda_lower_bound>s1) & (nmda_df.nmda_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[nmda_spks['nmda_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][nmda_spks['nmda_lower_bound'].astype(int).values,t],'b*')\n",
    "ca_spks = ca_df[(ca_df.segmentID==t)&(ca_df.ca_lower_bound>s1) & (ca_df.ca_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[ca_spks['ca_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][ca_spks['ca_lower_bound'].astype(int).values,t],'m*')\n",
    "plt.hlines(-60,0,400,color='g',linestyle='dashed',alpha=0.2)\n",
    "plt.text(10,-57,'-60 mV')\n",
    "#1433413, 1161455\n",
    "plt.hlines(-50,70,100)\n",
    "plt.text(70,-55,'30 ms')\n",
    "plt.vlines(70,-50,-40)\n",
    "plt.text(40,-45,'10 mV')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.savefig('fig2C.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "s1 = 1147000#np.random.choice(range(v['report']['biophysical']['data'].shape[0]))\n",
    "t = 1046\n",
    "plt.plot(np.arange(0,400,.1),v['report']['biophysical']['data'][s1:s1+4000,t],color='m')\n",
    "na_spks = na_df[(na_df.segmentID==t)&(na_df.na_lower_bound>s1) & (na_df.na_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[na_spks['na_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][na_spks['na_lower_bound'].astype(int).values,t],'r*')\n",
    "nmda_spks = nmda_df[(nmda_df.segmentID==t)&(nmda_df.nmda_lower_bound>s1) & (nmda_df.nmda_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[nmda_spks['nmda_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][nmda_spks['nmda_lower_bound'].astype(int).values,t],'b*')\n",
    "plt.hlines(-60,0,400,color='m',linestyle='dashed',alpha=0.2)\n",
    "plt.text(10,-57,'-60 mV')\n",
    "#1433413, 1161455\n",
    "plt.hlines(-50,70,100)\n",
    "plt.text(70,-55,'30 ms')\n",
    "plt.vlines(70,-50,-40)\n",
    "plt.text(40,-45,'10 mV')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.savefig('fig2D.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "s1 = 1147000#np.random.choice(range(v['report']['biophysical']['data'].shape[0]))\n",
    "t = 1249\n",
    "plt.plot(np.arange(0,400,.1),v['report']['biophysical']['data'][s1:s1+4000,t],color='c')\n",
    "na_spks = na_df[(na_df.segmentID==t)&(na_df.na_lower_bound>s1) & (na_df.na_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[na_spks['na_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][na_spks['na_lower_bound'].astype(int).values,t],'r*')\n",
    "nmda_spks = nmda_df[(nmda_df.segmentID==t)&(nmda_df.nmda_lower_bound>s1) & (nmda_df.nmda_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[nmda_spks['nmda_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][nmda_spks['nmda_lower_bound'].astype(int).values,t],'b*')\n",
    "plt.hlines(-60,0,400,color='c',linestyle='dashed',alpha=0.2)\n",
    "plt.text(10,-57,'-60 mV')\n",
    "#1433413, 1161455\n",
    "plt.hlines(-50,70,100)\n",
    "plt.text(70,-55,'30 ms')\n",
    "plt.vlines(70,-50,-40)\n",
    "plt.text(40,-45,'10 mV')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.savefig('fig2B.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "s1 = 1147000#np.random.choice(range(v['report']['biophysical']['data'].shape[0]))\n",
    "t = 1800\n",
    "plt.plot(np.arange(0,400,.1),v['report']['biophysical']['data'][s1:s1+4000,t],color='r')\n",
    "na_spks = na_df[(na_df.segmentID==t)&(na_df.na_lower_bound>s1) & (na_df.na_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[na_spks['na_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][na_spks['na_lower_bound'].astype(int).values,t],'r*')\n",
    "nmda_spks = nmda_df[(nmda_df.segmentID==t)&(nmda_df.nmda_lower_bound>s1) & (nmda_df.nmda_lower_bound<s1+4000)]\n",
    "plt.plot(np.arange(0,400,.1)[nmda_spks['nmda_lower_bound'].astype(int).values-s1],\n",
    "         v['report']['biophysical']['data'][nmda_spks['nmda_lower_bound'].astype(int).values,t],'b*')\n",
    "plt.hlines(-60,0,400,color='r',linestyle='dashed',alpha=0.2)\n",
    "plt.text(0,-57,'-60 mV')\n",
    "#1433413, 1161455\n",
    "plt.hlines(-60,170,200)\n",
    "plt.text(170,-65,'30 ms')\n",
    "plt.vlines(170,-60,-50)\n",
    "plt.text(140,-55,'10 mV')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.savefig('fig2A.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([], <a list of 0 Text yticklabel objects>)"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LaR98rBbP2Ym/SLCSnfyrdCfxLODJAr1287wZcFdKaTGeDVOGR0SkZAp4ZE1gAZ1lePoR8ORvZVF0GsNWn9nqJOD5W7xWhkdEZAQo4JE18IBnOX67iFb7RD8zPFUr0kp0npXKBzzK8IiIjAAFPLImHsBkt4todTKfEc+9BDzZNBb0MI1hm4YHLm3XkZlNxyst/zUGKcMjIjICFPDITDz4yE7mrfqMqc/wFNl/1oznh+O5KnV4FuPFftB6njeNZ2V4RERGiAIemQPcR2cBz5r4Sb+XJuUz4/kxYEXBaQzb6nido04Cns3iWXV4RERGiAKeCSz6xFkfuIfOAp61gQfprPirmSzDk9UbqkLAsxbwCJ0FPFvGc1akpQyPiMgIUMAzsc3Esw/3UjuZtwp41qH3gCffC3FVAp5ZdB7w7AjcnVJ6IN4rwyMiMgIU8Exs68dzNxmeB+jsxN/MuvF8f0ynCnV4ZlG7LxY0mefImO0K/P/cYGV4RERGgAKeiS0LeO6ls6xNVqTVSTaomTnAEymlTjs7HAUdBTx4sLM58LPcsKeAVSMYEhGRkijgmdg2iec7aJPhiRP2RqycDSqSnVkPryQNYxTwmNlOwE/x4PGs3EeLAUN3TBcRKZUCnoltC/wk/nfaF2nNxlsr3UbvGZ7KBDxmtioe8OQzW1PqxpkEfAFYAuyaUlqQ+/ipeFY9HhGREingmdi2AG5LKS2jfcCzSTzfTm8Znjl4FgSqUYcnK/a7i+YZnoOB3YDjU0q31X2W3Vle9XhEREqkgGdi2wK4NV63C3iyDvVup7cMz0bA3fF65DM8eK/J4PO8PF7XBzxvxrNkpzf4vjI8IiIjQAHPBBV1crak84Bnk3i+nYKttMxsLbwpfJYFqULAs2E8303z5d4euDKltKLB97N7hq3W4DMRERkSBTxjxtxzOhh1Q7xOzl/ifbuAZzvgvpTSoxQv0toknm+P507u0F62LOBpWKQV987aBLi5yfez+jxrDGLmRESkMwp4xs/bgNvNbLf8QDOrDyx2juesz5h2Ac8LgKvjddEiraxYLJ/hGfU6PJvj9w57mMYZnm3wVlg3Nvl+FvCs2eRzEREZAgU84+d18bxfNsDM9gOWmNmWufF2xYOcP8T7pgGPma2On9jrg6OiGZ4qFWltA9ycUkrUAp78PG8Xzwp4RERGmAKeMRL1cnaJty/NfXQMvq33yg3bE7gqpZTdCLRVhmeH+P7v433RDM9WwCMppUfifVUCnj/F60YZnu3x5ui30pgCHhGREaCAZ7xsg9c5eQiYa2YzYnhWp2cnADObiRdpzc99t1XA84J47jXDkw8eYMSbpcd62oDWAc92wJ+iaX8jPQc8ZnaCmX00Mm0iIlKAAp7xsn88n4CflHc1sw3xeigAL47nvfBt303Ac1dK6Z54XzTDszUrBzyjnuHZOp4bBjyRUdsBuKHFNHoKeMzsHcCngI8Ad0VHiCIi0iUFPOPlTcAVwNn4yfnl1IqxfgRsZ2brA2/HbxFxee67rQKeudSKs6BAs3Qzm43fODTfmqnSAQ+wGX6rjN+0mMZT+LrtOuAxs7cAXwEuAr4T09im2+mIiIgCnsozs0lmtqeZzcXrk5yVUloIXAkcB3wLb2F0Il7X5FJgH+CrKaWluUk17BHYzLbC++vpNBuEmR1oZleYWf7z7ERdpQzPDvh6+Vu8rw949onnXzebQFR2XkCLgMfMdjGz+Wa2Zm7YWsCX8KD0QOAz8dHWDSYhIiJtKOCpoLh3U+Y9wK+Aq4AngDNj+Gdz45yRUroJ+BgevCwFvlg32YXxPKNu+Ovj+Ye5Ye0yPD/Ei892yg3LmsFfVzedka3Dg1f8vjJXP2dJPE8zsznAx/Fg56Y202ka8ESx2JXAHqxc0fyo+M7/jYrlf43hW3S5DCIiggKekRcnxKdfm9lxwONm9t7o9O6E3Oj/Fh0DklK6AM/AzAU+mH0OfAg4IKX0UN1PPRHP9RVjXw/8LqX0j9ywppWWzWyz3Nudc69fCNyTUrorN2xkMzxRYXkH4LLc4EVAwoPCV+I3FT0msjitLKB5x4PPw/vxAdgxfnsWcDTwo5TS9QAR9NyFB6wiItKlUb66nvDMbAvgajM7LKV0IbA7cHJ8/EU8kNkAr6fzMHB9/vuRmbg6934J8OlGv5VSWm5mi8gFPGa2OR60fLBu9FaVlg/Nvd4h93ou8Lu6cZcDqzSanxGwK35B8HTAk1JKZvYEHvDshAdA1zX++koW4LfUaORQfD0sxIMfgH+O8T9eN+6tKMMjDWQdjaaUWtUny8adiV9oHATcD1yRUnpwsHMoUj4FPKPtnXgW4QPAhXil5CfxvnbOAe4DPpRSmt90Ct1ZyMoZnvfiwc3Z+ZHixN+sl+RD8YrTi1k5Y7EVcEbduCOb4QFehi/7b+uGZwHP1sAfUkrL67/YwIP48q8ksneHAr/A19f2cTI6Bjg/pVQfTN1CrWNJEeDpjkEvj9fTU0qLW4y7G3AxK9/M9nxqLTxFxpaKtEZUVPh9a7zd0cym4Ce7eSmlG1NKW6eUXpZSOrP5VLr2dMATvTK/Bzg7pXRng3GXUZfhMbNt8YrTZ+MH4J1jWNaPz9WsbJTr8LwUuDrXMWNmIV63ZidWbrnWyt3U7rqetwve+/R38R6vnwuchQe5H2sw/q3AuvnKzSLA4bnXr2kz7gl4kfQp+PHkdmr/T5GxpoBndB0EzMGzIrOA8/BOBX86wN/MZ3g+iB8Yj2sy7hJWvkoEeCOwAs8+nYbXTXkFsBte96U+QBiZDE9dXamZ+EngsgajPoEX861OdwHPWlHnKu8wvNn6ecD38XW3D3BKSumaBtPJbl/x4gafyQRkZtvjRZ+/Bx7A96lm424J7IvX9Ts+6vn9N7BBrpNS6UHUs3yJma1X9rzIMyngGUFmtg1eR+fPwLvwAGJfvM7IoAOeNeLk/0rgolxng43GffogGd85BLg0pXRvSukO4F68WOvlwDW5W0pkRiLgMbOtgdvM7M0x6P/h2avvNxj9fmoVhzsNeLKK2ptE8R6RpTkCODel9Fi0otsd2C2ldHyT6VyM1wd6b11LPZlgzGyWmZ2G14tbhF9sfBs40MxekBvvlWb2gzimfAe/UPlqblJZlwubIj2JY+Dn8Aulb5Q8O9KADpqj6US8qOe1UR5/CF7pd5eU0n0D/N1HgGfhJ/SN8bolzdTX99kOL5L5QW7YdXh250X4ybpe6QFPXImdh99+4/RoBXcs3k9RoyxLVrx3Lyv3KdRKdoPWm4D7zewYvMhqDeDfs5FSSlemlK5oNpHYF04CXovvIzJxnYUXeZ8F7JFS+hu+b9wLfN/M5pjZW4GfAwfj+97zgTfWXcRkAU++daUUcxR+7AB4iS5KRs/IbRAzW8vM9i57PspiZpOBV+OVVm8BryScUro6pdTqFgb9cAd+4s/W/y9bjJtV3s28AS+SyffXcx3eqmgqMK/BNEqtw2Nmz8X7wHk2cDw+/yfj9wz7QJOvZX3u/CKltKLDn7qRWrP/ycDn8WbnP0kp1ddraudzwE+Ao5oVQ5jZ5MgAjGoLOOmBmb0Ir6tzfErpyJTSrQCRQT0Q358/ge9nV+B1fC4FXpVSOq9uchM64KnrHLXT7xxlZjeZ2Rq5Ybvj3X78CPgn/GJm8yaTkJKMRMCT7XRx24OHgYviZDQRzQVmAz8r4bdvj98+OF7/tcW4+QrO+eKsfAYqu9noozSuD1NahsfM9sArUc/Ar5BPwYO97YFdU0qPN/nqaXhW5oQmnz9DdA+wD35FPhXPeL0tHl2JPn9OxrfTEfnPzGxVM/sIHkg+QuMiOam+Y4DHWLloCoAIoC8A3gGsDRyVUvpWSmmPlNKlDab1EPA4EzDgMbN/wfs0e3PbkX38k83sEvz/vw2wm5ltbWbPxiuB34P/p7OLmJ0bTkjKk1Iq9YFnMxbiLQYuxiu3JrxzvDLnazW8TPzFA5j2JGDzJp99Ag8E1iphmV+XW///0WbceXiHhOD97STgn+rGmQp8EtiryTS+Bdw2xOVbG7+P2CrAH/FWT88pcz8ruByGt4JbCLwl3k/Br+JT3WNu2fOrR1+3/dZxfDilxTgvxruv+HaH07wO+GnZyzbk9Xh0/D8eieePthl/h9x/6ol4/lLudQLeGeNOxRsjfKbs5dSjbjuW+uNeV2RB7CyL4/kj8Xxci++tB7wbmDLAeTs05uOP+H2M/hF/jvnAs3uc9ikx7UPwtOcuMdzi9y4vaXtMw4tfHgK2ajPuOcAfc8uzFHhWl7/3TeDvXX5nP+B0YEYX3/k4cABekTBFsJCAN5Sxnvu0rdbH++VJeKB6arw+Em/Nt0tsx1vwehvZ92aSC7bxjNY6ZS9PgeWfhteZeH7Z8zLk5T4zTrLrthlvlS6meS7wpxKWZV+8S4adh/y7k/FszEV4pvTc+O/s0+I7X8Yrh2+G3wT517lA53687uLU3PhXAr8ve3/pYF18IJZ/ctnzMpTlLXllb4gX3Xw1t/PMjJ3xtCbfmYYXtSTgLQOaL8v9CbLHTXgFwQR8uodp57MoS/Cr9MV4XZd9YvjhJW6TKZ0cLCPouCPW1R0UuELEm8Te3cX4W+TW3e/wvm3+i7iyavKd/JVZ/nENMKms9dynbTUVz1Jly/SFus/3xitWJ7xS+S544L4c+AJe3yrhRY4fKXt5uljumdSC1vvixHk0YGXP24CXexu8nlnT7E7B6Z6CZyQ6vojo8fcmU7uwTfgNj4e5Hvckd8FDLeN7Cw0uovGi+wX4PQmzYR+KaVzX5Df+OT5/Xtn7Td1yvyz33nLb4H1MgKCn9BmIFb8e3vrllHg/H/hN7rP940S8Ln6jzGwj/WIA8/LNCEISnu3Ifmvt+PwGvEJxkWmvhjdRvgbvn+ZJvAXPgjhwPwj8nS6uzkrcZv+J1yPYNdbPWwtM4yvAfR2MNwOvgPkPvI7Xv8QB+ukApsV3v8zKgc7b8KuxHcteh33aDrvEPnkqDQI4/Ap2AV45dQFeNysLgh6IdfGPeN92nZR9UAQ2wutILMXrMq3IbduNyt4eA1xuw+tkLcyORX2c9h7Zf2NIy3Js/N538Jag1w95XX4l1uNquWEHxTy9u8H4R8Znu+aGrY4XaW3f5DeeFceob5S978T87J37nxyFXyztycrHxruArcue14Guh7JnoMnG+Qqejp9E7UruGrwS7GLg/+DFFMuBDfr4u5vnNv5ivDfdH+G3b8jGORv4W5fTnY5nRG6Lab80N3wS3sndz2OZDy57/Xe4TO/PHbQWAWsWmMYXgYc6GC8LWi4Bdo9h78ltq+XA6g2+t0Vsx2/EPvP+stdbSdvqpFhPd+JZ1cl4XZBJ8fksvLh2Hi0CGrxPqMXAkQ0+2x4vNpzeh/ltmKkBXkUtI7pfDHs9cFUs38vKXtcD2n7vohbgf3IA05+E1+O5lVyxzICWZQqeEb4s3mfZpYFVT6j7/bXwwP/bdcMnAb/BiwtXrfvsAvyCoasMIn4eS5Rcjw4Pbu6I809Wz29JPP8Dz5QfEcfRfytzXge+LsqegSYb6H/Hxjgnnn8WO9xiohgLvzdRAv6DPqVi8SzCMrwTrvWajPPh+N1nnGBbTPcT1Mp6v1b2+u3TujowF3CcU3AaJ8X6blq0BLwkfuNzDT5bL06CCdi77rNV8Gb1C+hjUFzFB34rjH+lRQVtPGuW8GKuVRt8PgPPCGUHy+fnPptD7U7yP8Rvl/Gmbk8QMa098WznQQ2W4eE4MW9a99mm8dtvL3tdD2DbzYjl/gNeb3HagH5n31iH/1lku3XxO4fE7+wf798W7/uaWcAzgZfgXTjMyQ0/MX7vGXW/8IA9AS/JDZuOZ+K/UGAe5sT0PlDCfrM1MCtevzTm4w14pvBA4Fr8Auh5ue9ciAe9Y1s0XPoMNNlY04G/xEa6GI++jbqrALzSWQJO7cNvboZfaZzRZrz9yUXteJHB1niT4/0bjP/COBmcXfZ67fM2yteneXnBaRwV329a2Rmv1PgATTIHeH8Xy1i5fH1Dalcy7yh7XVXhEf+vrOXKtdS1IsQ7Skx4pfEngS822I7zcvtEokUl0CbzsDYe7CS8mM5yn70zhr+owfcm4xdDny17PQ5gu5QZ4OAAAAnjSURBVGR1QfreWrTB9v98/NZ7BvgbV8ZJdXIM2zl+8/V9/p15cVxYggc+0/FMxuPAeU2+txae5fhEblgWCL6q4Lz8HThzQOtzZu71DLxO5M/xoraEZ3XWwy92VpBr+YufUyfVTe/d8b3tBrmvlfkofQZabMw1I1homuqMnfhR4M99+L1z8XTmhm3Gy07078XLfbPUYPaYht9j6g14hdqFeNpw017ncdQe+C0YPkvBKwL8vj9Nr+7wcvIngS+1mc7XYzpb4i3qUpwADyt7HVXtgQf0jwKXxPud8KLHlB24479yF7Uisavx4ubVWblu1Q8aTH9tvB+iZxSdAN+L/1N2wN4LL247DL8Aur7ZvkZd02o8Rf8rYI2y12kP22IHvF7fr4f0e4bX77pwQNPPsrHvzQ1bLU7G/9rH3zmCWkXcLIN0B14xeTFNugSJ7/4auBkvepuMB2gP0iDr2eG8nE+0Zu3T9nk3HiSenv3H8OL6m2M93hnDb4tlvREvqru2g+mvj58D78HvpVjpRh0Nl7HsGejDTpBdAR2A15xvVQdhGg2ac1KrtHdiB783KffHWRYH+8Oo1TN5H7Xs1OPAj4H1y15Po/jAK26vlELOffYavBgzEfV2WkxnA2qd7SW8c8Dnlr18VX3EwS5RC3SW48H71Pj8zdQCkm3j9THx2c74VfG/48HPBrnpbpjbRnfh9bB2xuuDnRbDP4QHTtkBe2FuHg5pMc9n4VfTW+CVmbOg6xlZ11F+xEl2bfyWLI/GMm05xN//Ml4M3Nc6NXj25B68JVR9HZlbge/14TdWwXuZfgzP8GYB+SvxG/gm4GNtppFVXv46Xk800cOFE7W6pqsVnUZuWm/M7dcJL/3ILrhvx+9ZOAkvrZjEytUOOioFwe99eHN858PD2u+G9Sh9BvqwE2xetxPsX/f5jngUfCZ+n5lHiVRg7CBHxwa+nQ4rXOLlw1+Ng/TsGLYatavbB+OgP5SKeFV94M1sE3UtvPBMTdYv0+/p4EqDWtcGX2CMy6CHtF3Wyf2fLiVXByI+n4FnLf+AFx08Rt2FBF6vZim5ztfwIpOl+FXq5az8v12CNwiYEuNuHNvyArzn75Ytk/CehfPTy7qu6Hsl3y7W41Q8C214kPjqBuPMAP5XvF4z9vdsGf4CbDzkeX5T/HZf+8bBK/AuB3Zq8NmPgRt7nP4sPDjMsrv1RbLr4gFDy2NybKtP5LbBd3s5nuAXBYmC9cvwAHhy7Cd/wRu2fJModsTry23f7BiJZ5gS8JouftPiv7iMJq3QqvoofQb6shDeJDdrqXFODFsXv0JdjAcgd+V24iPxSs/ZSXUFfqPOXufjuzG9I8peJ1V4xB/5CfzkuV5u+KlxAtyYDlPJ8SedXfYyjcsDv33BVTQp4qV2JZyADzYZ56d4psaoq8sWw+biraw2b3bA7mJ+V8WLM0/EM36GF3PNK2n9rYcXoyzBM8LZuvpe7PeT4iR9dQw/F+9bammccD9MXaA5pPneiD5f3VPruqJhC6DYZivooVsBahn2M7s5ubeY3n540VhP3TBQq7d0P95UfTZepNvJRdzGeBD3cHy/6/MUnvXaocB8r40HPIX7nBvFR+kz0NeFqVW62wu/aliCl3XOic8NT6k+hqc4H8aLs7bo0+/PjD+KMgydr7Osg8dfxvusNU7PKW49BrrdDG/u/xuatBzC6xYkvNPO5fjV6dD6P4r5e2BY/8dYJ6/Du7K4Bw/wvhrr6Hhq3QOcgxd3L4n1cg2efX4QOHQEtu3P8aLEvfAOApt2ORHHvLfiXWs0yzJcil/UNGzZSq1e5KcKzOsqsW4T8Pmy112TeXxeBA8ptndqF7jg1S+uje3w/QiaXjHk+f4lXvoxNuez0megzxson9ZMwAkNxsnq/NzKCPWCOVEf+JV51uNv1u/RMuJ2G3pU9xEH7avjRP5JopnsEH8/a3XS8jYpPUzf8DpIa8T7rILsE3hW53V140+Kk1iKAOBUBtz6quBybRQXHdlxtGlLRzxjlY33jKbbeAvWplnA3HjfwasEHAych1c4vwK/QH13o5Mutc4YUxxDhtJTdMF1ehxeBPxNmmS78Mxk1not62fsdcOcz7r5eXvMw0tzwzbEK59XsquP0mdgABtpv9hId9OgTk78SV5MhVtvjNsDT59mlVkTcHTZ86RHX7dvKVeIcXBehvfFkr/PUSe3Tpke3zuNBh3H4RWrz6NW12ZbvAjrKlq3LF0/TmZDDf4KrLttqGWkvthknOxWOF/D+3BZDmybX894k/BFtCmew4sAs3pXC/Cs2HzgzzHs8Pz+hBepZsHD8WWvry7X7eXAb+P1NLzZeHbj7PPxCt63RcBXWnYFrzd0Tzz2w+ulLqUW1L+p7HXZ9TKVPQMD2lB70eMNPvUY+jbbGK+D0fBqTg89ijyoZXn+K95vFyfU8/DWLK/Fi9x2zn1nCrUbzSa8+Km+ZdHpcYL/Jl6/Ihu3Uq3COlh/lwJX1Q1bLU5+T0WwtwZeP+VRvFn7xnhR1wWxTt7c4W+tg/fptFVumOFZ+4vi/WxqgWbCK0NX6niB9y69JNZjVqn4RmqtUhfGut1zBOb1+dRuRbMErxf3cmo3T/0W3qK2Etug9BnQQw899Bjkg9qd5D9FrWPDxMr34boBL345Ec/UJLzRQ9ZqaV+8x9q5ccJKwEkx/Y3x+oPHVuXA38W6y5r4z4+T8mciYEx4vaN1c+O+DK8fuRxvELIUeF8f5iFrNfUrvHh0Cd66tuPe7kfpQe0G0o/F87ExfEoEQDczQrdJwTOl90VAu00Mm4r3wfZkLMO76r7zUrxPoO9SK6Yz+nDrmV4eFjMiIjKWzGwmfrLO6qYchmd13oEXTf0W+DZeBAPeg/vX8EzCZDylP7tusv+Nn8yXDHr+y2Rm++Ct7cCLndfCi6m+gXdOeWfd+NvildUBfpRSurwP87A+vn1Wx7NpH0kpXdvrdMtiZjPwdbgGHuAcn1JaUepMtWFm0/HAZWGD4b8GnoNv9+vwPqTOxOusEcOuwAO9M1NKxw9rvusp4BGRsWdmG+Pp+QtTSssafL45fkC+KqV0Rd1nxwOfxivIzsN7dr+ifhrjyMwm4ZmuG/BivK3wu5vrxCEAmNl2eNAzKzf4Mry4+CC8odCO+IXEl1JK5w99JoMCHhGRNsxsnZTSA2XPh8goMrPV8Va2L8SLwD6WUnos9/n0lNKisubv6flQwCMiIiLjblL7UURERESqTQGPiIiIjD0FPCIiIjL2FPCIiIjI2FPAIyIiImNPAY+IiIiMPQU8IiIiMvYU8IiIiMjYU8AjIiIiY08Bj4iIiIw9BTwiIiIy9hTwiIiIyNhTwCMiIiJjTwGPiIiIjD0FPCIiIjL2/gf+HOiUMntyagAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "s1 = 559133+1000#np.random.choice(range(v['report']['biophysical']['data'].shape[0]))\n",
    "plt.plot(np.arange(0,400,.1),v['report']['biophysical']['data'][s1:s1+4000,0],color='k')\n",
    "#1433413, 1161455\n",
    "plt.hlines(-10,40,70)\n",
    "plt.text(40,-15,'30 ms')\n",
    "plt.vlines(40,-10,0)\n",
    "plt.text(5,-5,'10 mV')\n",
    "plt.box(False)\n",
    "plt.xticks([])\n",
    "plt.yticks([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = ca_df[~pd.isnull(ca_df.ca_lower_bound)].reset_index()\n",
    "i = np.random.choice(x.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 200)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "seg = 1842\n",
    "lower_bound = 15000\n",
    "plt.figure(figsize=(12,10))\n",
    "plt.plot(np.arange(0,600,.1),-(hva['report']['biophysical']['data'][lower_bound-1000:lower_bound+5000,seg]+\\\n",
    "         lva['report']['biophysical']['data'][lower_bound-1000:lower_bound+5000,seg]+\\\n",
    "         ih['report']['biophysical']['data'][lower_bound-1000:lower_bound+5000,seg]),color='b')\n",
    "plt.hlines(np.mean(-(hva['report']['biophysical']['data'][lower_bound-1000:lower_bound+5000,seg]+\\\n",
    "         lva['report']['biophysical']['data'][lower_bound-1000:lower_bound+5000,seg]+\\\n",
    "         ih['report']['biophysical']['data'][lower_bound-1000:lower_bound+5000,seg])),0,600,color='b')\n",
    "plt.xlim(0,200)\n",
    "\n",
    "plt.twinx()\n",
    "plt.plot(np.arange(0,600,.1),v['report']['biophysical']['data'][lower_bound-1000:lower_bound+5000,seg],color='k')\n",
    "plt.plot(np.arange(0,600,.1),v['report']['biophysical']['data'][lower_bound-1000:lower_bound+5000,0],color='k',alpha=0.2)\n",
    "plt.xlim(0,200)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "ca_df.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in np.random.choice(ca_df[(ca_df.ca_lower_bound>2000) & (ca_df.ca_lower_bound<1400000)].index,100):\n",
    "    seg = ca_df.loc[i,'segmentID']\n",
    "    if not pd.isnull(ca_df.loc[i,'ca_lower_bound']):\n",
    "        spkt = int(ca_df.loc[i,'ca_lower_bound'])\n",
    "        \n",
    "        trace = -(hva['report']['biophysical']['data'][spkt-1000:spkt+1000,seg] + \\\n",
    "                lva['report']['biophysical']['data'][spkt-1000:spkt+1000,seg] + \\\n",
    "                ih['report']['biophysical']['data'][spkt-1000:spkt+1000,seg])\n",
    "        peak_value = np.max(trace)\n",
    "        half_peak = peak_value/2\n",
    "        duration = np.arange(0,2000)[trace>half_peak] + spkt - 10\n",
    "        ca_df.loc[i,'duration_low'] = duration[0]\n",
    "        ca_df.loc[i,'duration_high'] = duration[-1]\n",
    "        ca_df.loc[i,'peak_value'] = peak_value\n",
    "    else:\n",
    "        ca_df.loc[i,'duration_low'] = np.nan\n",
    "        ca_df.loc[i,'duration_high'] = np.nan\n",
    "        ca_df.loc[i,'peak_value'] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>segmentID</th>\n",
       "      <th>ca_lower_bound</th>\n",
       "      <th>duration_low</th>\n",
       "      <th>duration_high</th>\n",
       "      <th>peak_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2563</th>\n",
       "      <td>158</td>\n",
       "      <td>1069</td>\n",
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       "      <td>508191.0</td>\n",
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       "      <th>4296</th>\n",
       "      <td>362</td>\n",
       "      <td>1072</td>\n",
       "      <td>1254601</td>\n",
       "      <td>1254678.0</td>\n",
       "      <td>1255713.0</td>\n",
       "      <td>0.002945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7196</th>\n",
       "      <td>105</td>\n",
       "      <td>1113</td>\n",
       "      <td>349293</td>\n",
       "      <td>350266.0</td>\n",
       "      <td>351131.0</td>\n",
       "      <td>0.002592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7241</th>\n",
       "      <td>150</td>\n",
       "      <td>1113</td>\n",
       "      <td>495356</td>\n",
       "      <td>495775.0</td>\n",
       "      <td>496369.0</td>\n",
       "      <td>0.003116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8421</th>\n",
       "      <td>400</td>\n",
       "      <td>1115</td>\n",
       "      <td>1259735</td>\n",
       "      <td>1260697.0</td>\n",
       "      <td>1261017.0</td>\n",
       "      <td>0.002950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311425</th>\n",
       "      <td>78</td>\n",
       "      <td>2403</td>\n",
       "      <td>204744</td>\n",
       "      <td>205494.0</td>\n",
       "      <td>205794.0</td>\n",
       "      <td>0.003171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312627</th>\n",
       "      <td>192</td>\n",
       "      <td>2405</td>\n",
       "      <td>457039</td>\n",
       "      <td>457064.0</td>\n",
       "      <td>458052.0</td>\n",
       "      <td>0.002928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314071</th>\n",
       "      <td>372</td>\n",
       "      <td>2407</td>\n",
       "      <td>810363</td>\n",
       "      <td>810543.0</td>\n",
       "      <td>812048.0</td>\n",
       "      <td>0.003003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315127</th>\n",
       "      <td>21</td>\n",
       "      <td>2409</td>\n",
       "      <td>55870</td>\n",
       "      <td>56852.0</td>\n",
       "      <td>57859.0</td>\n",
       "      <td>0.003151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327976</th>\n",
       "      <td>16</td>\n",
       "      <td>2461</td>\n",
       "      <td>362410</td>\n",
       "      <td>363410.0</td>\n",
       "      <td>363522.0</td>\n",
       "      <td>0.003142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>137 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        index segmentID ca_lower_bound  duration_low  duration_high  \\\n",
       "2563      158      1069         507212      508191.0       508356.0   \n",
       "4296      362      1072        1254601     1254678.0      1255713.0   \n",
       "7196      105      1113         349293      350266.0       351131.0   \n",
       "7241      150      1113         495356      495775.0       496369.0   \n",
       "8421      400      1115        1259735     1260697.0      1261017.0   \n",
       "...       ...       ...            ...           ...            ...   \n",
       "311425     78      2403         204744      205494.0       205794.0   \n",
       "312627    192      2405         457039      457064.0       458052.0   \n",
       "314071    372      2407         810363      810543.0       812048.0   \n",
       "315127     21      2409          55870       56852.0        57859.0   \n",
       "327976     16      2461         362410      363410.0       363522.0   \n",
       "\n",
       "        peak_value  \n",
       "2563      0.003170  \n",
       "4296      0.002945  \n",
       "7196      0.002592  \n",
       "7241      0.003116  \n",
       "8421      0.002950  \n",
       "...            ...  \n",
       "311425    0.003171  \n",
       "312627    0.002928  \n",
       "314071    0.003003  \n",
       "315127    0.003151  \n",
       "327976    0.003142  \n",
       "\n",
       "[137 rows x 6 columns]"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ca_df[~pd.isnull(ca_df.duration_high)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb74ab1ea20>]"
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "seg = 2403\n",
    "lower_bound = 204744\n",
    "#upper_bound = \n",
    "plt.plot(-(hva['report']['biophysical']['data'][lower_bound-1000:lower_bound+1000,seg]+\\\n",
    "         lva['report']['biophysical']['data'][lower_bound-1000:lower_bound+1000,seg]+\\\n",
    "         ih['report']['biophysical']['data'][lower_bound-1000:lower_bound+1000,seg]))\n",
    "plt.plot(1000,-(hva['report']['biophysical']['data'][lower_bound,seg]+\\\n",
    "         lva['report']['biophysical']['data'][lower_bound,seg]+\\\n",
    "         ih['report']['biophysical']['data'][lower_bound,seg]),'*')\n",
    "\n",
    "plt.plot(1000+205494-lower_bound,-(hva['report']['biophysical']['data'][205494,seg]+\\\n",
    "         lva['report']['biophysical']['data'][205494,seg]+\\\n",
    "         ih['report']['biophysical']['data'][205494,seg]),'*')\n",
    "\n",
    "plt.twinx()\n",
    "plt.plot(v['report']['biophysical']['data'][lower_bound-1000:lower_bound+1000,seg],color='k')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ca_df = pd.read_csv('ca_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "segs_ca_df = segs.set_index('segmentID').join(ca_df.set_index('segmentID')).reset_index() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_ca_sta(segs_ca_df, spktimes):\n",
    "\n",
    "    ca_apic = np.zeros((10,27,))\n",
    "    #(~pd.isnull(segs_ca_df.ca_lower_bound))&\n",
    "    edges_apic=np.quantile(segs_ca_df[(segs_ca_df.Type=='apic')]['Elec_distance'].unique(),np.arange(0,1.1,0.1))\n",
    "    \n",
    "    actual_spktimes = []\n",
    "    c = 0\n",
    "    for i in np.sort(spktimes):\n",
    "        # excludes bursts\n",
    "        if i-c > 10:\n",
    "            for e in np.arange(0,10):\n",
    "                ca_inds = segs_ca_df[(~pd.isnull(segs_ca_df.ca_lower_bound))&\n",
    "                                     (segs_ca_df.Type=='apic')&\n",
    "                                     (segs_ca_df.Elec_distance>edges_apic[e])&\n",
    "                                     (segs_ca_df.Elec_distance<=edges_apic[e+1])]['ca_lower_bound'].values.astype(int)\n",
    "    \n",
    "                x2, _ = np.histogram(ca_inds/10,bins=np.arange(np.floor(i)-100,np.floor(i)+40,5))\n",
    "                ca_apic[e] += x2\n",
    "                \n",
    "                \n",
    "            \n",
    "            actual_spktimes.append(i)\n",
    "        c = i\n",
    "    return ca_apic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "ca_apic = get_ca_sta(segs_ca_df, spktimes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "rand_spktimes = np.sort(np.random.choice(np.arange(0,150000), spktimes.shape[0]))\n",
    "ca_apic_rand = get_ca_sta(segs_ca_df, rand_spktimes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.subplot(2,1,1)\n",
    "plt.title('Ca spikes - apical')\n",
    "plt.imshow((ca_apic-ca_apic_rand)/len(spktimes),cmap='jet')\n",
    "plt.xticks(ticks=np.arange(0,26,4)+0.5,labels=['{}'.format(i) for i in np.arange(-100,40,20)])\n",
    "#plt.xticks(ticks=np.arange(0,40,2)-0.5,labels=['{}'.format(i) for i in np.arange(-20,20,2)])\n",
    "plt.colorbar(label='events per AP')\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.savefig('caspikes.svg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# NMDA effect on calcium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "ca_spktimes = segs_ca_df[(segs_ca_df.Type=='apic') & (segs_ca_df['Sec ID']==50)]['ca_lower_bound']/10\n",
    "#ca_spktimes = segs_ca_df[segs_ca_df.segmentID==1738]['ca_lower_bound']/10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_nmda_sta_calcium(segs_nmda_df, spktimes):    \n",
    "    nmda_dend = np.zeros((10,27,))\n",
    "    nmda_apic = np.zeros((10,27,))\n",
    "    \n",
    "    edges_dend=np.quantile(segs_nmda_df[(segs_nmda_df.Type=='dend')]['Elec_distance_nexus'].unique(),np.arange(0,1.1,0.1))\n",
    "    edges_apic=np.quantile(segs_nmda_df[(segs_nmda_df.Type=='apic')]['Elec_distance_nexus'].unique(),np.arange(0,1.1,0.1))\n",
    "    \n",
    "    actual_spktimes = []\n",
    "    c = 0\n",
    "    for i in np.sort(spktimes):\n",
    "        # excludes bursts\n",
    "        if i-c > 10:\n",
    "            for e in np.arange(0,10):\n",
    "                nmda_inds = segs_nmda_df[(segs_nmda_df.mag<-0.1)&\n",
    "                                     (segs_nmda_df.Type=='dend')&\n",
    "                                     (segs_nmda_df.Elec_distance_nexus>edges_dend[e])&\n",
    "                                     (segs_nmda_df.Elec_distance_nexus<=edges_dend[e+1])]['nmda_lower_bound'].values.astype(int)\n",
    "    \n",
    "                x2, _ = np.histogram(nmda_inds/10,bins=np.arange(np.floor(i)-100,np.floor(i)+40,5))\n",
    "                nmda_dend[e] += x2\n",
    "                \n",
    "                nmda_inds = segs_nmda_df[(segs_nmda_df.mag<-0.1)&\n",
    "                                     (segs_nmda_df.Type=='apic')&\n",
    "                                     (segs_nmda_df.Elec_distance_nexus>edges_apic[e])&\n",
    "                                     (segs_nmda_df.Elec_distance_nexus<=edges_apic[e+1])]['nmda_lower_bound'].values.astype(int)\n",
    "    \n",
    "                x2, _ = np.histogram(nmda_inds/10,bins=np.arange(np.floor(i)-100,np.floor(i)+40,5))\n",
    "                nmda_apic[e] += x2\n",
    "            \n",
    "            actual_spktimes.append(i)\n",
    "        c = i\n",
    "        \n",
    "    return nmda_dend, nmda_apic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "edges_apic=np.quantile(segs_nmda_df[(segs_nmda_df.Type=='apic')]['Elec_distance_nexus'].unique(),np.arange(0,1.1,0.1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in np.arange(0,len(edges_apic)-1):\n",
    "    plt.scatter(segs_nmda_df[(segs_nmda_df.Type=='apic')&\n",
    "                         (segs_nmda_df.Elec_distance_nexus>=edges_apic[i])&\n",
    "                         (segs_nmda_df.Elec_distance_nexus<edges_apic[i+1])]['Coord X'],\n",
    "                segs_nmda_df[(segs_nmda_df.Type=='apic')&\n",
    "                         (segs_nmda_df.Elec_distance_nexus>=edges_apic[i])&\n",
    "                         (segs_nmda_df.Elec_distance_nexus<edges_apic[i+1])]['Coord Y'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "ca_spktimes_nodupes = np.sort(ca_spktimes[1:])[np.diff(np.sort(ca_spktimes))>100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "nmda_dend, nmda_apic = get_nmda_sta_calcium(segs_nmda_df,ca_spktimes_nodupes)\n",
    "rand_spktimes = np.sort(np.random.choice(np.arange(0,150000), ca_spktimes_nodupes.shape[0]))\n",
    "nmda_dend_rand, nmda_apic_rand = get_nmda_sta_calcium(segs_nmda_df, rand_spktimes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.subplot(2,1,1)\n",
    "plt.title('NMDA spikes - apical')\n",
    "x = (nmda_apic-nmda_apic_rand)/ca_spktimes_nodupes.shape[0]\n",
    "plt.imshow(x,cmap='jet',vmin = -1, vmax = 5)\n",
    "plt.xticks(ticks=np.arange(0,26,4)+0.5,labels=['{}'.format(i) for i in np.arange(-100,40,20)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.colorbar(label='additional events per Ca2+ spike')\n",
    "plt.xlabel('time (ms)')\n",
    "plt.xlim(5,26)\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "plt.title('NMDA spikes - basal')\n",
    "x = (nmda_dend-nmda_dend_rand)/ca_spktimes_nodupes.shape[0]\n",
    "plt.imshow(x,cmap='jet',vmin = -1, vmax = 5)\n",
    "plt.xticks(ticks=np.arange(0,26,4)+0.5,labels=['{}'.format(i) for i in np.arange(-100,40,20)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.colorbar(label='additional events per Ca2+ spike')\n",
    "plt.xlim(5,26)\n",
    "\n",
    "plt.xlabel('time (ms)')\n",
    "plt.savefig('nmdaspikes.svg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Na effect on Calcium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_sta_calcium(segs_na_df, spktimes):\n",
    "    na_dend = np.zeros((10,39,))\n",
    "    na_apic = np.zeros((10,39,))\n",
    "    \n",
    "    edges_dend=np.quantile(segs_na_df[(~pd.isnull(segs_na_df.na_lower_bound))&\n",
    "                                       (segs_na_df.Type=='dend')]['Elec_distance_nexus'].unique(),np.arange(0,1.1,0.1))\n",
    "    \n",
    "    edges_apic=np.quantile(segs_na_df[(~pd.isnull(segs_na_df.na_lower_bound))&\n",
    "                                       (segs_na_df.Type=='apic')]['Elec_distance_nexus'].unique(),np.arange(0,1.1,0.1))\n",
    "    \n",
    "    actual_spktimes = []\n",
    "    c = 0\n",
    "    for i in np.sort(spktimes):\n",
    "        # excludes bursts\n",
    "        if i-c > 10:\n",
    "            for e in np.arange(0,10):\n",
    "                na_inds = segs_na_df[(~pd.isnull(segs_na_df.na_lower_bound))&\n",
    "                                     (segs_na_df.Type=='dend')&\n",
    "                                     (segs_na_df.Elec_distance_nexus>edges_dend[e])&\n",
    "                                     (segs_na_df.Elec_distance_nexus<=edges_dend[e+1])]['na_lower_bound'].values.astype(int)\n",
    "    \n",
    "                x2, _ = np.histogram(na_inds/10,bins=np.arange(np.floor(i)-20,np.floor(i)+20,1))\n",
    "                na_dend[e] += x2\n",
    "                \n",
    "                na_inds = segs_na_df[(~pd.isnull(segs_na_df.na_lower_bound))&\n",
    "                                     (segs_na_df.Type=='apic')&\n",
    "                                     (segs_na_df.Elec_distance_nexus>edges_apic[e])&\n",
    "                                     (segs_na_df.Elec_distance_nexus<=edges_apic[e+1])]['na_lower_bound'].values.astype(int)\n",
    "    \n",
    "                x2, _ = np.histogram(na_inds/10,bins=np.arange(np.floor(i)-20,np.floor(i)+20,1))\n",
    "                na_apic[e] += x2\n",
    "            \n",
    "            actual_spktimes.append(i)\n",
    "        c = i\n",
    "    return na_dend, na_apic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_dend, na_apic = get_sta_calcium(segs_na_df, ca_spktimes_nodupes)\n",
    "rand_spktimes = np.sort(np.random.choice(np.arange(0,150000), ca_spktimes_nodupes.shape[0]))\n",
    "na_dend_rand, na_apic_rand = get_sta_calcium(segs_na_df, rand_spktimes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.subplot(2,1,1)\n",
    "plt.title('Na spikes - apical')\n",
    "x = (na_apic-na_apic_rand)/ca_spktimes_nodupes.shape[0]\n",
    "plt.imshow(x,cmap='jet',vmin=0,vmax=4)\n",
    "plt.xticks(ticks=np.arange(0,40,5)-0.5,labels=['{}'.format(i) for i in np.arange(-20,20,5)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.colorbar(label='additional events per Ca2+ spike')\n",
    "plt.xlabel('time (ms)')\n",
    "plt.xlim(5,35)\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "plt.title('Na spikes - basal')\n",
    "x = (na_dend-na_dend_rand)/ca_spktimes_nodupes.shape[0]\n",
    "plt.imshow(x,cmap='jet',vmin=0,vmax=4)\n",
    "plt.xticks(ticks=np.arange(0,40,5)-0.5,labels=['{}'.format(i) for i in np.arange(-20,20,5)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.colorbar(label='additional events per Ca2+ spike')\n",
    "plt.xlim(5,35)\n",
    "\n",
    "plt.xlabel('time (ms)')\n",
    "plt.savefig('naspikes.svg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "nmda_apic = np.zeros((10,27,))\n",
    "mean_nmda = np.zeros((1,1400))\n",
    "nmda_traces = []\n",
    "\n",
    "nmda_inds = segs_nmda_df[(segs_nmda_df.mag<-0.1)&\n",
    "                             (segs_nmda_df.Type=='apic')]['nmda_lower_bound'].values.astype(int)\n",
    "\n",
    "for i in np.random.choice(ca_spktimes[ca_spktimes>100], 100):\n",
    "    x2, _ = np.histogram(nmda_inds/10,bins=np.arange(np.floor(i)-100,np.floor(i)+40,5))\n",
    "    nmda_apic[0,:] += x2\n",
    "    # mean of i_nmda across all apical segments that had an nmda spike in this window\n",
    "    segs_of_interest = segs_nmda_df[(segs_nmda_df.mag<-0.1)&\n",
    "                                    (segs_nmda_df['Coord Y']>800)&\n",
    "                                    (segs_nmda_df['Coord Y']<900)&\n",
    "                                    (segs_nmda_df.Type=='apic')&\n",
    "                                    (segs_nmda_df.nmda_lower_bound>int(np.floor(i)-100)*10)&\n",
    "                                    (segs_nmda_df.nmda_lower_bound<int(np.floor(i)+40)*10)]['segmentID'].values\n",
    "    nmda_traces.append(nmda['report']['biophysical']['data'][int(np.floor(i)-100)*10:int(np.floor(i)+40)*10,\n",
    "                                                                    np.unique(np.sort(segs_of_interest))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff2bdc52d30>]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "T = []\n",
    "for i in np.arange(0,len(nmda_traces)):\n",
    "    #plt.plot(nmda_traces[i][:,0],color='k',alpha=0.2)\n",
    "    T.append(nmda_traces[i][:,0])\n",
    "plt.plot(np.mean(np.array(T),axis=0),color='r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-20-5729f1e7529b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnmda_dend\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnmda_apic\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_nmda_sta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs_nmda_df\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mca_spktimes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mrand_spktimes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchoice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m150000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mca_spktimes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mnmda_dend_rand\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnmda_apic_rand\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_nmda_sta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs_nmda_df\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrand_spktimes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-9-a9f4b703aae6>\u001b[0m in \u001b[0;36mget_nmda_sta\u001b[0;34m(segs_nmda_df, spktimes)\u001b[0m\n\u001b[1;32m     24\u001b[0m                 nmda_inds = segs_nmda_df[(segs_nmda_df.mag<-0.1)&\n\u001b[1;32m     25\u001b[0m                                      \u001b[0;34m(\u001b[0m\u001b[0msegs_nmda_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mType\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'apic'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m&\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m                                      \u001b[0;34m(\u001b[0m\u001b[0msegs_nmda_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mElec_distance\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0medges_apic\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m&\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m                                      (segs_nmda_df.Elec_distance<=edges_apic[e+1])]['nmda_lower_bound'].values.astype(int)\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/ops/common.py\u001b[0m in \u001b[0;36mnew_method\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m     62\u001b[0m         \u001b[0mother\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mitem_from_zerodim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     65\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnew_method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/ops/__init__.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    524\u001b[0m         \u001b[0mrvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextract_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextract_numpy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    525\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 526\u001b[0;31m         \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcomparison_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    527\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    528\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_construct_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mres_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/ops/array_ops.py\u001b[0m in \u001b[0;36mcomparison_op\u001b[0;34m(left, right, op)\u001b[0m\n\u001b[1;32m    245\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mis_object_dtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 247\u001b[0;31m         \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcomp_method_OBJECT_ARRAY\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    248\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    249\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/pandas/core/ops/array_ops.py\u001b[0m in \u001b[0;36mcomp_method_OBJECT_ARRAY\u001b[0;34m(op, x, y)\u001b[0m\n\u001b[1;32m     55\u001b[0m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvec_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     56\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 57\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscalar_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     58\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     59\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "nmda_dend, nmda_apic = get_nmda_sta(segs_nmda_df, ca_spktimes)\n",
    "rand_spktimes = np.sort(np.random.choice(np.arange(0,150000), ca_spktimes.shape[0]))\n",
    "nmda_dend_rand, nmda_apic_rand = get_nmda_sta(segs_nmda_df, rand_spktimes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SBtuIT5MNXaVk3yTvAn4JfAn4FrDHXGKZDEmSpMHGKBlK8qYkPwPeTG+eob2A31TV8VV17VxijkkPoCRJGmsbuftrgKOAnwD/DJxcVWuSTDcf0dBMhiRJ0mAdPFq/Ae4KPBZ4GvDOJKfRe7x+Wd97zUYyPpcmSZLG0xglQ1W1DvgK8JUkm9GbrXoL4NdJvlZVTx815phcmiRJGltjlAz1q6o1wOeAzyXZBnjSXOKM4aVJkqSxMz5jhqZVVTcAx8/lWJMhSZI02Ji2DLXFR+slSdJgY/RoPUCSJUke2la8RZHn/fj6+/Lgf1s1XOG7dlCBm9oPue1Drmg95vXndHHxsHznG1qPufWKG1uPeSubtB4T4KYz79R+0NXth+S6DmJe3EFMgA91EPPnH5y9zIh+k79oPSbA9vWc1mPei5e0HvNGtm495m9+fefWYwJstnamF6DP3ZrVd2g9Jtdl9jIAv9un/XPPZoy6yarq9iT/BOzXRjxbhiRJ0mBj1jLUOCXJoWleb78hFkXLkCRJ6tB4jhn6W2BLYF2Sm+nVsqpqm1EDjd+lSZKk8TKGyVBVtdZPazeZJEmaVS0dftkYmrfVPyPJPzTruyR58FximQxJkqSBKrBu2fDLRvJ+egOop2acvgl431wCjVmjlyRJGjvZqEnOsPatqr2T/BCgqq5NMqfHhsfv0iRJ0lipwNqlo3Qm3d5ZXfrclmQpUABJ7jTXE5sMSZKkgSph3bJRUoZbO6tLn3cDXwDukuRNwJOB18wlkMmQJEma1bqlYzTrIlBVJyQ5E3h0s+mQqrpwLrEcQC1JkgYqwjqWDr0MI8lHklyV5Py+bdslOTXJz5o/Z5vmewt6c2MvATaf6/WZDEmSpIGKsJalQy9D+hhwwHrbXgl8rap2A77WrE8ryWvpvaV+O2B74KNJ7CaTJEndWNdyylBV30yycr3NBwOPbD4fD5wOvGKGEE8D9qqqNQBJ3gKcBfyfUetiMiRJkgaa6ibbCO5SVZcDVNXlSQa9ufdiYDNgTbO+KfDfczmpyZAkSRpoDsnQ9klW9a0fV1XHtVytW4ALkpxK7/H6PwO+neTdAFV19LCBTIYkSdKsRkyGVlfVPnM4zZVJdmhahXYArhpQ9gvNMuX0OZwPMBmSJEmzuJ0l3MKmG+NUXwKeBbyl+fOkmQpW1fFtndRkSJIkzartMUNJPklvsPT2SS4FXkcvCfpMkucAvwIOa/WkMzAZkiRJA3UxgLqqnjbDrkfPsL0zJkOSJGmgglHmD9rokiwBtqqqG+ZyvJMuSpKkWYR1LBt62Sg1Sj6RZJskWwI/An6S5O/mEmtxtAxdBDxjyLKbdXD+DmJev+yu7Qft6G/7tq22aT3mNcvaj8na9kN2Fnd1BzG7qOd1HcQEWHN1B0G36yDmeR3EhBc96EPtB10ze5GRdfGdclMHMYE1Kzr4op7Pe3pxB+ceYCPOMzSK+1TVDUkOB/6d3uSMZwJvHTXQ4kiGJElSp8YwGVqeZDlwCPDeqrotyZwCmQxJkqSBxrRl6P/SayM7B/hmkrsD188lkMmQJEkaaOpFrWPmy1X17qmVJL8Cnj2XQA6gliRJsxq3AdTAif0rVVXAp+YSyJYhSZI00Dh1kyXZA7gvsG2Sv+jbtQ1zfKTJZEiSJA00TskQcG/gCcAK4Il9228EnjeXgCZDkiRpVuMyZqiqTgJOSrJfVX23jZgmQ5IkaaBqJl0cMz9P8mpgJX35TFWNPIh67K5MkiSNlzHrJptyEvAt4D+BdRsSyGRIkiTNagyToS2q6hVtBPLRekmSNNDUPEPDLhvJyUkObCOQLUOSJGmgMR0zdAzw6iS3ArcCoTfd0Mgvtxy7K5MkSeNn3LrJqmrrtmKZDEmSpIHGcQB1em9lPRy4R1W9MckuwA5V9f1RYzlmSJIkDTSVDA27bCTvB/YDnt6s3wS8by6BbBmSJEmzGpdJF/vsW1V7J/khQFVdm2STuQQyGZIkSQON6QDq25IsBQogyZ2A2+cSaOyuTJIkjZdxHDMEvBv4AnDnJG8Cngy8Zi6BTIYkSdKsxi0ZqqoTkpwJPJreY/WHVNWFc4llMiRJkgaamnSxTUleAjyXXjfXecBfVtWaEY5/F/DpqprToOl+iyMZWldw3W1DFu7iktNBzGGvZxTLO4iphaM6iLm2g5gAV3YQ8486iNnRv6lVN3QQtLUpWfp08d23kHTxb2o872nbY4aS7AQcDdynqm5O8hngqcDHRghzFvCaJLvT6y77dFWtmkt9fLRekiTNqoNH65cBmydZBmwBXDZKfarq+Ko6EHgw8FPg2CQ/GyVGf0UkSZJmVIRbmdNT69PHq/p1krcBvwJuBk6pqlPmGG5XYA9gJfCjuQSwZUiSJA00hxe1bp9kVd9yVH+8JHcADgbuAewIbJnkGaPUKclUS9AbgPOBB1bVE+dyfbYMSZKkgeYwZmh1Ve0zYP9jgIuq6jcAST4PPBT41xHOcRGwX1WtHqVi07FlSJIkzarlMUO/Ah6SZIvmHWOPBkZ9LP444IAkrwVIcrckDx4xBmAyJEmSZtH2u8mq6gzgc/SeCDuPXj5y3IjVeh+9d5M9rVm/Ed9NJkmSutDFPENV9TrgdRsQwneTSZKkjcd3k0mSpInlu8kkSdJEG8dkyHeTSZKkjWrckiGAqvox8OMNjWMyJEmSBupiAPU4MRmSJEkDtf2i1nGzeK9MkiS1Zhy7ydpiMiRJkgYapwHUSW6keZx+/V1AVdU2o8Y0GZIkSQON05ihqtq67ZgmQ5IkaVbjOmYoyZ2BzabWq+pXo8YYzyuTJEljY5y6yaYkOQj4J2BH4Crg7vRe9nrfUWP5olZJkjRQ2y9qbckbgYcAP62qe9CbfPG/5hLIZEiSJM1qLUuHXjaS26rqamBJkiVVdRqw51wC2U0mSZIGGtN5hq5LshXwTeCEJFcBa+cSaOyubG7WAtcMWXbzLivSohs6iLm8g5gArQ/sZ/i/z1Hs1EFMmOO/vVl08fffhZvnuwIjuKqDmNt1EBO6+fu/uoOYW3QQs6vv6C5+3XXxb3/Yes7p5exzNo5jhoCDgTXAS4DDgW2BN8wl0CJJhiRJUpfGLRmqqt/2rR6/IbFMhiRJ0kDj2DKU5C+AY4E705tw0UkXJUlSNwrGZtLFPv8IPLGqLtzQQCZDkiRpFmM5gPrKNhIhMBmSJEmzGMduMmBVkk8DXwRumdpYVZ8fNZDJkCRJmtUYJkPbAL8DHtu3rQCTIUmS1K7bWcItbDrf1fgDVfWXbcVyBmpJkjSrtl/HkWRFks8l+XGSC5PsN0p9kuyc5AtJrkpyZZITk+w8l2szGZIkSQN19G6ydwFfrao9gAfQe8nqKD4KfInei1p3Ar7cbBuZ3WSSJGmgIqy7vb0xQ0m2Af4UOBKgqm4Fbh0xzJ2qqj/5+ViSF8+lPrYMSZKkwQrWrl069AJsn2RV33LUehHvCfwG+GiSHyb5UJItR6zV6iTPSLK0WZ7BHN87Y8uQJEkaqCqsWztSyrC6qvYZsH8ZsDfwoqo6I8m7gFcC/zDCOZ4NvBd4B72nyL7TbBuZyZAkSRqolwy1+mj9pcClVXVGs/45esnQCHWqXwEHtVEZkyFJkjRY0WoyVFVXJLkkyb2r6ifAo4EfDXNskpdX1T8meU+vZv8j9tGj1sdkSJIkDVQV1t7W+qSLLwJOSLIJ8Atg2HmDpp46W9VWRUyGJEnSLMLt69pNGarqbGDQuKKZjvty8/F3VfXZ/n1JDptLXXyaTJIkDVbA2qXDLxvHq4bcNitbhiRJ0mCVjZnkDJTk8cCBwE5J3t23axtg7VximgxJkqTBClib+a7FlMvojRc6CDizb/uNwEvmEtBkSJIkzW5ObS7tq6pzgHOSnFBVrdRqkSRD6xh+0sltOjj/8g5i3tBBzC7qCXBbBzFvXiAxoZtviGs6iNnFP/eu7ulVHcTs4t9UVxbK31UXMTfvICZ08/3XRcxhv083cmZSG/+UM0nymap6CvDDJNM9Wn//UWMukmRIkiR1ZoySIeCY5s8ntBXQZEiSJA1WdNMJMAdVdXnz5y/bimkyJEmSBit6I1LGQJIbmWbm6SlVNfJ4GJMhSZI0uzHpJquqrQGSvAG4AvgXIMDhwNZziWkyJEmSBhuvMUNTHldV+/at/3OSM4B/HDWQM1BLkqTBppKhYZeNY12Sw5MsTbIkyeHMsTPPZEiSJA02nsnQ04GnAFc2y2HNtpHZTSZJkgYbw26yqroYOLiNWCZDkiRpdmOSDCV5D4OfJjt61Jh2k0mSpMGm5hkadunWKnrvJNsM2Bv4WbPsyRzHDNkyJEmSBhujeYaq6niAJEcCj6qq25r1DwCnzCWmyZAkSRpsDMcMATvSm1do6mWOWzXbRmYyJEmSBhvPZOgt9F7Welqz/gjg9XMJZDIkSZIGK2DNfFfiD1XVR5N8BZiaePGVVXXFXGKZDEmSpMHGs2UI4BbgcnqDqXdPsntVfXPUICZDkiRpsDFMhpI8FzgG2Bk4G3gI8F1g/1Fj+Wi9JEkabLwerZ9yDPAg4JdV9ShgL+A3cwlkMiRJkgaberR+2GVIzXvFfpjk5DnUak1VrWnibFpVPwbuPYc4dpNJkqQhdNNNdgxwIbDNHI69NMkK4IvAqUmuBS6bSyVMhiRJ0mAdjBlKsjPw58CbgL8duUpVT2o+vr55vH5b4KtzqcsiSYZuppdYzpe5JLSzuWb2ImNjuw5idnH9P+8gJsDmHcS8uoOYXbh5viswgi7qemUHMQEu7iBmF1/3yzuI2ZXFdv2/27inGz0Z2j7Jqr7146rquPXKvBN4Ob2JEzdIVX1jQ45fJMmQJEnqzNQA6uGtrqp9ZtqZ5AnAVVV1ZpJHbljlNpzJkCRJGqz9d5M9DDgoyYH05gjaJsm/VtUzWj3LkHyaTJIkzW7tCMssqupVVbVzVa0Engp8fb4SIbBlSJIkzWYMJ11sk8mQJEkabPQxQ8OHrjodOL2b6MMxGZIkSYO1P2ZorJgMSZKkwewmkyRJE89kSJIkTawOxwyNA5MhSZI0mGOGJEnSRHPMkCRJmmgmQ5IkaaI5ZkiSJE08xwxJkqSJZTeZJEmaaCZDkiRpojlmSJIkTTTnGZIkSRPPbjJJkjSxHDMkSZIm2u3AmvmuRHcWSTK0BvjxPJ6/i9u4kFLwzTuIeUMHMbfpIGZXFvFIxaF08fM/6fd0oVjeUdxF8uvu9zZyZmLLkCRJmngmQ5IkaWL5aL0kSZpoPlovSZIm2iIfM7RkvisgSZLG3FQyNOwyiyS7JDktyYVJLkhyTEc1H4otQ5IkabD2xwytBV5aVWcl2Ro4M8mpVfWjVs8ypFaSoSSvB26qqre1EU+SJI2ZFscMVdXlwOXN5xuTXAjsBCzcZKhLSZZV1SLuqZQkaQGobsImWQnsBZzRzRlmN6cxQ0mOSHJuknOS/Mt6+/ZM8r1m/xeS3KHZfnSSHzXbP9Vs2zLJR5L8IMkPkxzcbD8yyWeTfBk4ZQOvUZIkbVzbJ1nVtxw1XaEkWwEnAi+uqi5m2x3KyC1DSe4L/D3wsKpanWQ74Oi+Ih8HXlRV30jyBuB1wIuBVwL3qKpbkqxoyv498PWqenaz7ftJ/rPZtx9w/6q6Zm6XJkmS5snqqtpnUIEky+klQidU1ec3TrWmN5eWof2Bz1XVaoD+ZCXJtsCKqvpGs+l44E+bz+cCJyR5Bv9/rPljgVcmORs4HdgMuFuz79RBiVCSo6YyTvjtHC5DkiTNhyQBPgxcWFVvn+/6zCUZCnPrOfxz4H3AA+mNGl/WxDq0qvZslrtV1YVN+YEZTlUdV1X79DLPLedQHUmSNJypx8mGXWb1MOCZwP5Jzm6WAzuo+FDmkgx9DXhKkjsCNN1kAFTV9cC1SR7ebHom8I0kS4Bdquo04OXACmAr4D+AFzUZIkn2mvOVSJKkjrQ70VBVfbuqUlX372sQ+feuaj+bkccMVdUFSd5EL8lZB/wQuLivyLOADyTZAvgF8JfAUuBfm260AO+oquuSvBF4J3BukxBdDDxhA65HkiS1bnG/nCxVHT0rtxElOxW8YB5r0MUMBQtpNoHNO4jZxUMF23QQsyuL90tnOF38/E/6PV0oltg8+bYAACAASURBVHcUd+xnkhnRe6i6NBvrbMmeBV8f4Yg7njnbAOpxsth+OiRJUusWd8uQyZAkSZqFyZAkSZp4C2n4xmhMhiRJ0ixsGZIkSRNt6tH6xWmRJEOXrYbX/HK+azGPtgdWz3clFhnvafu8p+3znrZvodzTu2/c09kyNPaq6k7zXYf5lGTVQnqEcSHwnrbPe9o+72n7vKczsWVIkiRNNFuGJEnSRLNlSOPvuPmuwCLkPW2f97R93tP2eU+ntbhbhhbF6zgkSVJ3kt0L3j/CEX/m6zgkSdJiUsDN812JzpgMSZKkWSzubrIl810BjS7JI5OcneSCJN/o235Akp8k+XmSV85nHReiJA9Ksi7Jk/u2PSvJz5rlWfNZv4UkyeFJzm2W7yR5QN8+f043kPdwwyXZJclpSS5svkuPabZvl+TU5t/8qUnuMN91HQ9TydCwy8JiMrTAJFlBr+P2oKq6L3BYs30p8D7g8cB9gKcluc+8VXSBae7fscB/9G3bDngdsC/wYOB1fjEO7SLgEVV1f+CNNINS/TndcN7D1qwFXlpVfwQ8BPib5j6+EvhaVe0GfK1Z1++fJht2WVhMhhaepwOfr6pfAVTVVc32BwM/r6pfVNWtwKeAg+epjgvRi4ATgav6tj0OOLWqrqmqa4FTgQPmo3ILTVV9p7lnAN8Ddm4++3O64byHLaiqy6vqrObzjcCFwE707uXxTbHjgUPmp4bjxpYhjZfdgTskOT3JmUmOaLbvBFzSV+7SZptmkWQn4EnAB9bb5T1tx3OArzSfvacbznvYsiQrgb2AM4C7VNXl0EuYgDvPX83GyeJuGXIA9cKzDHgg8Ghgc+C7Sb4HZJqyzpswnHcCr6iqdckf3Ebv6QZK8ih6ydCfTG2appj3dDTewxYl2Ypeq/CLq+qG9b4D9HuLewC1ydACkORvgOc1q58BvlpVvwV+m+SbwAPo/e9wl77DdgYu26gVXUDWu6fbAp9qvgS3Bw5MspbePX1k32E7A6dvvFouLOvd0wPp3csPAY+vqqub7f6cbjjvYUuSLKeXCJ1QVZ9vNl+ZZIequjzJDvxh1/kEW9wzUDvp4gKT5I+A99Ibz7IJ8H3gqcCPgZ/SazH6NfAD4OlVdcE8VXVBSvIx4OSq+lwzgPpMYO9m91nAA6vqmvmq30KR5G7A14Ejquo7fduX4c/pBvEetiO9//0cD1xTVS/u2/5W4OqqekvzpN52VfXy+arnuEh2KXjJCEe81EkX1Z2qujDJV4FzgduBD1XV+QBJXkjvaailwEf8ctwwVXVNkjfS+2UD8AYToaG9Frgj8P6mxW1tVe1TVWv9Od0w3sPWPAx4JnBekrObba8G3gJ8JslzgF/RPLErW4YkSdIES3YqeMEIR7zGliFJkrSY2DIkSZImWDM8Y/sRDlldVQtmXjaTIUmSNNGcdFGSJE00kyFJkjTRTIakRSzJiiQv6FvfMcnnOjrXIUle20KctyXZv406SdIwHDMkLWLNO5dOrqr7bYRzfQc4qKpWb2CcuwMfrKrHtlMzSRrMliFpcXsLcK8kZyd5a5KVSaYm6TwyyReTfDnJRUlemORvk/wwyfeaGbhJcq8kX21eDPytJHusf5IkuwO3TCVCST6W5J+TnJbkF0kekeQjSS5sZvkmydKm3PlJzkvyEoCq+iVwxyR33Ti3SNKkc54haXF7JXC/qtoTft9S1O9+9N7WvRnwc3ovrN0ryTuAI+i9xPY44PlV9bMk+wLvB9bvxnoYvdeV9LtDU+4g4MtNmecCP0iyJ73Zk3eaarVKsqLv2LOa8ifO7bIlaXgmQ9JkO62qbgRuTHI9vaQF4Dzg/s0bvR8KfLbvbd6bThNnB+A36237clVVkvOAK6vqPIAkFwArgW8A90zyHuDfgFP6jr0K2HFDL06ShmEyJE22W/o+3963fju974clwHVTLUsD3AxsO0Ps/ri/j11V1yZ5AL2XDv8N8BTg2U2ZzZqYktQ5xwxJi9uNwNZzPbiqbgAuSnIY9N703SQw67sQ2HWU2Em2B5ZU1YnAPwB79+3eHTh/brWWpNGYDEmLWFVdDfxXM0j5rXMMczjwnCTnABcAB09T5pvAXunrSxvCTsDpzRvDPwa8CiDJcnqJ1ao51leSRuKj9ZJakeRd9MYJ/ecGxnkSsHdV/UM7NZOkwWwZktSWNwNbtBBnGfBPLcSRpKHYMiRJkiaaLUOSJGmimQxJkqSJZjIkSZImmsmQJEmaaCZDkiRpopkMSZKkiWYyJEmSJprJkCRJmmgmQ5IkaaKZDEmSpIlmMiRJkiaayZAkSZpoJkOSJGmimQxJkqSJZjIkSZImmsmQJEmaaCZDkiRpopkMSZKkiWYyJEmSJprJkCRJmmgmQ5IkaaKZDEmSpIlmMiRJkiaayZAkSZpoJkOSJGmimQxJkqSJZjIkSZImmsmQJEmaaCZDkiRpopkMSZKkiWYyJEmSJprJkCRJmmgmQ5IkaaKZDEmSpIm2bL4rIEmSxtuuSf1uhPKXw39U1QGdVahlJkOSJGmgm4G/GaH8a2D7rurSBbvJJA2U5PAkp/StV5Jd57E+K5s6bLT/zM3HOaVxEmD5CMvQcZOlSX6Y5ORp9m2a5NNJfp7kjCQrN+wqZmYyJLUkycVJrkyyZd+25yY5vW+9mjLL+rYtS3JVkurbdnqSNUluTHJDkjOTvDLJptOc98gm7lO6uK6qOqGqHttFbEkLQ+h1JQ27jOAY4MIZ9j0HuLaqdgXeARw7es2HYzIktWsZvX/cg1wHPL5v/UDg2mnKvbCqtgZ2AF4KPBX49yRZr9yzgGuaPyWpdV20DCXZGfhz4EMzFDkYOL75/Dng0dN8/7XCZEhq11uBlyVZMaDMvwBH9K0fAXx8psJV9duqOh04CNiP3pcHAEnuDjwCOAp4XJK7zBQnya5JvpHk+iSrk3y6b18lOTrJL5p9b02ypNl3ZJJvzxDzT5JckuRRzfoeSU5Nck2Sn/S3ViU5MMmPmtauXyd52YB7NIxnJ7ksyeVJXtp3ngcn+W6S65p9702ySbMvSd7RtMRdn+TcJPdr9v1501x/Q3NNr9/A+kmLRkctQ+8EXg7cPsP+nYBLAKpqLXA9cMc5VH9WJkNSu1YBpwODftF/EfjTJCuapOnhwEmzBa6qXzXxH963+QhgVVWdSK+p+fABId4InALcAdgZeM96+58E7APsTe9/ZM8eVJ8kjwM+CRxaVac13YOnAp8A7gw8DXh/kvs2h3wY+Kumtet+wNcHXvDsHgXsBjwWeGWSxzTb1wEvoTeAcz/g0cALmn2PBf4U2B1YAfwv4Opm32/p3c8V9BLOv05yyAbWUVoU5tAytH2SVX3LUX8QL3kCcFVVnTnLaddX02zbYCZDUvteC7woyZ1m2L8G+DK9X8RPBb7UbBvGZcB2fetH0Es+aP4c1FV2G3B3YMeqWlNV67f2HFtV1zRJ1zvpJTMzOQw4Djiwqr7fbHsCcHFVfbSq1lbVWcCJwJP7zn+fJNtU1bXN/g3xv5tWs/OAj07Vt6rOrKrvNXW4GPi/9FrPpuqwNbAHkKq6sKoub447varOq6rbq+pceoneI5A0l5ah1VW1T99y3HohHwYclORi4FPA/kn+db0ylwK7QG9sJbAtvSEBrTMZklpWVecDJwOvHFDs4/QSmYFdZNPYiebLIMnDgHvQ+yKBXjL0x0n2nOHYl9P7Tvt+kguSrN/yc0nf518COw6ox4uBzzSJyJS7A/s23VPXJbmOXkvVXZv9h9IbH/XLprtuv+kCN3W7qVkePl2ZQfVNsnuSk5NckeQG4M00j/lW1deB9wLvA65MclySbZrj9k1yWpLfJLkeeD4L7PFgqSttjxmqqldV1c5VtZLefwq/XlXPWK/Yl/j//8F7clPGliFpAXkd8Dx6yct0vkVvYPRdgGnH46wvyS7AA5tjofclEeDsJFcAZzTbj5jmcKrqiqp6XlXtCPwVvS6s/kfkd+n7fDd6rVAzOQw4JMmL+7ZdAnyjqlb0LVtV1V835/9BVR1Mrwvti8BnZqjnfZvjtqqqb01XZpb6/jPwY2C3qtoGeDV9ze1V9e6qeiBwX3rdZX/X7PoEvS/fXapqW+ADTN9ML02cDp8m+8PzJG9IclCz+mHgjkl+Dvwtg/+DuUFMhqQOVNXPgU8DR8+wv4AnAgfN9j+dJFskeQS9cUXfp/dE2WbAU+gNnN6zb3kRcHimmQ8nyWHN0xvQe3qt6I2vmfJ3Se7QJF3HNPWfyWX0xuIcnWRqPM7JwO5JnplkebM8KMkfJdkkvfmKtq2q24Ab1jv3XPxDc2/uC/xlX323buLflGQP4K+nDmjqs2+S5fTGCK3pq8fWwDVVtSbJg4Gnb2D9pEWjq3mG4Pdd1E9oPr+2qr7UfF5TVYdV1a5V9eCq+kU7V/M/mQxJ3XkDsOVMO6vqgqq6YMDx701yI3AlvTE8JwIHVNXtwCH0JoX9eNPic0VVXUHvf1JLgemmwX8QcEaSm+i1gBxTVRf17T8JOBM4G/i3JtaMmrFFjwZekeS5VXUjvQHKT6WXLF1Bb16QqbmRnglc3HRdPR9Yv0l8VN8Afg58DXhbVU1NDPkyeonMjcAH+cOkbptm27X0utauBt7W7HsB8Ibmnr+WGVqupEnUZTI0DtJR95ukBSS9CR93a1q0JOkP7JbUu0cofyCcWVX7dFahljm1vCRJGmiqZWixMhmSJEkDTQ2gXqwW87VJGlJV+dSUpBnZMiRJkiaaLUMLQLbavthu5XCFN+mgAl2MQe/i/+kLaaz8rR3E7OrZyS7idnH9C+VnHzr5ZspWG/ok//9U1yxtPSYAazuIuXkHMbv4nmr/r6lnoXynDvt98puLqRtWb7QWXVuGFoLtVsJLVw1XdmUH5+/ii6uLv5ku6tmVizuIuVUHMQE26yDmpR3E3Hn2IiPr6meqg3mfl/3JDa3HvO1T27QeE4DVHcTco4OYXfzsX9dBTFg436nD3tNXb9wHtWwZkiRJE82WIUmSNNFsGZIkSRPNliFJkjTRTIYkSdLEW8wJw6wP8SU5OsmFSU4YNmiSV/d9Xpnk/LlWUJIkza8Ay5cNvyw0w1T5BcDj13u79bSShN49ezXw5g2s21TMZVW1kB4KlyRpUUlg2ShJzgL7rT2wZSjJB4B7Al9Kcn2Sl/XtO79p9VnZtBy9HzgL+DCweZKz+1qTlib5YJILkpySZPMmxr2SfDXJmUm+lWSPZvvHkrw9yWnAsR1ctyRJGlICy5cOvyw0A/O8qnp+kgOARwEvHFD03sBfVtULAJIcVlV7Np9XArsBT6uq5yX5DHAo8K/AccDzq+pnSfYF3g/s38TcHXhMVXU1H6kkSRrCksDmo0yy+dvOqtKJtnr2fllV3xuw/6KqOrv5fCawMslWwEOBz/Z61wDYtO+Yzw5KhJIcBRwFwB3uNtd6S5Kk2QRYgC0+wxq1B7C/W60/R5wtB7yl7/M6em/JWQJcN9WCNI2BMavqOHotS+Ru+yykt25JkrSwLPJZF0d5xeTFwN4ASfYG7jGg7G1JBk5JUFU3ABclOayJmSQPGKE+kiRpY5hKhoZdFphRkqETge2SnA38NfDTAWWPA84d4nH8w4HnJDkHuAA4eIT6SJKkjWURJ0OzVrmqVvatPnaGYvdb75hXAK+Ybn9Vva3v80XAAdOc88jZ6iVJkjYSxwxJkqSJtsjHDC3iS5MkSa0wGZIkSRPPbjJJkjSxbBmSJEkTzWRo/O1w50v5q2NeMXtBYBcuaf38m3Br6zG34Hetx7yFTVqPCXA127cec2kHb/nrop4AK7iu9ZhXcufWY27Nja3H7OLfU1duZovWY674m/b/7gHOYN/WY3bxndLFz9RD+U7rMQHO449bj7m2g36je3DxUOWOfutPWj/3rOwmkyRJE8uWIUmSNNFMhiRJ0kQzGZIkSRNvEY8ZGuXdZJIkaRK1/KLWJJsl+X6Sc5JckOR/T1PmyCS/SXJ2szy3tetZjy1DkiRpsPa7yW4B9q+qm5IsB76d5CtV9b31yn26ql7Y6pmnYTIkSZIGa/lFrVVVwE3N6vJmqfbOMBq7ySRJ0mAtd5MBJFma5GzgKuDUqjpjmmKHJjk3yeeS7LKhlzETkyFJkjS70ZKh7ZOs6luOWj9cVa2rqj2BnYEHJ7nfekW+DKysqvsD/wkc38l1YTeZJEmazejdZKurap9hClbVdUlOBw4Azu/bfnVfsQ8Cx45UgxHYMiRJkgZr/2myOyVZ0XzeHHgM8OP1yuzQt3oQcOEGXsWMbBmSJEmDtf802Q7A8UmW0muY+UxVnZzkDcCqqvoScHSSg4C1wDXAka3WoI/JkCRJml2LGUNVnQvsNc321/Z9fhXwqvbOOjOTIUmSNFjLj9aPG5MhSZI0mO8mkyRJE81kSJIkTbQAm853JbpjMiRJkgazZUiSJE00kyFJkjTxfJpMkiRNLFuGxt8OZ1/Jq1f841Bll+/WQQVu6iBmF25ZQHG36SDmHTuICbBjBzEv6yDmRR3EfGwHMQFO6SDmPTqIeX0HMYG/uP4r7Qfds/2QXfzb/1EXf/fA8+53TvtB79Z+yJ/9+3DlNvpYZpMhSZI08ewmkyRJE8uWIUmSNNEWeTK0ZL4rIEmSxtzUu8mGXTZWtZLdkpyU5Pwkn0yy01zimAxJkqTBplqGhl02no8AJwOHAmcB75lLkEXc6CVJkloznhnD1lX1webzW5OcNZcg43lpkiRpfIzvmKHNkuxFr4YAm/evV9VQydF4XpokSRofU2OGxs/lwNv71q/oWy9g/2GCmAxJkqTBxrRlqKoeNdO+JMuHjeMAakmSNLvxHED9B9Kzf5IPAZcOe5zJkCRJGmxMH63/ffWSfZO8C/gl8CXgW8Aewx5vMiRJkgYb00frk7wpyc+ANwPnAXsBv6mq46vq2mHjjGEPoCRJGitjOmYIOAr4CfDPwMlVtSZJjRpkPC9NkiSNl/F8muyuwGOBpwHvTHIavcfrl1XV2mGDmAxJkqTBxrRlqKrWAV8BvpJkM+AJwBbAr5N8raqePkycMbw0SZI0VsY0GepXVWuAzwGfS7IN8KRhjx3zS5MkSfNuASRD/arqBuD4YcsvoEuTJEnzZjzHDLXCR+slSdJgY/poPUCSJUkeuiExTIYkSdJgY5wMVdXtwD9tSIxF0U2WHWH5K4YsfF4HFdi2g5h37CDmbzuICfC9DmK+tIOY/9VBTIAtO4h5VQcx9+kg5kEdxIRuvpm6uP6fdRAT4MoOYu7WQcwO/p7us2n7MQF4XAcxr24/5G67DFdu0xPbP/esxrub7JQkhwKfryrnGZIkSS0b/wHUf0vvv6brktxMr8ZVVdsMc/B4X5okSZp/S4DN5rsSM6uqrTfkeMcMSZKkWdXS4ZfZJNksyfeTnJPkgiT/e5oymyb5dJKfJzkjycoB8ZLkGUn+oVnfJcmDh702kyFJkjRQBdYtG34Zwi3A/lX1AGBP4IAkD1mvzHOAa6tqV+AdwLED4r0f2A+YmnH6JuB9w16f3WSSJGmwDJ3kDKUZ5HxTs7q8WdYf+Hww8Prm8+eA9ybJDAOk962qvZP8sIl/bZJNhq2PyZAkSRqoAmuXjtKZdPv2SVb1bTiuqo7rL5FkKXAmsCvwvqo6Y70gOwGXAFTV2iTX03vWevU0J7ytiVdN7DsBtw9bW5MhSZI0UCWsWzZKynDr6qoaOKFF85LVPZOsAL6Q5H5VdX5fkUx32Azh3g18AbhLkjcBTwZeM2xtTYYkSdKs1i3tZqKhqrouyenAAUB/MnQpsAtwaZJl9Gb1u2aGGCckORN4dLPpkKq6cNg6OIBakiQNVIR1LB16mU2SOzUtQiTZHHgM8OP1in0JeFbz+cnA12eZUHELelNDLgE2H+X6TIYkSdJARVjL0qGXIewAnJbkXOAHwKlVdXKSNySZmtv+w8Adk/yc3qSKr5wpWJLX0ntL/XbA9sBHk9hNJkmS2rOuxZShqs4F9ppm+2v7Pq8BDhsy5NOAvZpjSPIW4Czg/wxzsMmQJEkaaKqbbIxdTG+O7DXN+qbAfw97sMmQJEkaaAEkQ7cAFyQ5ld4TZ38GfDvJuwGq6uhBB5sMSZKkWY15MvSFZply+igHmwxJkqSBpgZQj6uqOn5DjjcZkiRJA/W6yRZvyrB4r0ySJLVmzLvJNojJkCRJGmgBDKD+vSRLgK2q6oZhj3HSRUmSNFBB25MutirJJ5Jsk2RL4EfAT5L83bDHmwxJkqRZ9MYMDbvMg/s0LUGHAP8O3A145rAHL4pusjWXwI9eOFzZad/wtoG26yBmF/X8kzt3EBQ48ar2Yx7aQcyLzm4/JnTzd3WXDmJe3EHMP/mvDoICH1zVfsznndd+zBs6+pl6+y3tx3xk+yE7+QWyvIOYAA/u4Gf11x384x825M3tn3qgBdBNtjzJcnrJ0Hur6rZkupfeT29RJEOSJKlbY54M/V96/+c7B/hmkrsD1w97sMmQJEkaaAG0DH25qt49tZLkV8Czhz3YMUOSJGmgDt5a37YT/6C+VQV8atiDbRmSJEmzGsdJF5PsAdwX2DbJX/Tt2obei1uHMn5XJkmSxsoYd5PdG3gCsAJ4Yt/2G4HnDRvEZEiSJA00rslQVZ0EnJRkv6r67lzjmAxJkqRZjfOLWoGfJ3k1sJK+3KaqhhpEbTIkSZIGup0l3Mqm812NQU4CvgX8J7Bu1INNhiRJ0qzGsZuszxZV9Yq5Huyj9ZIkaaAF8Gj9yUkOnOvBtgxJkqSBqnk32Rg7Bnh1kluBW4HQm25om2EOHusrkyRJ42Gcu8mqausNOd5kSJIkDTSuj9ZPSe+trIcD96iqNybZBdihqr4/zPGOGZIkSQNNJUPDLvPg/cB+wNOb9ZuA9w17sC1DkiRpVmM+z9C+VbV3kh8CVNW1STYZ9mCTIUmSNNACGEB9W5KlQAEkuRNw+7AHj/WVSZKk+TfuY4aAdwNfAO6c5E3Ak4HXDHuwyZAkSZrVOCdDVXVCkjOBR9N7rP6Qqrpw2ONNhiRJ0kBTky6OqyTvAj5dVUMPmu5nMiRJkgZaAGOGzgJek2R3et1ln66qVcMePNZXNrQHbsKSVTsMVXQZK1o//Z3479Zj7nb9Ta3HvGDbe7YeE+DQi37Resxz7rFb6zGv4w6txwS4laEfWBjazfyu9Zg7clnrMX9D+z+nAId0EPMkHtp6zC7uKcDfX39+6zHXdfBtf92W27Yec4t17f/sA6xe2v5LRm9lq9Zj3v+SK4Yqt/mft37qWY15N9nxwPFJtgMOBY5NcreqGuqXyeJIhiRJUmcWwADqKbsCewArgR8Ne5CTLkqSpFm1Oelikl2SnJbkwiQXJDlmmjKPTHJ9krOb5bUD4h2b5GfAG4DzgQdW1ROHvTZbhiRJ0kAdDKBeC7y0qs5KsjVwZpJTq2r91pxv/b/27j/a0qq+7/j7MzA6MTMwwEiEYYCUSqyxCmbiL9JGzYoitaBtdKFERE1tUyNi2ioxS8vS1dRqEjVSpdNEwZQVq4KskKpx0iBEEXVmHEAYEogKUnEmM/waxEGG+faP81w8Xu+c+9x7nzP3nHver7WeNec8z97fs8+eO5cv+9nP3lX14hbxvgU8u6p2zqcxjgxJkqSBpiZQtz1mjVd1V1VtaV7vBrYBaxfQxA3AqVOjR0mOTfKMtpVNhiRJ0qzmeJtsTZJNfcfr9xc3yfHAycBXZrj87CTXJ/lskp8f0Lz/Tm9vslc073fj3mSSJKkr85hAvbOq1s9WKMlK4DLgvKq6f9rlLcBxVfVAktOAK4D9PR22oL3JHBmSJEkDTc0Zanu0kWQ5vUTo0qq6/Cc+s+r+qnqgef0ZYHmSNfsJ595kkiRpuLpcdDFJgD8BtlXVH+6nzBOA7VVVzfyfZcCu/YR0bzJJkjQ8Q1hn6BTgVcCNSbY2594GHAtQVRfRS2h+M8le4AfAmVVVM7bPvckkSdIwdZ0MVdUX6SUtg8pcCFw4h5i3ALfMpz0mQ5IkaVZjsgL1vJgMSZKkgUZ91/qFMhmSJEkDjcGu9QuydL+ZJEnqzCjeJkuym+Zx+umXgKqqQ9rEMRmSJEkD7WMZD9F6DcMDpqpWdRHHZEiSJM1qHG6TJTkSWDH1vqruaFNv9L+ZJElaVENYZ6hTSU4H/gA4GtgBHEdv89dB+5k9yu04JEnSQFPJ0Bw2aj3Q3gU8C/i7qvpZeosvfqltZZMhSZI0q673JuvYw1W1C1iWZFlVXQWc1Layt8kkSdJAY/Bo/b1JVgLXAJcm2QHsbVt5pL+ZJElafKM+Zwg4A9gDvBk4CzgUeGfbyksiGfohj+HbHN+q7Gru7fzzV9/3QOcxf7ii+zuYj+GHnccEuP/Y5Z3H3MHPdB7zydzceUyAe1ndecyV7O485jAM42cf4N5DV3Yec1h//8MwjH//33nsus5jPum7t3cec8+hnYcEYNVDD3cec9fhR3Qe8+51K2YvBOx9zEOdf/ZsRjkZqqrv9729ZK71l0QyJEmShmfUR4aS/CvgvwFH0ltw0UUXJUlSdwpGfW+y9wD/sqq2zaeyyZAkSZrFyE+g3j7fRAhMhiRJ0ixG/TYZsCnJ/wauAB6dUFVVl7epbDIkSZJmNeLJ0CHAg8AL+s4VYDIkSZIWrshIzxmqqtcspL4rUEuSpIGmFl1sexxoSY5J8ukkO5JsT3JZkmPa1jcZkiRJsxrxvck+Cvw5vY1a1wJXNudaMRmSJEkDjcFGrY+vqo9W1d7muBh4fNvKzhmSJEkDFeGRfaM7ZwjYmeTXgT9r3r8C2NW2ssmQJEkarGDv3pFOhl4LXAi8j95TZNc251oxGZIkSQNVhUf2jm7KUFV3AKfPt/7ofjNJkjQSesnQ6I0MJXlLVb0nyQfpjQj9mKo6t00ckyFJkjRYMZLJEDC1BcemhQQxGZIkSQNVhb0Pj14yqBT3QwAADtpJREFUVFVXNi8frKpP9l9L8rK2cXy0XpIkzSLse+Tg1sci+J2W52bkyJAkSRqsgBG8TZbkRcBpwNokf9R36RBgb9s4JkOSJGmwykgmQ8B36c0XOh3Y3Hd+N/DmtkFMhiRJ0mAF7M1it+InVNX1wPVJLq2q1iNB05kMSZKk2c071RieJJ+oqpcDX08y06P1T20TZ0kkQ4fseYBTb7m6XeHHDqEBW7sPuXzrvs5jHv/bd3YeE2D5/+g+5q+e8sXugw7pH/LaI+7uPuiCHhKd2Z7Wz1W0N4y/e4DHv+CB7mPe0X1Mju4+JNDbYrJjTzrl9u6Dtt7soL0VX+o+JgD/tPuQTzppCH16R7tiB9/T/UcPtA/Y0124JOuAjwFPaKJvqKoPTCsT4AP05gQ9CJxTVVumhXpT8+eLF9KeJZEMSZKkISrg4U4j7gX+Q1VtSbIK2JxkY1Xd3FfmRcATm+OZwIebP3/UrKq7mj8XlJmaDEmSpMEKeKTDcL0kZiqR2Z1kG7AW6E+GzgA+VlUFXJdkdZKjphIggCS7mWHl6b7POaRNe0yGJEnS7OY21WBNkv4b/huqasNMBZMcD5wMfGXapbXAd/re39mcezQZqqpVTYx3At8D/hQIcBawqm1jTYYkSdJgxVyToZ1VtX62QklWApcB51XV/dMv76clM3lhVfXfQvtwkq8A72nTWFegliRJg00lQ22PFpIsp5cIXVpVl89Q5E5gXd/7Y+itKzSTR5KcleSgJMuSnMUcbuyZDEmSpME6ToaaJ8X+BNhWVX+4n2J/DpydnmcB9/XPF5rmlcDLge3N8bLmXCveJpMkSYPN/TbZbE4BXgXcmGRqgZq3AccCVNVFwGfoPVZ/G71H61+z3+ZVfZvehOt5MRmSJEmz6zAZqqovMvOcoP4yBbxhUJkkH2Tw02TntmmPt8kkSdJgU+sMtT0OnE309iRbATwduLU5TmIOc4YcGZIkSYN1vM5QV6rqEoAk5wDPq6qHm/cXAZ9vG8dkSJIkDdb9nKGuHU1vXaGp/ZFWMocNc0yGJEnSYKOfDL2b3matVzXvfxm4oG1lkyFJkjTYiCdDVfXRJJ/lR3uXnV9V32tb32RIkiTNboSTocZD9LbqWAGcmOTEqrqmTUWTIUmSNNiIjwwl+Q3gTfRWqd4KPAv4MvD8NvV9tF6SJA02hO04OvYm4BeB26vqefQ2fv2HtpUdGZIkSYNNrTM0uvZU1Z4kJHlsVd2S5OfaVjYZkiRJg43oOkN97kyyGrgC2JjkHva/qetPMBmSJEmzG+E5Q1X10ublBc3j9YcCn2tb32RIkiQNNuITqPtV1dVzrZPePmjj7afX/1w9ZdOGVmWPaj9q1trNPLnzmM/h2s5j3svqzmMC7GZV5zEP497OYz7I4zqPCbCdIzuP+WS2dR7z7zmh85hP5ubOYwJcy3M6j3kEuzqPedCQ7husYvdQ4nZtHd/pPOaOIfx7AjiBv+885qd5SecxT2br7IWAjesv4O5N3xq40WmXctT64jWb2lf4r9lcVeuH16JuOTIkSZIGG/0J1AtiMiRJkgYb/QnUC2IyJEmSZjcmc4bmw2RIkiQNNkYTqOfDZEiSJA3mnCFJkjTRnDMkSZImWgF7FrsRw2MyJEmSBvM2mSRJmmjeJpMkSRPNp8kkSdJEMxmSJEkTzTlDkiRp4jlnSJIkTSxvk0mSpIlmMiRJkiaac4YkSdJEc50hSZI08ZbwbbJli90ASZI04qbmDLU9WkjykSQ7knxjP9efm+S+JFub4x0L/h774ciQJEkabDhzhi4GLgQ+NqDM31TVizv/5GlMhiRJ0mBDmDNUVdckOb7bqPOzJJKhBzfv5av5XsvS64bQgts7j3jrUP5qHhhCTBjOrLpjhhBz1xBiAmzvPOIWntp5TLi/84hf5qTOY/bcMISY3X9/OHwIMQF+aggxDxlCzKOGEHP3EGICPHEIMW/rPOKtHNay5EGdf/ZAi/do/bOTXA98F/iPVXXTMD5kSSRDkiRpyOaWDK1Jsqnv/Yaq2jDHT9wCHFdVDyQ5DbiC4WS1JkOSJGkWc58ztLOq1i/oI6vu73v9mSQfSrKmqnYuJO5MTIYkSdJgi7DOUJInANurqpI8g94T8EOZ72AyJEmSBhvCnKEkfwY8l94ttTuB/wwsB6iqi4BfA34zyV7gB8CZVVXdtqLHZEiSJA02hGSoql4xy/UL6T16P3QmQ5IkaTD3JptdkguAB6rq97uIJ0mSRox7ky2eJAdX1RLeEUWSpDEwlNk6o2Fee5MlOTvJDUmuT/Kn066dlOS65vqnkxzWnD83yc3N+Y8353662Zvka0m+nuSM5vw5ST6Z5Erg8wv8jpIkSfs155GhJD8P/C5wSlXtTHI4cG5fkY8Bb6yqq5O8k97s8POA84GfraqHkqxuyv4u8NdV9drm3FeT/FVz7dnAU6vq7v204/XA63vv1sz1a0iSJAHzGxl6PvCpqUWP+pOVJIcCq6vq6ubUJcA/b17fAFya5Nf50Zz0FwDnJ9kKfAFYARzbXNu4v0So+dwNVbW+t6jTMJaZlyRJk2A+c4bC/O4c/gt6idHpwNubEaYA/7qq/vbHPiB5JvD9eXyGJEnq3D56S/0sTfMZGfq/wMuTHAHQ3CYDoKruA+5J8s+aU68Crk6yDFhXVVcBbwFWAyuBvwTemCRNrJPn/U0kSdKQTD1b3/YYL3MeGaqqm5L8F3pJziPA14Fv9xV5NXBRkscB3wReQ2973f/V3EYL8L6qujfJu4D3Azc0CdG3gRcv4PtIkqTOLd629QfCvB6tr6pL6M0HmunaVuBZM1z6pRnK/gD4tzOcvxi4eD5tkyRJXVvaqy6O/DpDkiRpsZkMSZKkiedtMkmSNLEcGZIkSRPNCdSSJGmiOTI0Br65E868fbFbsYjWADsXuxFLjH3aPfu0e/Zp98alT487sB/nyNDIq6rHL3YbFlOSTb1tSdQV+7R79mn37NPu2af748iQJEmaaI4MSZKkiebIkEbfhsVuwBJkn3bPPu2efdo9+3RGS3tkKFXz2YBekiRNiuSJBX80hxqnbR6nuVeODEmSpBaW7sjQssVugOYuyXOTbE1yU5Kr+86fmuRvk9yW5PzFbOM4SvKLSR5J8mt9516d5NbmePVitm+cJDkryQ3NcW2Sp/Vd8+d0gezDhUuyLslVSbY1v0vf1Jw/PMnG5t/8xiSHLXZbR8PUnKG2x3jxNtmYSbIauBY4taruSHJkVe1IchDwd8CvAncCXwNeUVU3L2Jzx0bTfxuBPcBHqupTSQ4HNgHr6f0m2Az8QlXds3gtHQ9JngNsq6p7krwIuKCqnunP6cLZh91IchRwVFVtSbKK3r/vlwDnAHdX1bubRPOwqnrrIjZ1JCQnFPzeHGqcOVa3yRwZGj+vBC6vqjsAqmpHc/4ZwG1V9c2q+iHwceCMRWrjOHojcBmwo+/cC4GNVXV3kwBtBE5djMaNm6q6ti9pvA44pnntz+nC2YcdqKq7qmpL83o3sA1YS68vL2mKXUIvQdKjE6jbHuPFZGj8nAgcluQLSTYnObs5vxb4Tl+5O5tzmkWStcBLgYumXbJPu/E64LPNa/t04ezDjiU5HjgZ+ArwM1V1F/QSJuDIxWvZKFnat8mcQD1+DgZ+AfgV4KeALye5DsgMZb0H2s77gbdW1SPJj3WjfbpASZ5HLxn6palTMxSzT+fGPuxQkpX0RoXPq6r7p/0O0KOW9qP1JkNjIMkbgH/TvP0E8Lmq+j7w/STXAE+j93+H6/qqHQN894A2dIxM69NDgY83vwTXAKcl2UuvT5/bV+0Y4AsHrpXjZVqfnkavL/8YeFFV7WrO+3O6cPZhR5Isp5cIXVpVlzentyc5qqruauYV7dh/hEmytBdddAL1mEnyT4AL6c1neQzwVeBM4BZ6kyp/Bfh/9CZVvrKqblqkpo6lJBcDf9E3gXoz8PTm8hZ6E6jvXqz2jYskxwJ/DZxdVdf2nT8Yf04XxD7sRnr/93MJvcnS5/Wdfy+wq28C9eFV9ZbFaueoSI4t+E9zqHHuWE2gdmRozFTVtiSfA24A9gF/XFXfAEjyW8BfAgfReyLKX44LUFV3J3kXvf/YALzTRKi1dwBHAB9qRtz2VtX6qtrrz+nC2IedOQV4FXBjkq3NubcB7wY+keR1wB3AyxapfSPGkSFJkjTBkmMKzp1Djbc6MiRJkpYSR4YkSdIEa6ZnrJlDlZ1VNTbrspkMSZKkieaii5IkaaKZDEmSpIlmMiRJkiaayZC0hCVZneTf970/OsmnhvRZL0nyjg7i/H6S53fRJklqwwnU0hLWbED5F1X1lAPwWdcCp1fVzgXGOQ74n1X1gm5aJkmDOTIkLW3vBk5IsjXJe5Mcn2RqxfJzklyR5Mok30ryW0l+O8nXk1zXbEdCkhOSfC7J5iR/k+RJ0z8kyYnAQ1OJUJKLk3w4yVVJvpnkl5N8JMm2ZssTkhzUlPtGkhuTvBmgqm4HjkjyhAPTRZImnYsuSkvb+cBTquokeHSkqN9TgJOBFcBtwFur6uQk7wPOBt4PbAD+XVXdmuSZwIeA6bexTqG3d1u/w5pypwNXNmV+A/hakpPobSWxdmrUKsnqvrpbmvKXze9rS1J7JkPSZLuqqnYDu5PcRy9pAbgReGqSlcBzgE82e4wBPHaGOEcB/zDt3JVVVUluBLZX1Y0ASW4CjgeuBv5Rkg8C/wf4fF/dHcDRC/1yktSGyZA02R7qe72v7/0+er8flgH3To0sDfAD4ND9xO6P+2jsqronydOAFwJvAF4OvLYps6KJKUlD55whaWnbDayab+Wquh/4VpKXAaTnaTMU3Qb847nETrIGWFZVlwFvB57ed/lE4Bvza7UkzY3JkLSEVdUu4EvNJOX3zjPMWcDrklwP3AScMUOZa4CT03cvrYW1wBeSbAUuBn4HIMlyeonVpnm2V5LmxEfrJXUiyQfozRP6qwXGeSnw9Kp6ezctk6TBHBmS1JXfAx7XQZyDgT/oII4kteLIkCRJmmiODEmSpIlmMiRJkiaayZAkSZpoJkOSJGmimQxJkqSJ9v8BYnEPVg4XcPYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.subplot(2,1,1)\n",
    "plt.title('NMDA spikes - apical')\n",
    "plt.imshow((nmda_apic-nmda_apic_rand)/len(spktimes),cmap='jet')\n",
    "plt.xticks(ticks=np.arange(0,26,4),labels=['{}'.format(i) for i in np.arange(-100,40,20)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.colorbar(label='additional events per AP')\n",
    "plt.xlabel('time (ms)')\n",
    "plt.xlim(5,26)\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "plt.title('NMDA spikes - basal')\n",
    "plt.imshow((nmda_dend-nmda_dend_rand)/len(spktimes),cmap='jet')\n",
    "plt.xticks(ticks=np.arange(0,26,4),labels=['{}'.format(i) for i in np.arange(-100,40,20)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.colorbar(label='additional events per AP')\n",
    "plt.xlim(5,26)\n",
    "\n",
    "plt.xlabel('time (ms)')\n",
    "plt.savefig('nmdaspikes.svg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'segs_conns' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-20-e7a964ab2c3e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mapic_exc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msegs_conns\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs_conns\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Source Population'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'exc_stim'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m&\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs_conns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mType\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'apic'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'segmentID'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Conductance'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreset_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mbasal_exc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msegs_conns\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs_conns\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Source Population'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'exc_stim'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m&\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs_conns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mType\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'dend'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'segmentID'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Conductance'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreset_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'segs_conns' is not defined"
     ]
    }
   ],
   "source": [
    "apic_exc = segs_conns[(segs_conns['Source Population']=='exc_stim')&(segs_conns.Type=='apic')].groupby('segmentID')['Conductance'].sum().reset_index()\n",
    "\n",
    "basal_exc = segs_conns[(segs_conns['Source Population']=='exc_stim')&(segs_conns.Type=='dend')].groupby('segmentID')['Conductance'].sum().reset_index()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-10-65a7cec637c0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msegs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mType\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'dend'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m|\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msegs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mType\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'apic'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mlegit_uc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvoltage_criterion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'report'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'biophysical'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'data'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m10000\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mv_thresh\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m40\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtime_thresh\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m260\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0mlegit_dc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvoltage_criterion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'report'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'biophysical'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'data'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m10000\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mv_thresh\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m40\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtime_thresh\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m260\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mh5py/_objects.pyx\u001b[0m in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mh5py/_objects.pyx\u001b[0m in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/lib/python3.6/site-packages/h5py/_hl/dataset.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, args)\u001b[0m\n\u001b[1;32m    571\u001b[0m         \u001b[0mmspace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mh5s\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate_simple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    572\u001b[0m         \u001b[0mfspace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mselection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 573\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmspace\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfspace\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdxpl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dxpl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    574\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    575\u001b[0m         \u001b[0;31m# Patch up the output for NumPy\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "nmda_df = pd.DataFrame(columns=['segmentID','nmda_lower_bound', 'nmda_upper_bound', 'mag'])\n",
    "for p in segs[(segs.Type=='dend')|(segs.Type=='apic')].index:\n",
    "    print(p)\n",
    "    legit_uc = voltage_criterion(data=v['report']['biophysical']['data'][:-10000,p],v_thresh=-40, time_thresh=260)[1]\n",
    "    legit_dc = voltage_criterion(data=v['report']['biophysical']['data'][:-10000,p],v_thresh=-40, time_thresh=260)[-1]\n",
    "    \n",
    "    legit_uc_iso = legit_uc\n",
    "    \n",
    "    legit_dc_iso = legit_dc\n",
    "    \n",
    "    \n",
    "    if (len(legit_uc_iso)!=0) & (np.min(nmda['report']['biophysical']['data'][:,p])!=0):\n",
    "        bnds, sum_curr = current_criterion(legit_uc_iso=legit_uc_iso, \n",
    "                                           legit_dc_iso=legit_dc_iso, \n",
    "                                           p=p, \n",
    "                                           control_inmda=nmda['report']['biophysical']['data'])\n",
    "        nmda_df = nmda_df.append(pd.DataFrame({'segmentID':np.tile(p,len(bnds)),\n",
    "                                               'nmda_lower_bound':np.array(bnds).reshape(-1,2)[:,0],\n",
    "                                               'nmda_upper_bound':np.array(bnds).reshape(-1,2)[:,1],\n",
    "                                               'mag':sum_curr}))\n",
    "    \n",
    "    else:\n",
    "        nmda_df = nmda_df.append(pd.DataFrame({'segmentID':np.tile(p,1),\n",
    "                                               'nmda_lower_bound':np.nan,\n",
    "                                               'nmda_upper_bound':np.nan,\n",
    "                                               'mag':np.nan}))\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#nmda_df.to_csv('64Hz_soma_inh_nmda_df.csv')\n",
    "nmda_df = pd.read_csv('nmda_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "nmda_df.rename(columns={'seg_id':'segmentID'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "segs_nmda_df = segs.set_index('segmentID').join(nmda_df.set_index('segmentID')).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_nmda_sta(segs_nmda_df, spktimes):    \n",
    "    nmda_dend = np.zeros((10,27,))\n",
    "    nmda_apic = np.zeros((10,27,))\n",
    "    \n",
    "    edges_dend=np.quantile(segs_nmda_df[(segs_nmda_df.mag<-0.1)&\n",
    "                                   (segs_nmda_df.Type=='dend')]['Elec_distance'].unique(),np.arange(0,1.1,0.1))\n",
    "    edges_apic=np.quantile(segs_nmda_df[(segs_nmda_df.mag<-0.1)&\n",
    "                                   (segs_nmda_df.Type=='apic')]['Elec_distance'].unique(),np.arange(0,1.1,0.1))\n",
    "    \n",
    "    actual_spktimes = []\n",
    "    c = 0\n",
    "    for i in np.sort(spktimes):\n",
    "        # excludes bursts\n",
    "        if i-c > 10:\n",
    "            for e in np.arange(0,10):\n",
    "                nmda_inds = segs_nmda_df[(segs_nmda_df.mag<-0.1)&\n",
    "                                     (segs_nmda_df.Type=='dend')&\n",
    "                                     (segs_nmda_df.Elec_distance>edges_dend[e])&\n",
    "                                     (segs_nmda_df.Elec_distance<=edges_dend[e+1])]['nmda_lower_bound'].values.astype(int)\n",
    "    \n",
    "                x2, _ = np.histogram(nmda_inds/10,bins=np.arange(np.floor(i)-100,np.floor(i)+40,5))\n",
    "                nmda_dend[e] += x2\n",
    "                \n",
    "                nmda_inds = segs_nmda_df[(segs_nmda_df.mag<-0.1)&\n",
    "                                     (segs_nmda_df.Type=='apic')&\n",
    "                                     (segs_nmda_df.Elec_distance>edges_apic[e])&\n",
    "                                     (segs_nmda_df.Elec_distance<=edges_apic[e+1])]['nmda_lower_bound'].values.astype(int)\n",
    "    \n",
    "                x2, _ = np.histogram(nmda_inds/10,bins=np.arange(np.floor(i)-100,np.floor(i)+40,5))\n",
    "                nmda_apic[e] += x2\n",
    "            \n",
    "            actual_spktimes.append(i)\n",
    "        c = i\n",
    "        \n",
    "    return nmda_dend, nmda_apic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "nmda_dend, nmda_apic = get_nmda_sta(segs_nmda_df, spktimes)\n",
    "rand_spktimes = np.sort(np.random.choice(np.arange(0,150000), spktimes.shape[0]))\n",
    "nmda_dend_rand, nmda_apic_rand = get_nmda_sta(segs_nmda_df, rand_spktimes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.subplot(2,1,1)\n",
    "plt.title('NMDA spikes - apical')\n",
    "plt.imshow((nmda_apic-nmda_apic_rand)/len(spktimes),cmap='jet',vmin=-0.7,vmax=0.7)\n",
    "plt.xticks(ticks=np.arange(0,26,4),labels=['{}'.format(i) for i in np.arange(-100,40,20)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.colorbar(label='additional events per AP')\n",
    "plt.xlabel('time (ms)')\n",
    "plt.xlim(5,26)\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "plt.title('NMDA spikes - basal')\n",
    "plt.imshow((nmda_dend-nmda_dend_rand)/len(spktimes),cmap='jet', vmin=-0.7, vmax=0.7)\n",
    "plt.xticks(ticks=np.arange(0,26,4),labels=['{}'.format(i) for i in np.arange(-100,40,20)])\n",
    "plt.yticks(ticks=[0,9],labels=['further','closer'])\n",
    "plt.colorbar(label='additional events per AP')\n",
    "plt.xlim(5,26)\n",
    "\n",
    "plt.xlabel('time (ms)')\n",
    "plt.savefig('nmdaspikes.svg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in np.arange(0,10):\n",
    "    plt.plot(np.arange(-100,95,5),nmda_dend[i]/np.sum(nmda_dend[i]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 573,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dist_inh_stim    5\n",
       "Name: Source Population, dtype: int64"
      ]
     },
     "execution_count": 573,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "segs_conns[(segs_conns['Sec ID']==80) & (segs_conns.Type=='dend')]['Source Population'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 579,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-150, 150)"
      ]
     },
     "execution_count": 579,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "ind = 55\n",
    "plt.plot(segs['Coord X'], segs['Coord Y'], 'b.')\n",
    "plt.plot(segs.loc[0,'Coord X'], segs.loc[0,'Coord Y'], 'k.',markersize=20)\n",
    "\n",
    "plt.plot(segs.loc[ind,'Coord X'], segs.loc[ind,'Coord Y'], 'r*',markersize=20)\n",
    "\n",
    "for i in segs_conns[(segs_conns.Type=='dend')&(segs_conns['Sec ID']==2)]['Sec ID'].unique():\n",
    "    plt.plot(segs[(segs['Sec ID']==i)&(segs['Type']=='dend')]['Coord X'],\n",
    "             segs[(segs['Sec ID']==i)&(segs['Type']=='dend')]['Coord Y'],color='r')\n",
    "    \n",
    "#for i in segs_conns[(segs_conns.Type=='dend')&(segs_conns['Sec ID']==7)]['Sec ID'].unique():\n",
    "#    plt.plot(segs[(segs['Sec ID']==i)&(segs['Type']=='dend')]['Coord X'],\n",
    "#             segs[(segs['Sec ID']==i)&(segs['Type']=='dend')]['Coord Y'],color='c')\n",
    "    \n",
    "#plt.plot(segs[segs.segmentID==119]['Coord X'], segs[segs.segmentID==119]['Coord Y'],'r*',markersize=14)\n",
    "#plt.plot(segs[segs.segmentID==110]['Coord X'], segs[segs.segmentID==110]['Coord Y'],'r*',markersize=14)\n",
    "#plt.plot(segs[segs.segmentID==103]['Coord X'], segs[segs.segmentID==103]['Coord Y'],'r*',markersize=14)\n",
    "\n",
    "#plt.plot(segs[segs.segmentID==134]['Coord X'], segs[segs.segmentID==134]['Coord Y'],'c*',markersize=14)\n",
    "plt.ylim(-25,50)\n",
    "plt.xlim(-150,150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 548,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(526419, 527519)"
      ]
     },
     "execution_count": 548,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.plot(f['report']['biophysical']['data'][:,119],color='b')\n",
    "plt.plot(f['report']['biophysical']['data'][:,110],color='b',alpha=0.5)\n",
    "plt.plot(f['report']['biophysical']['data'][:,104],color='b',alpha=0.1)\n",
    "\n",
    "plt.plot(f['report']['biophysical']['data'][:,134],color='c',alpha=1)\n",
    "plt.plot(f['report']['biophysical']['data'][:,0],'k')\n",
    "plt.twinx()\n",
    "plt.plot(h['report']['biophysical']['data'][:,119],color='r')\n",
    "plt.plot(h['report']['biophysical']['data'][:,110],color='r',alpha=0.5)\n",
    "plt.plot(h['report']['biophysical']['data'][:,103],color='r',alpha=0.1)\n",
    "\n",
    "plt.xlim(526519-100,526519+1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 503,
   "metadata": {},
   "outputs": [],
   "source": [
    "nmda2 = np.zeros((79,))\n",
    "\n",
    "for i in spktimes:\n",
    "    nmda_inds2 = np.sort(segs_nmda_df[(segs_nmda_df.Degrees<=3)&\n",
    "             (~pd.isnull(segs_nmda_df.nmda_lower_bound))&\n",
    "             (segs_nmda_df.mag<-0.1)&\n",
    "                (segs_nmda_df.Type=='dend')]['nmda_lower_bound'].values.astype(int))\n",
    "\n",
    "    x2, _ = np.histogram(nmda_inds2/10,bins=np.arange(i-40,i+40,1))\n",
    "    nmda2 += x2\n",
    "    \n",
    "    #na_inds3 = segs_na_df[(segs_na_df.Degrees==3)&(~pd.isnull(segs_na_df.na_lower_bound))]['na_lower_bound'].values.astype(int)\n",
    "    #x3, _ = np.histogram(na_inds3/10,bins=np.arange(i-20,i+20,1))\n",
    "    #na3 += x3\n",
    "    \n",
    "    #na_inds4 = segs_na_df[(segs_na_df.Degrees==4)&(~pd.isnull(segs_na_df.na_lower_bound))]['na_lower_bound'].values.astype(int)\n",
    "    #x4, _ = np.histogram(na_inds4/10,bins=np.arange(i-20,i+20,1))\n",
    "    #na4 += x4\n",
    "    \n",
    "    #na_inds5 = segs_na_df[(segs_na_df.Degrees==5)&(~pd.isnull(segs_na_df.na_lower_bound))]['na_lower_bound'].values.astype(int)\n",
    "    #x5, _ = np.histogram(na_inds5/10,bins=np.arange(i-20,i+20,1))\n",
    "    #na5 += x5\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 504,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fe805e4dd68>]"
      ]
     },
     "execution_count": 504,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(nmda2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'current (nA)')"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "font = {'family' : 'normal',\n",
    "        'weight' : 'normal',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "ind = 1139\n",
    "plt.figure(figsize=(12,10))\n",
    "plt.plot(np.arange(0,60000,.1),f['report']['biophysical']['data'][:,ind],color='b',label='dend voltage')\n",
    "plt.plot(np.arange(0,60000,.1),f['report']['biophysical']['data'][:,0],color='k',alpha=0.3,label='soma voltage')\n",
    "plt.legend(loc='lower left')\n",
    "plt.hlines(-40,0,60000,linestyle='dashed')\n",
    "plt.ylabel('voltage (mV)')\n",
    "plt.ylim(-85,25)\n",
    "plt.xlabel('time (ms)')\n",
    "plt.twinx()\n",
    "plt.plot(np.arange(0,60000,.1),h['report']['biophysical']['data'][:,ind],color='r',label='inmda dend')\n",
    "plt.legend(loc='upper right')\n",
    "plt.plot(np.arange(0,60000,.1)[nmda_df[nmda_df.seg_id==ind]['nmda_lower_bound'].values.astype(int)],\n",
    "         h['report']['biophysical']['data'][nmda_df[nmda_df.seg_id==ind]['nmda_lower_bound'].values.astype(int),ind],'m*',markersize=20)\n",
    "plt.plot(np.arange(0,60000,.1)[nmda_df[nmda_df.seg_id==ind]['nmda_upper_bound'].values.astype(int)],\n",
    "         h['report']['biophysical']['data'][nmda_df[nmda_df.seg_id==ind]['nmda_upper_bound'].values.astype(int),ind],'k*',markersize=20)\n",
    "plt.ylim(-0.009,0.001)\n",
    "plt.xlim(37000,39000)\n",
    "plt.ylabel('current (nA)')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'current (nA)')"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "font = {'family' : 'normal',\n",
    "        'weight' : 'normal',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "plt.figure(figsize=(12,10))\n",
    "plt.plot(np.arange(0,60000,.1),f['report']['biophysical']['data'][:,175],color='b',label='dend voltage')\n",
    "plt.plot(np.arange(0,60000,.1),f['report']['biophysical']['data'][:,0],color='k',alpha=0.3,label='soma voltage')\n",
    "plt.legend(loc='lower left')\n",
    "plt.hlines(-40,0,60000,linestyle='dashed')\n",
    "plt.ylabel('voltage (mV)')\n",
    "plt.ylim(-85,25)\n",
    "plt.xlabel('time (ms)')\n",
    "plt.twinx()\n",
    "plt.plot(np.arange(0,60000,.1),h['report']['biophysical']['data'][:,175],color='r',label='inmda dend')\n",
    "plt.legend(loc='upper right')\n",
    "plt.plot(np.arange(0,60000,.1)[nmda_df[nmda_df.seg_id==175]['nmda_lower_bound'].values.astype(int)],\n",
    "         h['report']['biophysical']['data'][nmda_df[nmda_df.seg_id==175]['nmda_lower_bound'].values.astype(int),175],'m*',markersize=20)\n",
    "plt.plot(np.arange(0,60000,.1)[nmda_df[nmda_df.seg_id==175]['nmda_upper_bound'].values.astype(int)],\n",
    "         h['report']['biophysical']['data'][nmda_df[nmda_df.seg_id==175]['nmda_upper_bound'].values.astype(int),175],'k*',markersize=20)\n",
    "plt.xlim(32000,32400)\n",
    "plt.ylim(-0.009,0.001)\n",
    "plt.ylabel('current (nA)')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "nmda_spktimes = nmda_df[nmda_df.mag<-0.1]['nmda_lower_bound']/10\n",
    "n = np.zeros((12,))\n",
    "for i in spktimes:\n",
    "    x,y = np.histogram(nmda_spktimes[(nmda_spktimes>i-30) & (nmda_spktimes<i+30)]-i,bins=np.arange(-30,31,5))\n",
    "    n+=x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13,)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.arange(-30,31,5).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb1c9e08cf8>]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.arange(-30,30,5),n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_spktimes = na_df[~pd.isnull(na_df.na_lower_bound)]['na_lower_bound']/10\n",
    "na = np.zeros((20,))\n",
    "for i in spktimes:\n",
    "    x,y = np.histogram(na_spktimes[(na_spktimes>i-10) & (na_spktimes<i+10)]-i,bins=np.arange(-10,11,1))\n",
    "    na+=x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb1eb9c46a0>]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(na_df[~pd.isnull(na_df.na_lower_bound)]['na_lower_bound']/10,\n",
    "         na_df[~pd.isnull(na_df.na_lower_bound)]['seg_id'],'*')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'nmda_df' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-17-78bf83782a38>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnmda_spktimes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnmda_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnmda_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmag\u001b[0m\u001b[0;34m<\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m0.1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'nmda_lower_bound'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mspktimes\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistogram\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnmda_spktimes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnmda_spktimes\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m&\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnmda_spktimes\u001b[0m\u001b[0;34m<\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mbins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m50\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m51\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mn\u001b[0m\u001b[0;34m+=\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'nmda_df' is not defined"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'n' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-16-508d729ee55c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m50\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m50\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'n' is not defined"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f9af0878278>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(nmda_spktimes,np.random.randint(low=0,high=100,size=len(nmda_spktimes)),'.')\n",
    "plt.plot(spktimes,np.tile(40,len(spktimes)),'r*')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "metadata": {},
   "outputs": [],
   "source": [
    "x1,_=np.histogram(spktimes,bins=np.arange(0,10000,100))\n",
    "x2,_=np.histogram(nmda_spktimes,bins=np.arange(0,10000,100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6000, 7000)"
      ]
     },
     "execution_count": 350,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "plt.plot(np.arange(0,10000,.1),control_v[:,176],color='b')\n",
    "plt.plot(np.arange(0,10000,.1)[nmda_df.loc[nmda_df.seg_id==175,'nmda_lower_bound'].values.astype(int)],control_v[nmda_df.loc[nmda_df.seg_id==175,'nmda_lower_bound'].values.astype(int),176],'m*')\n",
    "plt.plot(np.arange(0,10000,.1),control_v[:,0],color='k')\n",
    "plt.xlim(6000,7000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ind1 = 3 sent to Drew\n",
    "ind1 = 2\n",
    "e1 = control_inmda[legit_uc_iso[ind1], p]\n",
    "e2 = control_inmda[legit_dc_iso[ind1], p]\n",
    "x30 = np.argwhere(np.diff(control_inmda[legit_uc_iso[ind1]:legit_dc_iso[ind1], p] < 1.3*e1, prepend=False))\n",
    "x15 = np.argwhere(np.diff(control_inmda[legit_uc_iso[ind1]:legit_dc_iso[ind1], p] < 1.15*e1, prepend=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "font = {'family' : 'normal',\n",
    "        'weight' : 'normal',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "plt.figure(figsize=(12,10))\n",
    "plt.plot(np.arange(0,(legit_dc_iso[ind1]-legit_uc_iso[ind1])/10, 0.1),\n",
    "         control_inmda[legit_uc_iso[ind1]:legit_dc_iso[ind1], p],color='r',label='inmda @ dend.')\n",
    "plt.hlines(1.3*e1,0,np.max(np.arange(0,(legit_dc_iso[ind1]-legit_uc_iso[ind1])/10, 0.1)),color='r',alpha=0.2)\n",
    "plt.hlines(1.15*e1,0,np.max(np.arange(0,(legit_dc_iso[ind1]-legit_uc_iso[ind1])/10, 0.1)),color='r',alpha=0.2)\n",
    "plt.ylabel('current (nA)')\n",
    "plt.ylim(-0.010,0)\n",
    "plt.legend(loc='upper center')\n",
    "plt.xlabel('time (ms)')\n",
    "plt.twinx()\n",
    "plt.plot(np.arange(0,(legit_dc_iso[ind1]-legit_uc_iso[ind1])/10, 0.1),\n",
    "         control_v[legit_uc_iso[ind1]:legit_dc_iso[ind1],p],color='b',label='dend. volt.')\n",
    "plt.plot(np.arange(0,(legit_dc_iso[ind1]-legit_uc_iso[ind1])/10, 0.1),\n",
    "         control_v[legit_uc_iso[ind1]:legit_dc_iso[ind1],0], color='k',label='soma volt.')\n",
    "\n",
    "\n",
    "for i in np.arange(0,len(bounds)):\n",
    "    plt.fill_between(np.array([bounds[i][0]/10,bounds[i][1]/10]).reshape(2,),-70,20,color='k',alpha=0.2)\n",
    "    plt.text(bounds[i][0]/10,-20-(i*10),'{x:.2f}'.format(x=sum_current[i]))\n",
    "##plt.fill_between(np.array([bounds[1][0]/10,bounds[1][1]/10]).reshape(2,),-70,20,color='k',alpha=0.2)\n",
    "##plt.fill_between(np.array([bounds[2][0]/10,bounds[2][1]/10]).reshape(2,),-70,20,color='k',alpha=0.2)\n",
    "#plt.hlines(-40,0,np.max(np.arange(0,(legit_uc_iso[ind1+1]-legit_uc_iso[ind1])/10, 0.1)),linestyle='dashed')\n",
    "##plt.text(1.5,14,'NMDA\\nspike')\n",
    "#plt.ylabel('voltage (mV)')\n",
    "#plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '[  842  1647  2619  3554  4403  4838  5367  6259  6906  7343  9697 12390\\n 12773 13771 14890 15884 17077 18595 19939 22066 23737 24284 25413 26597\\n 27044 28429 30164 30801 31385 32087 32916 33723 35481 36024 37321 38402\\n 39508 39990 41964 42943 43622 44147 45706 46043 46602 47522 48410 48800\\n 49997 50965 51281 52498 53049 53683 54313 56634 57005 57875 59693 62229\\n 63190 64370 64795 66494 68097 68880 69584 70642 71213 72545 73268 74657\\n 75841 77213 79503 80633 81032 82026 82994 84010 85540 86223 87097 88434\\n 91288 93667 94914 95493 96901 98894 99324]')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,10))\n",
    "plt.plot(np.arange(0,10000,.1),control_v[:,p],label='control dend. v')\n",
    "plt.plot(np.arange(0,10000,.1),NMDAblock_v[:,p],label='NMDA block dend. v')\n",
    "plt.plot(np.arange(0,10000,.1),control_v[:,0],color='k',label='control soma v')\n",
    "\n",
    "uc = voltage_criterion(control_v[:,p],-40)[0]\n",
    "\n",
    "\n",
    "plt.plot(np.arange(0,10000,.1)[uc],control_v[uc,p],'*')\n",
    "plt.plot(np.arange(0,10000,.1)[legit_uc],control_v[legit_uc,p],'m*')\n",
    "\n",
    "\n",
    "center = np.floor(legit_uc[np.random.choice(np.arange(0,legit_uc.shape[0]))]/10)\n",
    "\n",
    "plt.plot([center,center+26],[-80,-80],color='k')\n",
    "plt.legend(loc='lower left')\n",
    "\n",
    "plt.twinx()\n",
    "plt.plot(np.arange(0,10000,.1),control_inmda[:,p],color='r',label='NMDA current')\n",
    "plt.plot(np.arange(0,10000,.1)[legit_uc],control_inmda[legit_uc, p],'*')\n",
    "#plt.plot(np.arange(0,10000,.1),control_gna[:,p],color='r',alpha=0.2, label='gNa')\n",
    "plt.xlim(center-100,center+100)\n",
    "\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('{}'.format(legit_uc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-65, 0)"
      ]
     },
     "execution_count": 332,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = np.random.choice(segs[segs.Type=='apic'].index)\n",
    "for i in spktimes:\n",
    "    plt.plot(np.arange(0,20,.1), control_v[int(i*10)-100:int(i*10)+100,p])\n",
    "plt.vlines(10,-65,0,color='k')\n",
    "plt.ylim(-65,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7ff1d5e2bb70>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = 829#np.random.choice(segs[segs.Type=='dend'].index)\n",
    "plt.title('dend {}'.format(p))\n",
    "plt.plot(control_v[7200:7700,p],label='dend')\n",
    "plt.plot(control_v[7200:7700,0],label='soma')\n",
    "plt.hlines(-40,0,500)\n",
    "plt.twinx()\n",
    "plt.plot(control_inmda[7200:7700,p],color='r')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-64.93669985517535"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "control_v[10000,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([574., 247., 275., 347., 151., 246., 123., 100., 155., 308.]),\n",
       " array([-68.29374117, -61.6818314 , -55.06992164, -48.45801187,\n",
       "        -41.8461021 , -35.23419233, -28.62228256, -22.01037279,\n",
       "        -15.39846303,  -8.78655326,  -2.17464349]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(control_v[10000,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff2c61f8b00>]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(control_v[:,1200])\n",
    "plt.plot(NMDAblock_v[:,1200])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = ids_pos.set_index(['BMTK ID', 'X']).join(segs.set_index(['BMTK ID', 'X'])).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(nan, -65.0773572393917)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[0,'Distance'], np.mean(f['report']['biophysical']['data'],axis=0)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BMTK ID</th>\n",
       "      <th>X</th>\n",
       "      <th>Type</th>\n",
       "      <th>Sec ID</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Coord X</th>\n",
       "      <th>Coord Y</th>\n",
       "      <th>Coord Z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [BMTK ID, X, Type, Sec ID, Distance, Coord X, Coord Y, Coord Z]\n",
       "Index: []"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df.Distance>900) & (df.Distance<1000)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1740, 1760)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(np.arange(0,df.shape[0]), np.mean(f['report']['biophysical']['data'],axis=0))\n",
    "plt.xlim(1740,1760)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'mean potential of segment (mV)')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.scatter(df['Distance'],np.mean(f['report']['biophysical']['data'],axis=0),alpha=0.2)\n",
    "plt.scatter(df.loc[0,'Distance'], np.mean(f['report']['biophysical']['data'],axis=0)[0],color='r', marker='*', s=75)\n",
    "plt.scatter(df.loc[1452,'Distance'], np.mean(f['report']['biophysical']['data'],axis=0)[1452],color='m',marker='*', s=75)\n",
    "plt.scatter(df.loc[1754,'Distance'], np.mean(f['report']['biophysical']['data'],axis=0)[1754],color='k',marker='*', s=75)\n",
    "plt.xlabel('distance from soma')\n",
    "plt.ylabel('mean potential of segment (mV)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'membrane potential (mV)')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.scatter(np.arange(0,f['report']['biophysical']['data'].shape[1]),np.mean(f['report']['biophysical']['data'],axis=0))\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "\n",
    "plt.plot(np.arange(0,2,0.0001),f['report']['biophysical']['data'][:,0],color='r')\n",
    "plt.plot(np.arange(0,2,0.0001),f['report']['biophysical']['data'][:,1452],color='m')\n",
    "plt.plot(np.arange(0,2,0.0001),f['report']['biophysical']['data'][:,1754],color='k')\n",
    "plt.xlim(1.75,2)\n",
    "plt.xlabel('time (s)')\n",
    "plt.ylabel('membrane potential (mV)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
