{ "cells": [ { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "import h5py\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "\n", "\n", "segs = pd.read_csv('Segments.csv')\n", "\n", "f = h5py.File('output/v_report.h5', 'r')\n", "\n", "eids = f['report']['biophysical']['mapping']['element_ids'][:]\n", "pos = f['report']['biophysical']['mapping']['element_pos'][:]\n", "data = f['report']['biophysical']['data']" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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4121260.500000apic1210.508410L5PCtemplate[0].apic[41](0.5)
4131270.166667apic1221.336495L5PCtemplate[0].apic[42](0.166667)
4141270.500000apic1236.259644L5PCtemplate[0].apic[42](0.5)
4151270.833333apic1251.182792L5PCtemplate[0].apic[42](0.833333)
4161280.500000apic1226.094266L5PCtemplate[0].apic[43](0.5)
4171290.100000apic1215.559519L5PCtemplate[0].apic[44](0.1)
4181290.300000apic1232.394757L5PCtemplate[0].apic[44](0.3)
4191290.500000apic1249.229996L5PCtemplate[0].apic[44](0.5)
4201290.700000apic1266.065234L5PCtemplate[0].apic[44](0.7)
4211290.900000apic1282.900473L5PCtemplate[0].apic[44](0.9)
4931480.388889apic1210.998250L5PCtemplate[0].apic[63](0.388889)
4941480.500000apic1229.383692L5PCtemplate[0].apic[63](0.5)
4951480.611111apic1247.769135L5PCtemplate[0].apic[63](0.611111)
4961480.722222apic1266.154577L5PCtemplate[0].apic[63](0.722222)
4971480.833333apic1284.540019L5PCtemplate[0].apic[63](0.833333)
4981480.944444apic1302.925462L5PCtemplate[0].apic[63](0.944444)
5021490.700000apic1217.553742L5PCtemplate[0].apic[64](0.7)
5031490.900000apic1237.812182L5PCtemplate[0].apic[64](0.9)
5041500.500000apic1256.127140L5PCtemplate[0].apic[65](0.5)
5051510.500000apic1260.990831L5PCtemplate[0].apic[66](0.5)
5101520.500000apic1203.354992L5PCtemplate[0].apic[67](0.5)
5111520.611111apic1224.773616L5PCtemplate[0].apic[67](0.611111)
5121520.722222apic1246.192240L5PCtemplate[0].apic[67](0.722222)
5131520.833333apic1267.610864L5PCtemplate[0].apic[67](0.833333)
5141520.944444apic1289.029489L5PCtemplate[0].apic[67](0.944444)
5291550.833333apic1213.635064L5PCtemplate[0].apic[70](0.833333)
5311560.500000apic1202.723808L5PCtemplate[0].apic[71](0.5)
5321560.833333apic1221.971211L5PCtemplate[0].apic[71](0.833333)
5331570.500000apic1249.288290L5PCtemplate[0].apic[72](0.5)
5341580.166667apic1243.120032L5PCtemplate[0].apic[73](0.166667)
5351580.500000apic1266.170271L5PCtemplate[0].apic[73](0.5)
5361580.833333apic1289.220510L5PCtemplate[0].apic[73](0.833333)
5441610.500000apic1210.160482L5PCtemplate[0].apic[76](0.5)
5451610.642857apic1229.724764L5PCtemplate[0].apic[76](0.642857)
5461610.785714apic1249.289047L5PCtemplate[0].apic[76](0.785714)
5471610.928571apic1268.853330L5PCtemplate[0].apic[76](0.928571)
5511620.500000apic1211.893228L5PCtemplate[0].apic[77](0.5)
5521620.642857apic1231.952581L5PCtemplate[0].apic[77](0.642857)
5531620.785714apic1252.011935L5PCtemplate[0].apic[77](0.785714)
5541620.928571apic1272.071288L5PCtemplate[0].apic[77](0.928571)
\n", "
" ], "text/plain": [ " Sec ID X Type Distance Name\n", "412 126 0.500000 apic 1210.508410 L5PCtemplate[0].apic[41](0.5)\n", "413 127 0.166667 apic 1221.336495 L5PCtemplate[0].apic[42](0.166667)\n", "414 127 0.500000 apic 1236.259644 L5PCtemplate[0].apic[42](0.5)\n", "415 127 0.833333 apic 1251.182792 L5PCtemplate[0].apic[42](0.833333)\n", "416 128 0.500000 apic 1226.094266 L5PCtemplate[0].apic[43](0.5)\n", "417 129 0.100000 apic 1215.559519 L5PCtemplate[0].apic[44](0.1)\n", "418 129 0.300000 apic 1232.394757 L5PCtemplate[0].apic[44](0.3)\n", "419 129 0.500000 apic 1249.229996 L5PCtemplate[0].apic[44](0.5)\n", "420 129 0.700000 apic 1266.065234 L5PCtemplate[0].apic[44](0.7)\n", "421 129 0.900000 apic 1282.900473 L5PCtemplate[0].apic[44](0.9)\n", "493 148 0.388889 apic 1210.998250 L5PCtemplate[0].apic[63](0.388889)\n", "494 148 0.500000 apic 1229.383692 L5PCtemplate[0].apic[63](0.5)\n", "495 148 0.611111 apic 1247.769135 L5PCtemplate[0].apic[63](0.611111)\n", "496 148 0.722222 apic 1266.154577 L5PCtemplate[0].apic[63](0.722222)\n", "497 148 0.833333 apic 1284.540019 L5PCtemplate[0].apic[63](0.833333)\n", "498 148 0.944444 apic 1302.925462 L5PCtemplate[0].apic[63](0.944444)\n", "502 149 0.700000 apic 1217.553742 L5PCtemplate[0].apic[64](0.7)\n", "503 149 0.900000 apic 1237.812182 L5PCtemplate[0].apic[64](0.9)\n", "504 150 0.500000 apic 1256.127140 L5PCtemplate[0].apic[65](0.5)\n", "505 151 0.500000 apic 1260.990831 L5PCtemplate[0].apic[66](0.5)\n", "510 152 0.500000 apic 1203.354992 L5PCtemplate[0].apic[67](0.5)\n", "511 152 0.611111 apic 1224.773616 L5PCtemplate[0].apic[67](0.611111)\n", "512 152 0.722222 apic 1246.192240 L5PCtemplate[0].apic[67](0.722222)\n", "513 152 0.833333 apic 1267.610864 L5PCtemplate[0].apic[67](0.833333)\n", "514 152 0.944444 apic 1289.029489 L5PCtemplate[0].apic[67](0.944444)\n", "529 155 0.833333 apic 1213.635064 L5PCtemplate[0].apic[70](0.833333)\n", "531 156 0.500000 apic 1202.723808 L5PCtemplate[0].apic[71](0.5)\n", "532 156 0.833333 apic 1221.971211 L5PCtemplate[0].apic[71](0.833333)\n", "533 157 0.500000 apic 1249.288290 L5PCtemplate[0].apic[72](0.5)\n", "534 158 0.166667 apic 1243.120032 L5PCtemplate[0].apic[73](0.166667)\n", "535 158 0.500000 apic 1266.170271 L5PCtemplate[0].apic[73](0.5)\n", "536 158 0.833333 apic 1289.220510 L5PCtemplate[0].apic[73](0.833333)\n", "544 161 0.500000 apic 1210.160482 L5PCtemplate[0].apic[76](0.5)\n", "545 161 0.642857 apic 1229.724764 L5PCtemplate[0].apic[76](0.642857)\n", "546 161 0.785714 apic 1249.289047 L5PCtemplate[0].apic[76](0.785714)\n", "547 161 0.928571 apic 1268.853330 L5PCtemplate[0].apic[76](0.928571)\n", "551 162 0.500000 apic 1211.893228 L5PCtemplate[0].apic[77](0.5)\n", "552 162 0.642857 apic 1231.952581 L5PCtemplate[0].apic[77](0.642857)\n", "553 162 0.785714 apic 1252.011935 L5PCtemplate[0].apic[77](0.785714)\n", "554 162 0.928571 apic 1272.071288 L5PCtemplate[0].apic[77](0.928571)" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "segs[segs.Distance>1200]" ] }, { "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 }