###################################################################
# #
# PLOTTING A LIVE GRAPH #
# ---------------------------- #
# EMBED A MATPLOTLIB ANIMATION INSIDE YOUR #
# OWN GUI! #
# #
###################################################################
import sys
import os
from PyQt5 import QtGui, QtWidgets, QtCore
import functools
import numpy as np
import random as rd
import matplotlib
matplotlib.use("Qt5Agg")
from matplotlib.figure import Figure
from matplotlib.animation import TimedAnimation
from matplotlib.lines import Line2D
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
import time
import threading
import sys, os
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)),os.path.pardir))
from graphs.my_graph import set_plot
def setCustomSize(x, width, height):
sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Fixed, QtWidgets.QSizePolicy.Fixed)
sizePolicy.setHorizontalStretch(0)
sizePolicy.setVerticalStretch(0)
sizePolicy.setHeightForWidth(x.sizePolicy().hasHeightForWidth())
x.setSizePolicy(sizePolicy)
x.setMinimumSize(QtCore.QSize(width, height))
x.setMaximumSize(QtCore.QSize(width, height))
class CustomMainWindow(QtWidgets.QMainWindow):
def __init__(self, data, speed, dx, xlim, x_bar, x_units):
super(CustomMainWindow, self).__init__()
# Define the geometry of the main window
self.setGeometry(300, 300, 800, 400)
self.setWindowTitle("Time-Varying plot")
# Create FRAME_A
self.FRAME_A = QtWidgets.QFrame(self)
self.FRAME_A.setStyleSheet("QWidget { background-color: %s }" % QtGui.QColor(210,210,235,255).name())
self.LAYOUT_A = QtWidgets.QGridLayout()
self.FRAME_A.setLayout(self.LAYOUT_A)
self.setCentralWidget(self.FRAME_A)
# Place the zoom button
self.zoomBtn = QtWidgets.QPushButton(text = 'zoom')
setCustomSize(self.zoomBtn, 100, 50)
self.zoomBtn.clicked.connect(self.zoomBtnAction)
self.LAYOUT_A.addWidget(self.zoomBtn, *(0,1))
# Place the matplotlib figure
self.myFig = CustomFigCanvas(data, dx, xlim, x_bar, x_units)
self.LAYOUT_A.addWidget(self.myFig, *(0,0))
# Add the callbackfunc to ..
myDataLoop = threading.Thread(name = 'myDataLoop', target = dataSendLoop, daemon = True, args = (self.addData_callbackFunc,data,speed))
myDataLoop.start()
self.show()
''''''
def zoomBtnAction(self):
print("zoom in")
self.myFig.zoomIn(5)
''''''
def addData_callbackFunc(self, value):
# print("Add data: " + str(value))
self.myFig.addData(value)
''' End Class '''
class CustomFigCanvas(FigureCanvas, TimedAnimation):
def __init__(self, data, dx, xlim, x_bar, x_units):
self.addedData = []
print(matplotlib.__version__)
y0, y1 = data.min(), data.max()
# The data
self.xlim = min([len(data), int(xlim/dx)])
self.n = np.linspace(0, self.xlim-1, self.xlim)
self.y = (self.n * 0.0) + data.mean()
# The window
self.fig = Figure(figsize=(5,5), dpi=100)
self.fig.subplots_adjust(bottom=.05, left=.1)
self.ax1 = self.fig.add_subplot(111)
# self.ax1 settings
bar_lim = min([int(x_bar/dx),int(3.*self.xlim/5)])
self.xbar = self.ax1.plot([int(self.xlim/5), bar_lim+int(self.xlim/5)],\
np.ones(2)*(y0+.1*(y1-y0)), 'k-', lw=5)
self.ax1.plot([0, self.xlim-1],[y0,y1], 'w.', ms=1e-4)
self.xbar_legend = self.ax1.annotate(str(int(x_bar))+x_units,\
(int(self.xlim/5),y0))
self.line1 = Line2D([], [], color='blue')
self.line1_tail = Line2D([], [], color='red', linewidth=2)
self.line1_head = Line2D([], [], color='red', marker='o', markeredgecolor='r')
self.ax1.add_line(self.line1)
self.ax1.add_line(self.line1_tail)
self.ax1.add_line(self.line1_head)
set_plot(self.ax1, ['left'], xlim=[0, self.xlim - 1], xticks=[])
FigureCanvas.__init__(self, self.fig)
TimedAnimation.__init__(self, self.fig, interval = 50, blit = True)
def new_frame_seq(self):
return iter(range(self.n.size))
def _init_draw(self):
lines = [self.line1, self.line1_tail, self.line1_head]
for l in lines:
l.set_data([], [])
def addData(self, value):
self.addedData.append(value)
def zoomIn(self, value):
bottom = self.ax1.get_ylim()[0]
top = self.ax1.get_ylim()[1]
bottom += value
top -= value
self.ax1.set_ylim(bottom,top)
self.draw()
def zoomOut(self, value):
bottom = self.ax1.get_ylim()[0]
top = self.ax1.get_ylim()[1]
bottom += value
top -= value
self.ax1.set_ylim(bottom,top)
self.draw()
def _step(self, *args):
# Extends the _step() method for the TimedAnimation class.
try:
TimedAnimation._step(self, *args)
except Exception as e:
self.abc += 1
print(str(self.abc))
TimedAnimation._stop(self)
pass
def _draw_frame(self, framedata):
margin = 2
while(len(self.addedData) > 0):
self.y = np.roll(self.y, -1)
self.y[-1] = self.addedData[0]
del(self.addedData[0])
self.line1.set_data(self.n[ 0 : self.n.size - margin ], self.y[ 0 : self.n.size - margin ])
self.line1_tail.set_data(np.append(self.n[-10:-1 - margin], self.n[-1 - margin]), np.append(self.y[-10:-1 - margin], self.y[-1 - margin]))
self.line1_head.set_data(self.n[-1 - margin], self.y[-1 - margin])
self._drawn_artists = [self.line1, self.line1_tail, self.line1_head]
''' End Class '''
# You need to setup a signal slot mechanism, to
# send data to your GUI in a thread-safe way.
# Believe me, if you don't do this right, things
# go very very wrong..
class Communicate(QtCore.QObject):
data_signal = QtCore.pyqtSignal(float)
''' End Class '''
def dataSendLoop(addData_callbackFunc, data=None, speed=0.1):
# Setup the signal-slot mechanism.
mySrc = Communicate()
mySrc.data_signal.connect(addData_callbackFunc)
if data is None:
print('missing data ...')
# Simulate some data
i=0
while i<len(data):
time.sleep(speed)
mySrc.data_signal.emit(data[i]) # <- Here you emit a signal!
i += 1
###
###
if __name__== '__main__':
import argparse
# First a nice documentation
parser=argparse.ArgumentParser(description=
"""
A movie plot of a time trace
"""
,formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument('-s',"--speed",help="speed for the defilment",type=float,default=5)
parser.add_argument('-xb',"--x_bar",help="bar for x-axis", type=float, default=20)
parser.add_argument('-xu',"--x_units",help="units for x-axis", default='ms')
parser.add_argument('-xl',"--x_lim",help="limits for x-axis", type=float, default=1000)
parser.add_argument("--dx",help="units for x-axis", type=float, default=1e-1)
parser.add_argument("--ylim",help="ylimits", nargs=2, type=float, default=[-1e9,1e9])
parser.add_argument("--xzoom",help="zoom over x-axis", nargs=2,\
type=float, default=[0,1e9])
parser.add_argument("-f", "--filename", help="filename")
parser.add_argument("--key", help="key within the datafile", default='vm')
args = parser.parse_args()
if args.filename is not None:
# means we have passed a datafile
data = np.load(args.filename)
y = data[args.key]
y = y[max([int(args.xzoom[0]/args.dx),0]):min([int(args.xzoom[1]/args.dx),len(y)])]
y[y<args.ylim[0]]= args.ylim[0]
y[y>args.ylim[1]] = args.ylim[1]
else:
x = np.linspace(0, 499, 500)
y = 50 + 25*(np.sin(x / 8.3)) + 10*(np.sin(x / 7.5)) - 5*(np.sin(x / 1.5))
app = QtWidgets.QApplication(sys.argv)
QtWidgets.QApplication.setStyle(QtWidgets.QStyleFactory.create('Plastique'))
myGUI = CustomMainWindow(y, args.speed/1e3, args.dx, args.x_lim, args.x_bar, args.x_units)
sys.exit(app.exec_())
''''''