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How to put a plot built in matplotlib into an interface created in Qt Designer?
Good day, comrades.
How can Qt Designer mark plot(s) to be plotted with matplotlib ?
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Here
is an
example for you:
import sys
import random
import matplotlib
matplotlib.use('Qt5Agg')
from PyQt5 import QtCore, QtWidgets
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
class MplCanvas(FigureCanvas):
def __init__(self, parent=None, width=5, height=4, dpi=100):
fig = Figure(figsize=(width, height), dpi=dpi)
self.axes = fig.add_subplot(111)
super(MplCanvas, self).__init__(fig)
class MainWindow(QtWidgets.QMainWindow):
def __init__(self, *args, **kwargs):
super(MainWindow, self).__init__(*args, **kwargs)
self.canvas = MplCanvas(self, width=5, height=4, dpi=100)
self.setCentralWidget(self.canvas)
n_data = 50
self.xdata = list(range(n_data))
self.ydata = [random.randint(0, 10) for i in range(n_data)]
self.update_plot()
self.show()
# Setup a timer to trigger the redraw by calling update_plot.
self.timer = QtCore.QTimer()
self.timer.setInterval(100)
self.timer.timeout.connect(self.update_plot)
self.timer.start()
def update_plot(self):
# Drop off the first y element, append a new one.
self.ydata = self.ydata[1:] + [random.randint(0, 10)]
self.canvas.axes.cla() # Clear the canvas.
self.canvas.axes.plot(self.xdata, self.ydata, 'r')
# Trigger the canvas to update and redraw.
self.canvas.draw()
app = QtWidgets.QApplication(sys.argv)
w = MainWindow()
app.exec_()
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