Update an embedded matplotlib plot in a pyqt5 gui with toolbar










0















In this post I asked how to embed a matplotlib plot in a pyqt5 gui which is working fine now. Now I have a further problem that I couldn't solve until now: how can I update the figure?



I tried to update the canvas by calling



self.plotWidget = FigureCanvas(fig)


every time with a new "fig" object but nothing happened. So I tried to add it to the layout



self.lay.addWidget(self.plotWidget)


but this adds another subplot to the widget. I guess that I have to clear the previous plot before updating but I don't know how to do it.



What is the correct strategy to replot using the update method?



Thanks!



# -*- coding: utf-8 -*-

import sys
import numpy as np

from PyQt5 import QtCore, QtWidgets, uic

import matplotlib
matplotlib.use('QT5Agg')

import matplotlib.pylab as plt

from matplotlib.backends.qt_compat import QtCore, QtWidgets, is_pyqt5
from matplotlib.backends.backend_qt5agg import FigureCanvas, NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure

class MyWindow(QMainWindow):

def __init__(self):

super(MyWindow, self).__init__()
uic.loadUi('test.ui', self)

# test data
data = np.array([0.7,0.7,0.7,0.8,0.9,0.9,1.5,1.5,1.5,1.5])
fig, ax1 = plt.subplots()
bins = np.arange(0.6, 1.62, 0.02)
n1, bins1, patches1 = ax1.hist(data, bins, alpha=0.6, density=False, cumulative=False)

# plot
self.plotWidget = FigureCanvas(fig)
self.lay = QtWidgets.QVBoxLayout(self.content_plot)
self.lay.setContentsMargins(0, 0, 0, 0)
self.lay.addWidget(self.plotWidget)

# add toolbar
self.addToolBar(QtCore.Qt.BottomToolBarArea, NavigationToolbar(self.plotWidget, self))

# button event
self.pushButton.clicked.connect(self.update)

# show window
self.show()

#########################################

def update(self):

data = np.array([0.1,0.1,0.1,0.1,0.3,0.3,1.7,1.7,1.7,1.7])
fig, ax1 = plt.subplots()
bins = np.arange(0.6, 1.62, 0.02)
n1, bins1, patches1 = ax1.hist(data, bins, alpha=0.6, density=False, cumulative=False)

# show plot in canvas
self.plotWidget = FigureCanvas(fig)
self.toolbarWidget = NavigationToolbar(self.plotWidget, self)


if __name__ == '__main__':

app = QtWidgets.QApplication(sys.argv)
window = MyWindow()
sys.exit(app.exec_())









share|improve this question


























    0















    In this post I asked how to embed a matplotlib plot in a pyqt5 gui which is working fine now. Now I have a further problem that I couldn't solve until now: how can I update the figure?



    I tried to update the canvas by calling



    self.plotWidget = FigureCanvas(fig)


    every time with a new "fig" object but nothing happened. So I tried to add it to the layout



    self.lay.addWidget(self.plotWidget)


    but this adds another subplot to the widget. I guess that I have to clear the previous plot before updating but I don't know how to do it.



    What is the correct strategy to replot using the update method?



    Thanks!



    # -*- coding: utf-8 -*-

    import sys
    import numpy as np

    from PyQt5 import QtCore, QtWidgets, uic

    import matplotlib
    matplotlib.use('QT5Agg')

    import matplotlib.pylab as plt

    from matplotlib.backends.qt_compat import QtCore, QtWidgets, is_pyqt5
    from matplotlib.backends.backend_qt5agg import FigureCanvas, NavigationToolbar2QT as NavigationToolbar
    from matplotlib.figure import Figure

    class MyWindow(QMainWindow):

    def __init__(self):

    super(MyWindow, self).__init__()
    uic.loadUi('test.ui', self)

    # test data
    data = np.array([0.7,0.7,0.7,0.8,0.9,0.9,1.5,1.5,1.5,1.5])
    fig, ax1 = plt.subplots()
    bins = np.arange(0.6, 1.62, 0.02)
    n1, bins1, patches1 = ax1.hist(data, bins, alpha=0.6, density=False, cumulative=False)

    # plot
    self.plotWidget = FigureCanvas(fig)
    self.lay = QtWidgets.QVBoxLayout(self.content_plot)
    self.lay.setContentsMargins(0, 0, 0, 0)
    self.lay.addWidget(self.plotWidget)

    # add toolbar
    self.addToolBar(QtCore.Qt.BottomToolBarArea, NavigationToolbar(self.plotWidget, self))

    # button event
    self.pushButton.clicked.connect(self.update)

    # show window
    self.show()

    #########################################

    def update(self):

    data = np.array([0.1,0.1,0.1,0.1,0.3,0.3,1.7,1.7,1.7,1.7])
    fig, ax1 = plt.subplots()
    bins = np.arange(0.6, 1.62, 0.02)
    n1, bins1, patches1 = ax1.hist(data, bins, alpha=0.6, density=False, cumulative=False)

    # show plot in canvas
    self.plotWidget = FigureCanvas(fig)
    self.toolbarWidget = NavigationToolbar(self.plotWidget, self)


    if __name__ == '__main__':

    app = QtWidgets.QApplication(sys.argv)
    window = MyWindow()
    sys.exit(app.exec_())









    share|improve this question
























      0












      0








      0








      In this post I asked how to embed a matplotlib plot in a pyqt5 gui which is working fine now. Now I have a further problem that I couldn't solve until now: how can I update the figure?



      I tried to update the canvas by calling



      self.plotWidget = FigureCanvas(fig)


      every time with a new "fig" object but nothing happened. So I tried to add it to the layout



      self.lay.addWidget(self.plotWidget)


      but this adds another subplot to the widget. I guess that I have to clear the previous plot before updating but I don't know how to do it.



      What is the correct strategy to replot using the update method?



      Thanks!



      # -*- coding: utf-8 -*-

      import sys
      import numpy as np

      from PyQt5 import QtCore, QtWidgets, uic

      import matplotlib
      matplotlib.use('QT5Agg')

      import matplotlib.pylab as plt

      from matplotlib.backends.qt_compat import QtCore, QtWidgets, is_pyqt5
      from matplotlib.backends.backend_qt5agg import FigureCanvas, NavigationToolbar2QT as NavigationToolbar
      from matplotlib.figure import Figure

      class MyWindow(QMainWindow):

      def __init__(self):

      super(MyWindow, self).__init__()
      uic.loadUi('test.ui', self)

      # test data
      data = np.array([0.7,0.7,0.7,0.8,0.9,0.9,1.5,1.5,1.5,1.5])
      fig, ax1 = plt.subplots()
      bins = np.arange(0.6, 1.62, 0.02)
      n1, bins1, patches1 = ax1.hist(data, bins, alpha=0.6, density=False, cumulative=False)

      # plot
      self.plotWidget = FigureCanvas(fig)
      self.lay = QtWidgets.QVBoxLayout(self.content_plot)
      self.lay.setContentsMargins(0, 0, 0, 0)
      self.lay.addWidget(self.plotWidget)

      # add toolbar
      self.addToolBar(QtCore.Qt.BottomToolBarArea, NavigationToolbar(self.plotWidget, self))

      # button event
      self.pushButton.clicked.connect(self.update)

      # show window
      self.show()

      #########################################

      def update(self):

      data = np.array([0.1,0.1,0.1,0.1,0.3,0.3,1.7,1.7,1.7,1.7])
      fig, ax1 = plt.subplots()
      bins = np.arange(0.6, 1.62, 0.02)
      n1, bins1, patches1 = ax1.hist(data, bins, alpha=0.6, density=False, cumulative=False)

      # show plot in canvas
      self.plotWidget = FigureCanvas(fig)
      self.toolbarWidget = NavigationToolbar(self.plotWidget, self)


      if __name__ == '__main__':

      app = QtWidgets.QApplication(sys.argv)
      window = MyWindow()
      sys.exit(app.exec_())









      share|improve this question














      In this post I asked how to embed a matplotlib plot in a pyqt5 gui which is working fine now. Now I have a further problem that I couldn't solve until now: how can I update the figure?



      I tried to update the canvas by calling



      self.plotWidget = FigureCanvas(fig)


      every time with a new "fig" object but nothing happened. So I tried to add it to the layout



      self.lay.addWidget(self.plotWidget)


      but this adds another subplot to the widget. I guess that I have to clear the previous plot before updating but I don't know how to do it.



      What is the correct strategy to replot using the update method?



      Thanks!



      # -*- coding: utf-8 -*-

      import sys
      import numpy as np

      from PyQt5 import QtCore, QtWidgets, uic

      import matplotlib
      matplotlib.use('QT5Agg')

      import matplotlib.pylab as plt

      from matplotlib.backends.qt_compat import QtCore, QtWidgets, is_pyqt5
      from matplotlib.backends.backend_qt5agg import FigureCanvas, NavigationToolbar2QT as NavigationToolbar
      from matplotlib.figure import Figure

      class MyWindow(QMainWindow):

      def __init__(self):

      super(MyWindow, self).__init__()
      uic.loadUi('test.ui', self)

      # test data
      data = np.array([0.7,0.7,0.7,0.8,0.9,0.9,1.5,1.5,1.5,1.5])
      fig, ax1 = plt.subplots()
      bins = np.arange(0.6, 1.62, 0.02)
      n1, bins1, patches1 = ax1.hist(data, bins, alpha=0.6, density=False, cumulative=False)

      # plot
      self.plotWidget = FigureCanvas(fig)
      self.lay = QtWidgets.QVBoxLayout(self.content_plot)
      self.lay.setContentsMargins(0, 0, 0, 0)
      self.lay.addWidget(self.plotWidget)

      # add toolbar
      self.addToolBar(QtCore.Qt.BottomToolBarArea, NavigationToolbar(self.plotWidget, self))

      # button event
      self.pushButton.clicked.connect(self.update)

      # show window
      self.show()

      #########################################

      def update(self):

      data = np.array([0.1,0.1,0.1,0.1,0.3,0.3,1.7,1.7,1.7,1.7])
      fig, ax1 = plt.subplots()
      bins = np.arange(0.6, 1.62, 0.02)
      n1, bins1, patches1 = ax1.hist(data, bins, alpha=0.6, density=False, cumulative=False)

      # show plot in canvas
      self.plotWidget = FigureCanvas(fig)
      self.toolbarWidget = NavigationToolbar(self.plotWidget, self)


      if __name__ == '__main__':

      app = QtWidgets.QApplication(sys.argv)
      window = MyWindow()
      sys.exit(app.exec_())






      python matplotlib pyqt5






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      asked Nov 12 '18 at 8:17









      schlenzmeisterschlenzmeister

      348




      348






















          1 Answer
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          1














          You should not create a new figure, instead, reuse the axes that you already have. That means that you have to keep a reference to that object first.



          I cannot test the code right now, but you should do something like



          def __init__(self):
          (...)
          self.fig, self.ax = plt.subplots()
          (...)

          def update(self):
          data = (...)
          self.ax.cla() # clear the axes content
          self.ax.hist(...)
          self.fig.canvas.draw_idle() # actually draw the new content





          share|improve this answer























          • Thanks! That is easy... :)

            – schlenzmeister
            Nov 12 '18 at 14:44










          Your Answer






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          1 Answer
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          1 Answer
          1






          active

          oldest

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          active

          oldest

          votes






          active

          oldest

          votes









          1














          You should not create a new figure, instead, reuse the axes that you already have. That means that you have to keep a reference to that object first.



          I cannot test the code right now, but you should do something like



          def __init__(self):
          (...)
          self.fig, self.ax = plt.subplots()
          (...)

          def update(self):
          data = (...)
          self.ax.cla() # clear the axes content
          self.ax.hist(...)
          self.fig.canvas.draw_idle() # actually draw the new content





          share|improve this answer























          • Thanks! That is easy... :)

            – schlenzmeister
            Nov 12 '18 at 14:44















          1














          You should not create a new figure, instead, reuse the axes that you already have. That means that you have to keep a reference to that object first.



          I cannot test the code right now, but you should do something like



          def __init__(self):
          (...)
          self.fig, self.ax = plt.subplots()
          (...)

          def update(self):
          data = (...)
          self.ax.cla() # clear the axes content
          self.ax.hist(...)
          self.fig.canvas.draw_idle() # actually draw the new content





          share|improve this answer























          • Thanks! That is easy... :)

            – schlenzmeister
            Nov 12 '18 at 14:44













          1












          1








          1







          You should not create a new figure, instead, reuse the axes that you already have. That means that you have to keep a reference to that object first.



          I cannot test the code right now, but you should do something like



          def __init__(self):
          (...)
          self.fig, self.ax = plt.subplots()
          (...)

          def update(self):
          data = (...)
          self.ax.cla() # clear the axes content
          self.ax.hist(...)
          self.fig.canvas.draw_idle() # actually draw the new content





          share|improve this answer













          You should not create a new figure, instead, reuse the axes that you already have. That means that you have to keep a reference to that object first.



          I cannot test the code right now, but you should do something like



          def __init__(self):
          (...)
          self.fig, self.ax = plt.subplots()
          (...)

          def update(self):
          data = (...)
          self.ax.cla() # clear the axes content
          self.ax.hist(...)
          self.fig.canvas.draw_idle() # actually draw the new content






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 12 '18 at 12:10









          Diziet AsahiDiziet Asahi

          8,70831729




          8,70831729












          • Thanks! That is easy... :)

            – schlenzmeister
            Nov 12 '18 at 14:44

















          • Thanks! That is easy... :)

            – schlenzmeister
            Nov 12 '18 at 14:44
















          Thanks! That is easy... :)

          – schlenzmeister
          Nov 12 '18 at 14:44





          Thanks! That is easy... :)

          – schlenzmeister
          Nov 12 '18 at 14:44



















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