How to switch between diagrams with a button in Matplotlib











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Is there an easy way, to switch between two or more diagrams with a button? I would like, for example be able to switch between these two diagrams with a button instead of showing them one after the other.



import matplotlib.pyplot as plt

x_values = [1, 2, 3, 4, 5]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()

x_values = [5, 4, 3, 2, 1]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()


I know there are examples for this problem out there, but I simply can't get it to work...



Here is the link, where they show how to do it, but I don't understand how to do it...



Link: https://matplotlib.org/gallery/widgets/buttons.html










share|improve this question


























    up vote
    0
    down vote

    favorite












    Is there an easy way, to switch between two or more diagrams with a button? I would like, for example be able to switch between these two diagrams with a button instead of showing them one after the other.



    import matplotlib.pyplot as plt

    x_values = [1, 2, 3, 4, 5]
    y_values = [1, 4, 9, 16, 25]
    plt.bar(x_values, y_values)
    plt.show()

    x_values = [5, 4, 3, 2, 1]
    y_values = [1, 4, 9, 16, 25]
    plt.bar(x_values, y_values)
    plt.show()


    I know there are examples for this problem out there, but I simply can't get it to work...



    Here is the link, where they show how to do it, but I don't understand how to do it...



    Link: https://matplotlib.org/gallery/widgets/buttons.html










    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Is there an easy way, to switch between two or more diagrams with a button? I would like, for example be able to switch between these two diagrams with a button instead of showing them one after the other.



      import matplotlib.pyplot as plt

      x_values = [1, 2, 3, 4, 5]
      y_values = [1, 4, 9, 16, 25]
      plt.bar(x_values, y_values)
      plt.show()

      x_values = [5, 4, 3, 2, 1]
      y_values = [1, 4, 9, 16, 25]
      plt.bar(x_values, y_values)
      plt.show()


      I know there are examples for this problem out there, but I simply can't get it to work...



      Here is the link, where they show how to do it, but I don't understand how to do it...



      Link: https://matplotlib.org/gallery/widgets/buttons.html










      share|improve this question













      Is there an easy way, to switch between two or more diagrams with a button? I would like, for example be able to switch between these two diagrams with a button instead of showing them one after the other.



      import matplotlib.pyplot as plt

      x_values = [1, 2, 3, 4, 5]
      y_values = [1, 4, 9, 16, 25]
      plt.bar(x_values, y_values)
      plt.show()

      x_values = [5, 4, 3, 2, 1]
      y_values = [1, 4, 9, 16, 25]
      plt.bar(x_values, y_values)
      plt.show()


      I know there are examples for this problem out there, but I simply can't get it to work...



      Here is the link, where they show how to do it, but I don't understand how to do it...



      Link: https://matplotlib.org/gallery/widgets/buttons.html







      python matplotlib button diagram






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 10 at 17:47









      Mysterious Challenger

      125




      125
























          1 Answer
          1






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          up vote
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          down vote



          accepted










          Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.



          import matplotlib.pyplot as plt
          from matplotlib.widgets import Button

          x1_values = [1, 2, 3, 4, 5]
          y1_values = [1, 4, 9, 16, 25]
          l, = plt.plot(x1_values, y1_values)


          class Index(object):
          def __init__(self):
          self.current = 1

          self.x1 = [5, 4, 3, 2, 1]
          self.y1 = [1, 4, 9, 16, 25]

          self.x2 = [1, 2, 3, 4, 5]
          self.y2 = [1, 4, 9, 16, 25]

          def plot(self, x):
          self.current += 1

          if self.current%2:
          self.values1()
          else:
          self.values2()

          def values1(self):
          l.set_xdata(self.x1)
          l.set_ydata(self.y1)
          plt.draw()

          def values2(self):
          l.set_xdata(self.x2)
          l.set_ydata(self.y2)
          plt.draw()

          callback = Index()
          axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
          bprev = Button(axnext, 'Switch')
          bprev.on_clicked(callback.plot)

          plt.show()





          share|improve this answer























          • Many thanks, much better to understand and to experiment with!
            – Mysterious Challenger
            Nov 10 at 18:11











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          0
          down vote



          accepted










          Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.



          import matplotlib.pyplot as plt
          from matplotlib.widgets import Button

          x1_values = [1, 2, 3, 4, 5]
          y1_values = [1, 4, 9, 16, 25]
          l, = plt.plot(x1_values, y1_values)


          class Index(object):
          def __init__(self):
          self.current = 1

          self.x1 = [5, 4, 3, 2, 1]
          self.y1 = [1, 4, 9, 16, 25]

          self.x2 = [1, 2, 3, 4, 5]
          self.y2 = [1, 4, 9, 16, 25]

          def plot(self, x):
          self.current += 1

          if self.current%2:
          self.values1()
          else:
          self.values2()

          def values1(self):
          l.set_xdata(self.x1)
          l.set_ydata(self.y1)
          plt.draw()

          def values2(self):
          l.set_xdata(self.x2)
          l.set_ydata(self.y2)
          plt.draw()

          callback = Index()
          axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
          bprev = Button(axnext, 'Switch')
          bprev.on_clicked(callback.plot)

          plt.show()





          share|improve this answer























          • Many thanks, much better to understand and to experiment with!
            – Mysterious Challenger
            Nov 10 at 18:11















          up vote
          0
          down vote



          accepted










          Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.



          import matplotlib.pyplot as plt
          from matplotlib.widgets import Button

          x1_values = [1, 2, 3, 4, 5]
          y1_values = [1, 4, 9, 16, 25]
          l, = plt.plot(x1_values, y1_values)


          class Index(object):
          def __init__(self):
          self.current = 1

          self.x1 = [5, 4, 3, 2, 1]
          self.y1 = [1, 4, 9, 16, 25]

          self.x2 = [1, 2, 3, 4, 5]
          self.y2 = [1, 4, 9, 16, 25]

          def plot(self, x):
          self.current += 1

          if self.current%2:
          self.values1()
          else:
          self.values2()

          def values1(self):
          l.set_xdata(self.x1)
          l.set_ydata(self.y1)
          plt.draw()

          def values2(self):
          l.set_xdata(self.x2)
          l.set_ydata(self.y2)
          plt.draw()

          callback = Index()
          axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
          bprev = Button(axnext, 'Switch')
          bprev.on_clicked(callback.plot)

          plt.show()





          share|improve this answer























          • Many thanks, much better to understand and to experiment with!
            – Mysterious Challenger
            Nov 10 at 18:11













          up vote
          0
          down vote



          accepted







          up vote
          0
          down vote



          accepted






          Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.



          import matplotlib.pyplot as plt
          from matplotlib.widgets import Button

          x1_values = [1, 2, 3, 4, 5]
          y1_values = [1, 4, 9, 16, 25]
          l, = plt.plot(x1_values, y1_values)


          class Index(object):
          def __init__(self):
          self.current = 1

          self.x1 = [5, 4, 3, 2, 1]
          self.y1 = [1, 4, 9, 16, 25]

          self.x2 = [1, 2, 3, 4, 5]
          self.y2 = [1, 4, 9, 16, 25]

          def plot(self, x):
          self.current += 1

          if self.current%2:
          self.values1()
          else:
          self.values2()

          def values1(self):
          l.set_xdata(self.x1)
          l.set_ydata(self.y1)
          plt.draw()

          def values2(self):
          l.set_xdata(self.x2)
          l.set_ydata(self.y2)
          plt.draw()

          callback = Index()
          axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
          bprev = Button(axnext, 'Switch')
          bprev.on_clicked(callback.plot)

          plt.show()





          share|improve this answer














          Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.



          import matplotlib.pyplot as plt
          from matplotlib.widgets import Button

          x1_values = [1, 2, 3, 4, 5]
          y1_values = [1, 4, 9, 16, 25]
          l, = plt.plot(x1_values, y1_values)


          class Index(object):
          def __init__(self):
          self.current = 1

          self.x1 = [5, 4, 3, 2, 1]
          self.y1 = [1, 4, 9, 16, 25]

          self.x2 = [1, 2, 3, 4, 5]
          self.y2 = [1, 4, 9, 16, 25]

          def plot(self, x):
          self.current += 1

          if self.current%2:
          self.values1()
          else:
          self.values2()

          def values1(self):
          l.set_xdata(self.x1)
          l.set_ydata(self.y1)
          plt.draw()

          def values2(self):
          l.set_xdata(self.x2)
          l.set_ydata(self.y2)
          plt.draw()

          callback = Index()
          axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
          bprev = Button(axnext, 'Switch')
          bprev.on_clicked(callback.plot)

          plt.show()






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 10 at 19:06









          Mysterious Challenger

          125




          125










          answered Nov 10 at 18:02









          Filip Młynarski

          1625




          1625












          • Many thanks, much better to understand and to experiment with!
            – Mysterious Challenger
            Nov 10 at 18:11


















          • Many thanks, much better to understand and to experiment with!
            – Mysterious Challenger
            Nov 10 at 18:11
















          Many thanks, much better to understand and to experiment with!
          – Mysterious Challenger
          Nov 10 at 18:11




          Many thanks, much better to understand and to experiment with!
          – Mysterious Challenger
          Nov 10 at 18:11


















           

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