Scroll backwards and forwards through Matplotlib plots

MatplotlibPythonData Visualization

To scroll backward and forwards (left and right keys) through Matplotlib plots, we can take the following steps −

  • Set the figure size and adjust the padding between and around the subplots.
  • Create curr_pos and y using numpy.
  • Create a new figure or activate an existing figure using figure() method.
  • Bind the function to the event, i.e., key_press_event.
  • Add an '~.axes.Axes' to the figure as part of a subplot arrangement.
  • Plot curr_pos and y data points using plot() method.
  • If the left and right arrow keys could be used, then the curve could go right and left accordingly.
  • To display the figure, use show() method.

Example

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

curr_pos = np.linspace(-10, 10, 100)
y = np.sin(curr_pos)

def key_event(e):
   global curr_pos
   if e.key == "right":
      curr_pos = curr_pos + 1
   else:
      curr_pos = curr_pos - 1
   ax.cla()
   ax.plot(curr_pos, np.sin(curr_pos))
   fig.canvas.draw()
fig = plt.figure()
fig.canvas.mpl_connect('key_press_event', key_event)

ax = fig.add_subplot(111)
ax.plot(curr_pos, y)

plt.show()

Output

Now, press the left or right arrow keys on the board to scroll backwards or forwards through the plot.

raja
Updated on 17-Jun-2021 12:01:51

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