How to animate the colorbar in Matplotlib?

MatplotlibPythonData Visualization

To animate the colorbar in matplotlib, we can take the following steps −

  • Set the figure size and adjust the padding between and around the subplots.

  • Create a new figure or activate an existing figure.

  • Add an '~.axes.Axes' to the figure as part of a subplot arrangement.

  • Instantiate Divider based on the pre-existing axes, i.e., ax object and return a new axis locator for the specified cell.

  • Create an axes at the given *position* with the same height (or width) of the main axes.

  • Create random data using numpy.

  • Use imshow() method to plot random data.

  • Set the title of the plot.

  • Instantiate the list of colormaps.

  • To animate the colorbar, use animate() method.

  • To display the figure, use show() method.

Example

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from mpl_toolkits.axes_grid1 import make_axes_locatable

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

fig = plt.figure()

ax = fig.add_subplot(111)
div = make_axes_locatable(ax)
cax = div.append_axes('right', '5%', '5%')
data = np.random.rand(5, 5)
im = ax.imshow(data)
cb = fig.colorbar(im, cax=cax)
tx = ax.set_title('Frame 0')
cmap = ["copper", 'RdBu_r', 'Oranges', 'cividis', 'hot', 'plasma']

def animate(i):
   cax.cla()
   data = np.random.rand(5, 5)
   im = ax.imshow(data, cmap=cmap[i%len(cmap)])
   fig.colorbar(im, cax=cax)
   tx.set_text('Frame {0}'.format(i))
ani = animation.FuncAnimation(fig, animate, frames=10)

plt.show()

Output

raja
Published on 04-Jun-2021 06:36:56
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