Plot a polar color wheel based on a colormap using Python/Matplotlib

MatplotlibPythonData Visualization

To plot a color wheel based on a colormap using Python/Matplotlib, we can use the colorbar class and can use copper colormap.

Steps

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

  • Create a new figure or activate an existing figure using figure() method.

  • Add an axes to the figure using add_axes() method.

  • Set the direction of the axes.

  • Linearly normalize the data using Normalize class.

  • Draw a colorbar in an existing axes.

  • Set the artist's visibility.

  • Turn the X- and Y-axis off.

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

Example

import numpy as np
from matplotlib import pyplot as plt, cm, colors, colorbar
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
display_axes = fig.add_axes([0.1, 0.1, 0.8, 0.8], projection='polar')
display_axes._direction = 2 * np.pi
norm = colors.Normalize(0.0, 2 * np.pi)
cb = colorbar.ColorbarBase(display_axes, cmap=cm.get_cmap('copper', 2056), norm=norm, orientation='horizontal')
cb.outline.set_visible(False)
display_axes.set_axis_off()
plt.show()

Output

raja
Published on 01-Jun-2021 12:05:24
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