How to make the Parula colormap in Matplotlib?

To make the Parula colormap in matplotlib, we can take the following steps

Set the figure size and adjust the padding between and around the subplots.
Create colormap data using numpy.
Create a 'LinearSegmentedColormap' from a list of colors.
Viscum is a little tool for analyzing colormaps and creating new colormaps.
Use imshow() method to display data as an image, i.e., on a 2D regular raster.
To display the figure, use show() method.

Example

from matplotlib.colors import LinearSegmentedColormap
import matplotlib.pyplot as plt
import numpy as np
from viscm import viscm
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
cm_data = np.random.rand(4, 4)
parula_map = LinearSegmentedColormap.from_list('parula', cm_data)
viscm(parula_map)
plt.imshow(np.linspace(0, 100, 256)[None, :], aspect='auto', cmap=parula_map)
plt.show()

Output

Rishikesh Kumar Rishi

Updated on: 2021-06-02T08:34:01+05:30

1K+ Views

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