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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
Updated on: 02-Jun-2021
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