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How to convert data values into color information for Matplotlib?
To convert data values into color information for Matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Get a colormap instance, defaulting to rc values if *name* is None.
- Create random values that could be converted into color information.
- Create random data points, x and y.
- Use scatter() method to plot x and y.
- 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
plasma = plt.get_cmap('GnBu_r')
values = np.random.rand(100)
x = np.random.rand(len(values))
y = np.random.rand(len(values))
sc = plt.scatter(x, y, c=[plasma(val) for val in values])
plt.show()Output
Updated on: 03-Jun-2021
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