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()