Map values to colors in Matplotlib

To map values to a colors tuple(red, green and blue) in matplotlib, we can take the following steps −

• Create a list of values from 1.00 to 2.00, count=10.

• Get linearly normalized data into the vmin and vmax interval.

• Get an object to map the scalar data to rgba.

• Iterate the values to map the color values.

• Print the values against the mapped red, green, and blue values.

Example

import numpy as np from matplotlib import cm, colors values = np.linspace(1.0, 2.0, 10) norm = colors.Normalize(vmin=1.0, vmax=2.0, clip=True) mapper = cm.ScalarMappable(norm=norm, cmap=cm.Greys_r) for value in values:    print("%.2f" % value, "=",       "red:%.2f" % mapper.to_rgba(value)[0],       "green:%.2f" % mapper.to_rgba(value)[1],       "blue:%.2f" % mapper.to_rgba(value)[2])

Output

1.00 = red:0.00 green:0.00 blue:0.00 1.11 = red:0.13 green:0.13 blue:0.13 1.22 = red:0.28 green:0.28 blue:0.28 1.33 = red:0.41 green:0.41 blue:0.41 1.44 = red:0.53 green:0.53 blue:0.53 1.56 = red:0.66 green:0.66 blue:0.66 1.67 = red:0.78 green:0.78 blue:0.78 1.78 = red:0.87 green:0.87 blue:0.87 1.89 = red:0.95 green:0.95 blue:0.95 2.00 = red:1.00 green:1.00 blue:1.00