To show multiple colorbars in matplotlib, we can take the following steps−
- Set the figure size and adjust the padding between and around the subplots.
- Create a figure and a set of subplots.
- Initialize a variable N for the number of sample data.
- Create random data1 using numpy.
- Display data as an image, i.e., on a 2D regular raster, with data1.
- Add a colorbar to a plot.
- Repeat steps 4, 5, and 6, with different datasets and axes.
- To display the figure, use show() method.
Example
from matplotlib import pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1) N = 10 data1 = np.random.rand(N, N) im1 = ax1.imshow(data1, cmap='hot') plt.colorbar(im1, cax=ax1) data2 = np.random.rand(N, N) im2 = ax2.imshow(data2, cmap='plasma') plt.colorbar(im2, cax=ax2) plt.show()
Output
