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Setting the limits on a colorbar of a contour plot in Matplotlib
To set the limits on a colorbar of a countour plot in Matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create x and y data points using numpy.
- Get the data using x and y.
- Get the coordinate matrices from the coordinate vectors.
- Initialize vmin and vmax to set the limits on a colorbar of a contour plot in matplotlib.
- Plot contours using contourf() method.
- Make the colorbar using scalar mappable within the range of vmin and vmax.
- To display the figure, use show() method.
Example
from matplotlib import pyplot as plt import numpy as np from matplotlib.cm import ScalarMappable plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.arange(20) y = np.arange(20) data = x[:, None] + y[None, :] X, Y = np.meshgrid(x, y) vmin = 0 vmax = 15 fig, ax = plt.subplots() qcs = ax.contourf( X, Y, data, vmin=vmin, vmax=vmax ) fig.colorbar( ScalarMappable(norm=qcs.norm, cmap=qcs.cmap), ticks=range(vmin, vmax+5, 5) ) plt.show()
Output
Updated on: 09-Jun-2021
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