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How to plot contourf and log color scale in Matplotlib?
To plot contourf and log scale in Matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Initialize a variable,N, for number of sample data.
- Create x, y, X, Y, Z1, Z2 and z data points using numpy.
- Create a figure and a set of subplots.
- Plot contours using contourf() method.
- Create a colorbar for a scalar mappable instance.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np from numpy import ma from matplotlib import ticker, cm plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True N = 100 x = np.linspace(-3.0, 3.0, N) y = np.linspace(-2.0, 2.0, N) X, Y = np.meshgrid(x, y) Z1 = np.exp(-X**2 - Y**2) Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2) z = Z1 + 50 * Z2 z[:5, :5] = -1 z = ma.masked_where(z <= 0, z) fig, ax = plt.subplots() cs = ax.contourf(X, Y, z, locator=ticker.LogLocator(), cmap=cm.PuBu_r) cbar = fig.colorbar(cs) plt.show()
Output
Updated on: 15-Jun-2021
2K+ Views
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