Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
Selected Reading
Contour hatching in Matplotlib plot
To plot contour with hatching, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create x, y and z data points using numpy.
- Flat the x and y data points.
- Create a figure and a set of subplots.
- Plot a contour with different hatches.
- 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 plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-3, 5, 150).reshape(1, -1) y = np.linspace(-3, 5, 120).reshape(-1, 1) z = np.cos(x) + np.sin(y) x, y = x.flatten(), y.flatten() fig1, ax1 = plt.subplots() cs = ax1.contourf(x, y, z, hatches=['-', '/', '\', '//'], cmap='gray', extend='both', alpha=0.5) fig1.colorbar(cs) plt.show()
Output

Advertisements
