Matplotlib Tutorial

Matplotlib 3D wireframe plot Matplotlib 3D Plotting

Matplotlib 3D contour plot

ax.contour3The D() function creates a 3D contour plot. It requires all input data to be in the form of two-dimensional regular grids and to evaluate Z data at each point. Here, a 3D sine function contour plot will be demonstrated.

Example code

Example

# Filename: example.py
# Copyright :　2020 By w3codebox
# Author by: www.oldtoolbag.com
# Date :　2020-08-08
#!　/usr/bin/env python
　#coding=utf-8
　import matplotlib.pyplot as plt
　import numpy as np
　import math
　import seaborn as sns
　plt.rcParams['font.sans-serif'] = ['SimHei']  # Step one (replace sans-serif font)
　plt.rcParams['axes.unicode_minus'] = False  # Original text from [Lidi Huo], commercial转载 please contact the author for authorization, non-commercial please retain the original link:
　from mpl_toolkits import mplot3d
　def f(x, y):
　　　　return np.sin(np.sqrt(x)　**　2　+　y　**　2))
　x = np.linspace(-6,　6,　30)
　y = np.linspace(-6,　6,　30)
　X, Y = np.meshgrid(x, y)
　Z = f(X, Y)
　fig = plt.figure()
　ax = plt.axes(projection='3d')
　ax.contour3D(X, Y, Z,　50, cmap='binary')
　ax.set_xlabel('x')
　ax.set_ylabel('y')
　ax.set_zlabel('z')
　ax.set_title('3D contour
　plt.show()

Execute the above example code to get the following results -

Matplotlib 3D wireframe plot Matplotlib 3D Plotting