ax.contour3D()函数创建三维等高线图。它要求所有输入数据采用二维规则网格的形式,并在每个点评估Z数据。在这里,将展示三维正弦函数的三维等高线图。
示例代码
# Filename : example.py # Copyright : 2020 By Nhooo # Author by : www.niaoge.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'] # 步骤一(替换sans-serif字体) plt.rcParams['axes.unicode_minus'] = False # 原文出自【立地货】,商业转载请联系作者获得授权,非商业请保留原文链接: 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()
执行上面示例代码,得到以下结果 -