标签 python matplotlib
<分区>
以下代码借自here :
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2
fig, ax = plt.subplots()
CS = ax.contour(X, Y, Z)
ax.clabel(CS, inline=True, fontsize=10)
ax.set_title('Simplest default with labels')
以上代码生成具有 7 条等高线的等高线图。如何绘制值为 0.5 的单个轮廓线？
以上代码的输出为:
最佳答案
只需添加轮廓值:CS = ax.contour(X, Y, Z, [0.5])
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2
fig, ax = plt.subplots()
CS = ax.contour(X, Y, Z, [0.5])
ax.clabel(CS, inline=True, fontsize=10)
ax.set_title('Simplest default with labels')
plt.show()
关于python - 如何在 Matplotlib 中绘制单条等高线，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/69792774/