Python中的 Matplotlib.pyplot.contour()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Pyplot是Matplotlib模块的基于状态的接口，它提供了一个类似 MATLAB 的接口。

matplotlib.pyplot.contour()函数

matplotlib 库的 pyplot 模块中的contour()函数用于绘制等高线。

Syntax: matplotlib.pyplot.contour(\*args, data=None, \*\*kwargs)

Parameters: This method accept the following parameters that are described below:

X, Y: These parameter are the coordinates of the values in Z.
Z : This parameter is the height values over which the contour is drawn.
levels : This parameter is used to determine the numbers and positions of the contour lines / regions.

Returns: This returns the following:

c :This returns the QuadContourSet.

编程需要懂一点英语

下面的示例说明了 matplotlib.pyplot 中的 matplotlib.pyplot.contour()函数：

示例 #1：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib
   
delta = 0.15
x = np.arange(1.5, 2.5, delta)
y = np.arange(1.0, 3.0, delta)
X, Y = np.meshgrid(x, y)
Z = (np.exp(X - Y))
  
  
CS1 = plt.contour(X, Y, Z)
   
fmt = {}
strs = ['1', '2', '3', '4', '5', '6', '7']
for l, s in zip(CS1.levels, strs):
    fmt[l] = s
plt.clabel(CS1, CS1.levels, inline = True,
           fmt = fmt, fontsize = 10)
  
plt.title('matplotlib.pyplot.contour() Example')
plt.show()

输出：

示例 #2：

# Implementation of matplotlib function
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
   
delta = 0.25
x = np.arange(-3.0, 5.0, delta)
y = np.arange(-1.3, 2.5, delta)
X, Y = np.meshgrid(x, y)
Z = (np.exp(-X**2 - Y**2) - np.exp(-(X - 1)**2 - (Y - 1)**2))
   
fig, ax = plt.subplots()
im = ax.imshow(Z, interpolation ='bilinear',
               origin ='lower',
               cmap ="bone", 
               extent =(-3, 3, -2, 2))
  
levels = np.arange(-1.2, 1.6, 0.2)
CS = ax.contour(Z, levels, 
                origin ='lower',
                cmap ='Greens',
                linewidths = 2,
                extent =(-3, 3, -2, 2))
  
zc = CS.collections[6]
plt.setp(zc, linewidth = 2)
   
ax.clabel(CS, levels,
          inline = 1, 
          fmt ='% 1.1f',
          fontsize = 14)
  
plt.title('matplotlib.pyplot.contour() Example')
plt.show()

输出：