matplotlib.pyplot.contourf()函数

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Pyplot是一个基于状态的Matplotlib模块接口，该模块提供了一个类似matlab的接口。

matplotlib.pyplot.contourf()函数

使用matplotlib库pyplot模块中的contourf()函数绘制轮廓。但是等高线画填充的等高线，而等高线画等高线。

语法:matplotlib.pyplot.contourf(\args, data=None， \\*kwargs)

参数:该方法接受如下参数说明:

• X, Y:这些参数是Z中值的坐标。
• Z:这个参数是轮廓被绘制的高度值。
• 级别:用于确定等高线/区域的数量和位置。

返回如下内容:

• c:返回QuadContourSet。

下面的例子演示了matplotlib.pyplot.contourf()函数在matplotlib.pyplot中的作用:

示例1

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
from numpy import ma
from matplotlib import ticker, cm
   
N = 1000
x = np.linspace(-6.0, 6.0, N)
y = np.linspace(-7.0, 7.0, N)
X, Y = np.meshgrid(x, y)
   
Z1 = np.exp(X * Y)
z = 50 * Z1
z[:5, :5] = -1
z = ma.masked_where(z <= 0, z)
   
cs = plt.contourf(X, Y, z,
                  locator = ticker.LogLocator(),
                  cmap ="bone")
  
cbar = plt.colorbar(cs)
  
plt.title('matplotlib.pyplot.contourf() Example')
plt.show()

输出:

示例2

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
   
# invent some numbers, turning 
# the x and y arrays into simple
# 2d arrays, which make combining 
# them together easier.
x = np.linspace(-3, 15, 50).reshape(1, -1)
y = np.linspace(-3, 15, 20).reshape(-1, 1)
z = np.cos(x)*2 - np.sin(y)*2
  
# we no longer need x and y to
# be 2 dimensional, so flatten them.
x, y = x.flatten(), y.flatten()
   
cs = plt.contourf(x, y, z, 
                  hatches =['-', '/',
                            '\\', '//'],
                  cmap ='Greens',
                  extend ='both',
                  alpha = 1)
  
plt.colorbar(cs)
  
plt.title('matplotlib.pyplot.contourf() Example')
plt.show()

输出: