Python中的 matplotlib.axes.Axes.stackplot()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Axes 类包含大部分图形元素：Axis、Tick、Line2D、Text、Polygon 等，并设置坐标系。 Axes 的实例通过回调属性支持回调。

matplotlib.axes.Axes.stackplot()函数

matplotlib 库的 axes 模块中的Axes.stackplot()函数用于创建堆叠区域 plo。

Syntax: Axes.stackplot(axes, x, *args, labels=(), colors=None, baseline=’zero’, data=None, **kwargs)

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

• x: This parameter is the sequence of x coordinates.
• y: This parameter is the sequence of y coordinates.
• baseline: This parameter is the base line{‘zero’, ‘sym’, ‘wiggle’, ‘weighted_wiggle’}.
• colors: This parameter is the list or tuple of colors.
• label: This parameter is the label to assign to each data series.

Returns: This returns the following:

• list: This returns the list of PolyCollection instances, one for each element in the stacked area plot.

下面的示例说明了 matplotlib.axes 中的 matplotlib.axes.Axes.stackplot()函数：

示例 1：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
x = [1, 2, 3, 4, 5]
y1 = [1, 1, 2, 3, 5]
y2 = [0, 4, 2, 6, 8]
y3 = [1, 3, 5, 7, 9]
  
y = np.vstack([y1, y2, y3])
  
labels = ["Geeks1 ", "Geeks2", "Geeks3"]
  
fig, ax = plt.subplots()
ax.stackplot(x, y1, y2, y3, 
             labels = labels)
  
ax.legend(loc ='upper left')
  
ax.set_title('matplotlib.axes.Axes.stackplot Example')
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
  
def GFG(n, m):
      
    def geeks(a):
        x = 1 / (.1 + np.random.random())
        y = 2 * np.random.random() - .5
        z = 10 / (.1 + np.random.random())
          
        for i in range(m):
            w = (i / m - y) * z
            a[i] += x * np.exp(-w * w)
              
    a = np.zeros((m, n))
      
    for i in range(n):
        for j in range(5):
            geeks(a[:, i])
              
    return a
  
  
test = GFG(3, 100)
  
fig, ax = plt.subplots()
ax.stackplot(range(100), test.T,
             baseline ='wiggle')
  
ax.set_title('matplotlib.axes.Axes.stackplot Example')
plt.show()