matplotlib.axes.Axes.stackplot() in Python

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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.stackplot() Function

The Axes.stackplot() function in axes module of matplotlib library is used to create a stacked area 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.

Below examples illustrate the matplotlib.axes.Axes.stackplot() function in matplotlib.axes:

Example-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() 

Output:

Example-2:

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
  
  
def GFG(n, m): 
      
    def zambiatek(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): 
            zambiatek(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() 