matplotlib.axes.Axes.stackplot() in Python
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:
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()
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Output:
Example-2:
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()
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Last Updated :
13 Apr, 2020
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