Matplotlib.pyplot.stackplot() in Python (original) (raw)

Last Updated : 25 Apr, 2025

Matplotlib is a visualization library available in Python. Pyplot contains various functions that help matplotlib behave like MATLAB. It is used as matplotlib.pyplot for plotting figures, creating areas, lines, etc.

Stackplot

Among so many functions provided by pyplot one is stackplot which will be discussed in this article. Stackplot is used to draw a stacked area plot. It displays the complete data for visualization. It shows each part stacked onto one another and how each part makes the complete figure. It displays various constituents of data and it behaves like a pie chart. It has x-label, y-label, and title in which various parts can be represented by different colors.

The idea of stack plots is to show “parts to the whole” over time. It is used to represent various datasets without overlapping over each other.

Parameter Value Use
x 1-D Array It is 1 D array with N Dimensions used to give values to X-axis
y 2-D array Represents 2 D array of M*N Dimension which is unstacked.
Colors Contains List or tuple of Colors It is used to give range of colors to represent data with default value is None.
Baseline {‘zero’, ‘sym’, ‘wiggle’, ‘weighted_wiggle’} Zero means constant baseline. Sym which is symmetric around zero value. wiggle it will minimize value of the sum of squares.
**kwargs List of other keywords Other Arguments or keywords.

Syntax:

matplotlib.pyplot.stackplot(x, *args, labels=(), colors=None, baseline=’zero’, data=None, **kwargs)

Example #1 : Using Stackplot
The code describes the x-axis as number of days from Monday to Friday while Y-axis is represented by No of Study and playing time is represented by red and cyan color respectively.

Python3

import matplotlib.pyplot as plt

days = [ 1 , 2 , 3 , 4 , 5 ]

Studying = [ 7 , 8 , 6 , 11 , 7 ]

playing = [ 8 , 5 , 7 , 8 , 13 ]

plt.stackplot(days, Studying, playing,

`` colors = [ 'r' , 'c' ])

plt.xlabel( 'Days' )

plt.ylabel( 'No of Hours' )

plt.title('Representation of Study and \

Playing wrt to Days')

plt.show()

Output:

Example #2 : Using Stackplot

Python3

import matplotlib.pyplot as plt

days = [x for x in range ( 0 , 7 )]

Suspected = [ 12 , 18 , 35 , 50 , 72 , 90 , 100 ]

Cured = [ 4 , 8 , 15 , 22 , 41 , 55 , 62 ]

Deaths = [ 1 , 3 , 5 , 7 , 9 , 11 , 13 ]

plt.plot([], [], color = 'blue' ,

`` label = 'Suspected' )

plt.plot([], [], color = 'orange' ,

`` label = 'Cured' )

plt.plot([], [], color = 'brown' ,

`` label = 'Deaths' )

plt.stackplot(days, Suspected, Cured,

`` Deaths, baseline = 'zero' ,

`` colors = [ 'blue' , 'orange' ,

`` 'brown' ])

plt.legend()

plt.title( 'No of Cases' )

plt.xlabel( 'Day of the week' )

plt.ylabel( 'Overall cases' )

plt.show()

Output:
Below represents the output of graph if the value of baseline is set to zero

Below represents the output of graph if the value of baseline is set to sym

Below represents the output of graph if the value of baseline is set to wiggle

Below represents the output of graph if the value of baseline is set to weighted_wiggle

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