Matplotlib.pyplot.stackplot() in Python

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.

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. 

import matplotlib.pyplot as plt

# List of Days
days = [1, 2, 3, 4, 5]

# No of Study Hours
Studying = [7, 8, 6, 11, 7]

# No of Playing Hours
playing =  [8, 5, 7, 8, 13]

# Stackplot with X, Y, colors value
plt.stackplot(days, Studying, playing,
              colors =['r', 'c'])

# Days
plt.xlabel('Days')

# No of hours
plt.ylabel('No of Hours')

# Title of Graph
plt.title('Representation of Study and \
Playing wrt to Days')

# Displaying Graph
plt.show()

Output: 

Example #2 : Using Stackplot 

import matplotlib.pyplot as plt

# List of 7-days
days = [x for x in range(0, 7)]

# List of Suspected cases
Suspected = [12, 18, 35, 50, 72, 90, 100]

# List of Cured Cases
Cured = [4, 8, 15, 22, 41, 55, 62]

# List of Number of deaths
Deaths = [1, 3, 5, 7, 9, 11, 13]

# Plot x-labels, y-label and data
plt.plot([], [], color ='blue', 
         label ='Suspected')
plt.plot([], [], color ='orange',
         label ='Cured')
plt.plot([], [], color ='brown',
         label ='Deaths')

# Implementing stackplot on data
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