The result is:

Generate normalized stacked barplot with sample number and percentage using Python and matplotlib.pyplot

This page shows how to generate normalized stacked barplot with sample number of each bar and percentage of each data using python and matplotlib.pyplot.

See also:

Python Matplotlib Tips: Generate stacked barplot using Python and matplotlib.pyplot

This page shows how to generate stacked barplot using Python and matplotlib.pyplot.

Python Matplotlib Tips: Add sample number to stacked barplot using Python and matplotlib.pyplot

This page shows how to add sample number to stacked barplot using Python and matplotlib.pyplot.

In [1]:

import numpy as np
print('numpy: '+np.version.full_version)
import matplotlib
print('matplotlib: '+matplotlib.__version__)
import matplotlib.pyplot as plt
%matplotlib inline

numpy: 1.15.1
matplotlib: 2.2.3

Sample data

In [2]:

x = ["a","b","c","d"]
y1 = np.array([3,8,6,4])
y2 = np.array([10,2,4,3])
y3 = np.array([5,6,2,5])

# memo of sample number
snum = y1+y2+y3

# normalization
y1 = y1/snum*100.
y2 = y2/snum*100.
y3 = y3/snum*100.

In [3]:

plt.figure(figsize=(4,3))

# stack bars
plt.bar(x, y1, label='y1')
plt.bar(x, y2 ,bottom=y1,label='y2')
plt.bar(x, y3 ,bottom=y1+y2,label='y3')

# add text annotation corresponding to the percentage of each data.
for xpos, ypos, yval in zip(x, y1/2, y1):
    plt.text(xpos, ypos, "%.1f"%yval, ha="center", va="center")
for xpos, ypos, yval in zip(x, y1+y2/2, y2):
    plt.text(xpos, ypos, "%.1f"%yval, ha="center", va="center")
for xpos, ypos, yval in zip(x, y1+y2+y3/2, y3):
    plt.text(xpos, ypos, "%.1f"%yval, ha="center", va="center")
# add text annotation corresponding to the "total" value of each bar
for xpos, ypos, yval in zip(x, y1+y2+y3, snum):
    plt.text(xpos, ypos, "N=%d"%yval, ha="center", va="bottom")

plt.ylim(0,110)

plt.legend(bbox_to_anchor=(1.01,0.5), loc='center left')
plt.savefig('normalized_stacked_barplot_with_number.png', bbox_inches='tight', pad_inches=0.02)

Generate normalized stacked barplot with sample number and percentage using Python and matplotlib.pyplot