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In pandas' documentation you can find a discussion on area plots, and in particular stacking them. Is there an easy and straightforward way to get a 100% area stack plot like this one

enter image description here

from this post?

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Dror
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1 Answers1

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The method is basically the same as in the other SO answer; divide each row by the sum of the row:

df = df.divide(df.sum(axis=1), axis=0)

Then you can call df.plot(kind='area', stacked=True, ...) as usual.

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
np.random.seed(2015)

y = np.random.randint(5, 50, (10,3))
x = np.arange(10)
df = pd.DataFrame(y, index=x)

df = df.divide(df.sum(axis=1), axis=0)
ax = df.plot(kind='area', stacked=True, title='100 % stacked area chart')

ax.set_ylabel('Percent (%)')
ax.margins(0, 0) # Set margins to avoid "whitespace"

plt.show()

yields

enter image description here

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unutbu
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    Another possibility is `pandas.DataFrame.plot.area()` – Dror Mar 29 '17 at 08:18
  • `ax.margins(0, 0)` is fragile and frequently won't work as expected. `ax.autoscale(enable=True, axis='both', tight=True)` is better in modern matplotlib. – Mark_Anderson Oct 22 '21 at 21:37