100% area plot of a pandas DataFrame

Question

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

from this post?

Answer 1

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