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Code Sample, a copy-pastable example

import pandas as pd import matplotlib.pyplot as plt df0 = pd.DataFrame([{'a': 10, 'b': 12}, {'a': 13, 'b': 9}]) df1 = pd.DataFrame([{'a': 100, 'b': 120}, {'a': 130, 'b': 90}]) fig, (axes_0, axes_1) = plt.subplots(1, 2, figsize=(12, 6), sharey='row') df0.plot(ax=axes_0, kind='area') df1.plot(ax=axes_1, kind='area')

Problem description

The area plot overwrites matplotlib's share y axes behaviour if sharey parameter is not passed to .plot and as a result the second plot get's cut off.

Expected Output

same plot made directly with matplotlib, expected behaviour:

fig, (axes_0, axes_1) = plt.subplots(1, 2, figsize=(12, 6), sharey='row') axes_0.stackplot(df0.index, df0['a'], df0['b']) axes_1.stackplot(df1.index, df1['a'], df1['b'])