回答編集履歴
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test
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groupbyを使うとできます。
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.groupby.html
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---
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サンプルコード
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```python
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import pandas as pd
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import numpy as np
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import matplotlib.pyplot as plt
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df = pd.DataFrame()
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df['A'] = np.random.randint(2, size=(1000))
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df['B'] = np.random.rand(1000)
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ax = plt.subplot()
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hist = df.groupby('A').hist(bins=np.linspace(0., 1., 10), ax=ax, alpha=0.5)
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plt.show()
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```
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