get columns based on dtype pandas

1>>df.select_dtypes(include='object').columns
2
3Index(['C', 'D'], dtype='object')
4

1In [2]: df = pd.DataFrame({'NAME': list('abcdef'),
2    'On_Time': [True, False] * 3,
3    'On_Budget': [False, True] * 3})
4
5In [3]: df.select_dtypes(include=['bool'])
6Out[3]:
7  On_Budget On_Time
80     False    True
91      True   False
102     False    True
113      True   False
124     False    True
135      True   False
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15In [4]: mylist = list(df.select_dtypes(include=['bool']).columns)
16
17In [5]: mylist
18Out[5]: ['On_Budget', 'On_Time']
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