get certain columns pandas with string
import pandas as pd
data = {'spike-2': [1,2,3], 'hey spke': [4,5,6], 'spiked-in': [7,8,9], 'no': [10,11,12]}
df = pd.DataFrame(data)
spike_cols = [col for col in df.columns if 'spike' in col]
print(list(df.columns))
print(spike_cols)get columns by type pandas
In [2]: df = pd.DataFrame({'NAME': list('abcdef'),
'On_Time': [True, False] * 3,
'On_Budget': [False, True] * 3})
In [3]: df.select_dtypes(include=['bool'])
Out[3]:
On_Budget On_Time
0 False True
1 True False
2 False True
3 True False
4 False True
5 True False
In [4]: mylist = list(df.select_dtypes(include=['bool']).columns)
In [5]: mylist
Out[5]: ['On_Budget', 'On_Time']Copyright © 2021 Codeinu
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