pandas remove char from column
df['result'] = df['result'].str.replace(r'\D', '')
df
time result
1 09:00 52
2 10:00 62
3 11:00 44
4 12:00 30
5 13:00 110pandas remove char from column
df['result'] = df['result'].str.replace(r'\D', '')
df
time result
1 09:00 52
2 10:00 62
3 11:00 44
4 12:00 30
5 13:00 110remove columns that contain string pandas
df = df[df.columns.drop(list(df.filter(regex='Test')))]drop portion of string in dataframe python
data['result'] = data['result'].map(lambda x: x.lstrip('+-').rstrip('aAbBcC'))remove columns that contain string pandas
import pandas as pd
import numpy as np
array=np.random.random((2,4))
df=pd.DataFrame(array, columns=('Test1', 'toto', 'test2', 'riri'))
print df
Test1 toto test2 riri
0 0.923249 0.572528 0.845464 0.144891
1 0.020438 0.332540 0.144455 0.741412
cols = [c for c in df.columns if c.lower()[:4] != 'test']
df=df[cols]
print df
toto riri
0 0.572528 0.144891
1 0.332540 0.741412Copyright © 2021 Codeinu
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