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Drop columns whose name contains a specific string from pandas DataFrame
... 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 0.741412
...
How to remove illegal characters from path and filenames?
...ast to int: 34,60,62,124,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,58,42,63,92,47 34,60,62,124,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31
– Sarel Botha
Apr 11 '11 at 18:12
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answered Dec 19 '13 at 20:54
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I just found out that the following works:
https://www.youtube.com/embed/[video_id]?start=...