how to remove columns using indexes

Question

How do I remove columns starting from a certain index to another, I need to remove columns from 1950 to 2004?

I tried running this but it didn’t work

test = df.drop(df.iloc[:, 1:55],  axis = 1)

https://stackoverflow.com/a/48671822/1560708 <-- this does not solve your problem? — Shahan M, Nov 30 '21 at 05:34
Does this answer your question? [python dataframe pandas drop column using int](https://stackoverflow.com/questions/20297317/python-dataframe-pandas-drop-column-using-int) — Shahan M, Nov 30 '21 at 05:37

score 0 · Accepted Answer · answered Nov 30 '21 at 05:33

0

Assuming the column names are integers:

test = df.drop(list(range(1950,2005)), axis=1, errors='ignore')

For strings:

test = df.drop(list(map(str, range(1950,2005))), axis=1, errors='ignore')

answered Nov 30 '21 at 05:33

mozway

1 Answers1