I have a list of DataFrames that have the same columns and different values. I want to drop some columns from the list of DataFrames in one line in pandas.
For far, I tried (dfs has list of Data Frames)
dfs.drop([col for col in ['var1', 'var2'] if col in dfs], axis=1, inplace=True)
and
dfs[dfs.drop([col for col in ['var1', 'var2'] if col in dfs], axis=1, inplace=True)]
both are giving same error:
AttributeError: 'list' object has no attribute 'drop'
type(dfs)
>> list
However, when i can loop through each DataFRame from the list dfs using for loop, I can drop the columns.
How can I do it in the list comprehension way in pandas?