Slicing multiple ranges of columns in Pandas, by list of names

Question

I am trying to select multiple columns in a Pandas dataframe in two different approaches:

1)via the columns number, for examples, columns 1-3 and columns 6 onwards.<

Answer 1

I’m not sure what exactly you are asking but in general DataFrame.loc allows you to select by label, DataFrame.iloc by index.

For example selecting columns # 0, 1 and 4:

dataframe.iloc[:, [0, 1, 4]]

and selecting columns labelled 'A', 'B' and 'C':

dataframe.loc[:, ['A', 'B', 'C']]