dropping empty columns in pandas 0.23+ [duplicate]

Answer 1

You can get the columns that are not null and then filter your DataFrame on those.

Here's an example

non_null_columns = [col for col in df.columns if df.loc[:, col].notna().any()]
df[non_null_columns]

Answer 2

I am able to drop empty columns using dropna() with the current version of Pandas (0.23.4). The code I used is:

df.dropna(how='all', axis=1)

Looks like what is deprecated is passing multiple axes at once (i.e. df.dropna(how='all', axis = [0, 1]). You can read here that they made this decision - "let's deprecate passing multiple axes, we don't do this for any other pandas functions".