Pandas printing ALL dtypes

Question

This seems like a very simple problem, however it\'s driving me round the bend. I\'m sure it should be solved by RTFM, but I\'ve looked at the options and I can see the one

Answer 1

Do this:

with pd.option_context('display.max_rows', None, 'display.max_columns', None):
    print(df.dtypes)

Answer 2

another way around is to group by dtype as follows:

x = df.columns.to_series().groupby(df.dtypes).groups
x
{dtype('object'): ['Date', 'Selection', 'Result'], dtype('float64'): ['profit', 'PL', 'cumPL'] 

Answer 3

I tried this and worked:

df.info(verbose=True)