Pandas Printing ALL Dtypes

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 to fix it.

Solution 1:

I tried this and worked:

df.info(verbose=True)

Solution 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'] 

Solution 3:

Do this:

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