How to perform .describe() method on variables that have boolean data type in pandas

Question

I am trying to get the summary statistics of the columns of a data frame with data type: Boolean.

When I run:df.describe() it only gives me the summary statistics for numerical (in this case float) data types. When I change it to df.describe(include=['O']), it gives me only the object data type.

In either case, the summary statistics for Boolean data types are not provided.

Any suggestion is highly appreciated.

Thanks

Answer 1

Not sure this is what you want but you can do so with a include="all" argument.

df = pd.DataFrame([[True, 1], [False, 2]])
df.describe(include="all")

        0   1
count   2   2.000000
unique  2   NaN
top     True    NaN
freq    1   NaN
mean    NaN     1.500000
std     NaN     0.707107
min     NaN     1.000000
25%     NaN     1.250000
50%     NaN     1.500000
75%     NaN     1.750000
max     NaN     2.000000

df.describe(include=[bool])  # will also work

        0
count   2
unique  2
top     True
freq    1

Reference

https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html