Panda Python - Calculating what percentage of values are true and false out of total in boolean column

Hello I have a boolean value with True and False.

When I run a value_counts() like this

value_counts()

df['column'].value_counts()


I receive the following:

True 10718
False 1105
Name: column, dtype: int64


Is there a way to calculate what % of the total is true and what % is false?

Something like this:

True 91%
False 09%
Name: column, dtype: int64


Thank you

2 Answers
2

You can do with

df['yourcolumns'].value_counts(normalize=True).mul(100).astype(str)+'%'


I was notified that it is as simple as

df['column'].value_counts(normalize=True)


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