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 Get rows with same value from dataframe of particular columns
I have a dataframe with a lot of columns with binary values.

Is it possible to count the number of rows that satisfy a condition

ex: the number of rows for Col1 and Col2 that are both 1 is 2

similarly the number of rows for Col1 and Col2 that are 0 and 1 is 1

Is there an easy way to do this rather than looping all over the dataframe?
import pandas as pd
z = pd.DataFrame({'Col1': [1,0,1,1,0,0,1], 'Col2': [0,1,1,1,0,1,0]})

# The number of rows, where both Col1 and Col2 == 0

# The number of rows, where Col1==0 and Col2 == 1

# The number of rows, where both Col1 and Col2 == 1

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