1

Here is what I have done:

df = pd.DataFrame(data={'in':[2, 2, 3, 4], 'out':[2,2,4,4]}) in_out=df.groupby(['in','out']).size()

I got results:

in out 2 2 2 3 4 1 4 4 1 dtype: int64

How do I turn the results into a dataframe with columns in, out and count?

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1 Answer 1

Reset to default
1

Use reset_index with parameter name:

df = pd.DataFrame(data={'in':[2, 2, 3, 4], 'out':[2,2,4,4]}) in_out=df.groupby(['in','out']).size().reset_index(name='count') print in_out in out count 0 2 2 2 1 3 4 1 2 4 4 1
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