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Count frequency when value in column A is lower than column B

I am trying to count occurrences that values in column A are lower than another column (column B)in Python.

Thanks in advance!

Create boolean mask by Series.lt and use sum :

a = df.A.lt(df.B).sum()

Alternative:

a = (df.A < df.B).sum()

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