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How can I delete rows in a pandas dataframe that match multiple conditions for one column?

I have a pandas dataframe that contains data for a customer and a sale. I need to modify the data so that for each accountid a sale occurs only once.
AccountId SaleDate
34 9/5/2012
34 10/10/2012
34 9/25/2013
47 12/10/2013
34 1/9/2014
34 11/8/2014
49 10/9/2014
47 11/10/2014
49 1/17/2015

A:

You can apply groupby and filter_duplicates:
In [16]:
df[df.groupby(‘AccountId’).filter(lambda x: len(x) == 1).SaleDate == 1]

Out[16]:
37a470d65a

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