I have the following database:

enter image description here

And I would like to know how many times a combination of BirthDate and Zipcode is repeated throughout the data table:

enter image description here

Now, my question is: How can I access the keys of this output? For instance, how can I get Birthdate=2000101 ZipCode=8002, for i = 0?

The problem is that this is a 'Series' object, so I'm not able to use .columns or .loc here.

  • $\begingroup$ BTW the first image looks like confidential data, maybe you should delete it $\endgroup$ – David Masip Feb 3 at 11:55
  • 1
    $\begingroup$ @DavidMasip No, no. It's fake! Gràcies! $\endgroup$ – Arnau Feb 3 at 14:38
  • $\begingroup$ ok my bad, did I answer your question? $\endgroup$ – David Masip Feb 3 at 15:49
  • $\begingroup$ @DavidMasip you did! thanks $\endgroup$ – Arnau Feb 4 at 17:14

You may use

df.groupby(['BirthDate', 'ZipCode']).size().reset_index().rename(columns={0: 'n'})

and now you have a data frame that you can easily manipulate.


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