I am using Pandas as a database substitute as I have multiple databases (Oracle, SQL Server, etc.), and I am unable to make a sequence of commands to a SQL equivalent.
I have a table loaded in a DataFrame with some columns:
YEARMONTH, CLIENTCODE, SIZE, etc., etc.
In SQL, to count the amount of different clients per year would be:
SELECT count(distinct CLIENTCODE) FROM table GROUP BY YEARMONTH;
And the result would be
201301 5000
201302 13245
How can I do that in Pandas?
