python - Unique Value Index from two fields -

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i'm new pandas , python, , use help.

i have code below, want. creates dummy variables unique values in field , indexes them unique combinations of unique values in 2 other fields.

what 1 row each unique combination of fields used index. right multiple rows 'asset subs end dt' = 10/30/2008 , 'reseller csn' = 55008 if dummy variable comes 3 times. rather have 1 row combination of index field values 3 in dummy variable column.

code:  df = data  df = df.set_index(['asset_subs_end_dt','reseller_csn'])  dummies=pd.get_dummies(df['expertise'])

something like:

df.groupby(level=[0, 1]).expertise.count()

when groupby, same index grouped together. assuming data in expertise notnull, new dataframe returned unique index values , count per each index. try out yourself, play around results, , see how can combined existing dataframe final result want.


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