Filter first row from specific grouped coulmn data

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Data:

df = pd.DataFrame({'name':['Jane','Jane','Mike','Mike','Jane','Jane','Jane',
                           'Mike','Mike','Jane','Jane','Jane'],
                   'ctg':['A','P','C','B','B','C','B','E','G','L','M','X']})

expected output:

name ctg
Jane A
Jane B
Jane L

I am new in python and i want to make new Dataframe which includes only the first row of every 'Jane' name. could you please anyone help me ?

pandas dataframe python database
1 Answers

You can use GroupBy.first on a custom group with a mask:

mask = df['name'].eq('Jane')

out = (df[mask]  # keep only Jane
        # group by consecutive names
       .groupby(df['name'].ne(df['name'].shift()).cumsum(), as_index=False)
       .first()  # first row of each group
      )

output:

   name ctg
0  Jane   A
1  Jane   B
2  Jane   L
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