I have a dataset, df, where I would like to group by one column, reveal the counts of each unique value and display the proper column.
data
Id location
e-db ny
e-db ny
e-db ny
f-a ny
f-a ny
gr-x ca
desired
Id location count
e-db ny 3
f-a ny 2
gr-x ca 1
doing
df.groupby('location')['Id'].nunique()
However, this is not showing me the unique Id's and the actual value. Any suggestion is appreciated
You can also do this:
df2 = pd.DataFrame()
df2['location'] = df.groupby('Id')['location'].nth(0)
df2['count'] = df.groupby('Id').count()
Output:
Id location count
e-db ny 3
f-a ny 2
gr-x ca 1
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