pandas groupby count as new column
In [12]: df.groupby(["item", "color"])["id"].count().reset_index(name="count")
Out[12]:
item color count
0 car black 2
1 truck blue 1
2 truck red 2
pandas groupby count as new column
In [12]: df.groupby(["item", "color"])["id"].count().reset_index(name="count")
Out[12]:
item color count
0 car black 2
1 truck blue 1
2 truck red 2
group by count dataframe
df.groupby(['col1', 'col2']).size().reset_index(name='counts')
group by count dataframe
df.groupby(['col1','col2']).size()
group by pandas count
df[['col1', 'col2', 'col3', 'col4']].groupby(['col1', 'col2']).agg(['mean', 'count'])
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