Group by pandas count

Group by count dataframe

df.groupby(['col1', 'col2']).size().reset_index(name='counts')

Source: stackoverflow.com

Group by count dataframe

df.groupby(['col1','col2']).size()

Source: stackoverflow.com

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

Source: stackoverflow.com

Group by pandas count

df[['col1', 'col2', 'col3', 'col4']].groupby(['col1', 'col2']).agg(['mean', 'count'])

Source: stackoverflow.com

GroupBy Count

$count = Reserve::groupBy('day')->count();

Source: edureka.co

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