PYTHON

group by count dataframe

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

pandas group by count

In [4]: df.groupby(['col1', 'col2']).size().reset_index(name='counts')
Out[4]: 
  col1 col2  counts
0    A    B       4
1    C    D       3
2    E    F       2
3    G    H       1

group by count dataframe

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

groupby count pandas

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

count entries groupby

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

pandas group by count

raw_dataset.groupby('machineFailure',as_index=False).agg({"PID": "count"})

pandas groupby counts

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

groupBy Count

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