bpd.DataFrame.groupby¶

DataFrame.groupby(by)[source]¶

Group DataFrame by values in columns specified in by.

A groupby operation involves some combination of splitting the object, applying a function, and combining the results. this can be used to group large amounts of data and compute operations on these groups.

Parameters:	by (label, or list of labels) – Used to determine the groups for the groupby. Should be a label or list of labels that will group by the named columns in `self`. Notice that a tuple is interpreted a (single) key.
Returns:	df_gb – groupby object that contains information about the groups.
Return type:	DataFrameGroupBy
Raises:	`KeyError` – If by not found in columns

Examples

>>> df =bpd.DataFrame(animal=['Falcon', 'Falcon', 'Parrot', 'Parrot'],
...                   max_speed=[380, 370, 24, 26])
>>> df.groupby('animal').mean()
        max_speed
animal
Falcon      375.0
Parrot       25.0