pandas@b0f9a10 (original) (raw)

`@@ -7034,8 +7034,12 @@ def clip_lower(self, threshold, axis=None, inplace=False):

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`def groupby(self, by=None, axis=0, level=None, as_index=True, sort=True,

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`group_keys=True, squeeze=False, observed=False, **kwargs):

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`"""

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Group series using mapper (dict or key function, apply given function

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to group, return result as series) or by a series of columns.

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Group DataFrame or Series using a mapper or by a Series of columns.

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+

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A groupby operation involves some combination of splitting the

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object, applying a function, and combining the results. This can be

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used to group large amounts of data and compute operations on these

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groups.

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` Parameters

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` ----------

`@@ -7048,54 +7052,95 @@ def groupby(self, by=None, axis=0, level=None, as_index=True, sort=True,

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` values are used as-is determine the groups. A label or list of

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``` labels may be passed to group by the columns in self. Notice

```

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` that a tuple is interpreted a (single) key.

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axis : int, default 0

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axis : {0 or 'index', 1 or 'columns'}, default 0

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Split along rows (0) or columns (1).

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` level : int, level name, or sequence of such, default None

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` If the axis is a MultiIndex (hierarchical), group by a particular

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level or levels

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as_index : boolean, default True

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level or levels.

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as_index : bool, default True

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` For aggregated output, return object with group labels as the

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` index. Only relevant for DataFrame input. as_index=False is

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effectively "SQL-style" grouped output

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sort : boolean, default True

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effectively "SQL-style" grouped output.

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sort : bool, default True

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` Sort group keys. Get better performance by turning this off.

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` Note this does not influence the order of observations within each

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group. groupby preserves the order of rows within each group.

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group_keys : boolean, default True

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When calling apply, add group keys to index to identify pieces

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squeeze : boolean, default False

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reduce the dimensionality of the return type if possible,

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otherwise return a consistent type

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observed : boolean, default False

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This only applies if any of the groupers are Categoricals

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group. Groupby preserves the order of rows within each group.

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group_keys : bool, default True

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When calling apply, add group keys to index to identify pieces.

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squeeze : bool, default False

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Reduce the dimensionality of the return type if possible,

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otherwise return a consistent type.

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observed : bool, default False

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This only applies if any of the groupers are Categoricals.

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` If True: only show observed values for categorical groupers.

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` If False: show all values for categorical groupers.

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` .. versionadded:: 0.23.0

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**kwargs

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Optional, only accepts keyword argument 'mutated' and is passed

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to groupby.

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+

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` Returns

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` -------

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GroupBy object

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DataFrameGroupBy or SeriesGroupBy

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Depends on the calling object and returns groupby object that

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contains information about the groups.

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Examples

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