pandas@be170fc (original) (raw)

`@@ -379,12 +379,6 @@

379

`merge_asof : Merge on nearest keys.

380

`DataFrame.join : Similar method using indices.

381

382

Notes

383

384

`` -

Support for specifying index levels as the on, left_on, and

385

`` -

right_on parameters was added in version 0.23.0

386

Support for merging named Series objects was added in version 0.24.0

387

-

388

382

`Examples

389

383

`--------

390

384

`>>> df1 = pd.DataFrame({'lkey': ['foo', 'bar', 'baz', 'foo'],

`@@ -1501,7 +1495,7 @@ def dot(self, other: AnyArrayLike | DataFrame) -> DataFrame | Series:

1501

1495

` This method computes the matrix product between the DataFrame and the

1502

1496

` values of an other Series, DataFrame or a numpy array.

1503

1497

1504


 It can also be called using ``self @ other`` in Python >= 3.5.

1498


 It can also be called using ``self @ other``.

1505

1499

1506

1500

` Parameters

1507

1501

` ----------

`@@ -1619,13 +1613,13 @@ def matmul(self, other: AnyArrayLike | DataFrame) -> DataFrame | Series:

1619

1613

1620

1614

`def matmul(self, other: AnyArrayLike | DataFrame) -> DataFrame | Series:

1621

1615

`"""

1622

`` -

Matrix multiplication using binary @ operator in Python>=3.5.

1616

`` +

Matrix multiplication using binary @ operator.

1623

1617

` """

1624

1618

`return self.dot(other)

1625

1619

1626

1620

`def rmatmul(self, other) -> DataFrame:

1627

1621

`"""

1628

`` -

Matrix multiplication using binary @ operator in Python>=3.5.

1622

`` +

Matrix multiplication using binary @ operator.

1629

1623

` """

1630

1624

`try:

1631

1625

`return self.T.dot(np.transpose(other)).T

`@@ -2700,8 +2694,8 @@ def to_feather(self, path: FilePath | WriteBuffer[bytes], **kwargs) -> None:

2700

2694

` it will be used as Root Directory path when writing a partitioned dataset.

2701

2695

` **kwargs :

2702

2696

`` Additional keywords passed to :func:pyarrow.feather.write_feather.

2703

`` -

Starting with pyarrow 0.17, this includes the compression,

2704

`` -

compression_level, chunksize and version keywords.

2697

`` +

This includes the compression, compression_level, chunksize

2698

`` +

and version keywords.

2705

2699

2706

2700

` .. versionadded:: 1.1.0

2707

2701

`@@ -4631,8 +4625,8 @@ def select_dtypes(self, include=None, exclude=None) -> Self:

4631

4625

``` * To select timedeltas, use np.timedelta64, 'timedelta' or


`4632`

`4626`

```  ``'timedelta64'``

4633

4627

``` * To select Pandas categorical dtypes, use 'category'


`4634`

``

``` -

* To select Pandas datetimetz dtypes, use ``'datetimetz'`` (new in

4635


0.20.0) or ``'datetime64[ns, tz]'``

4628


 * To select Pandas datetimetz dtypes, use ``'datetimetz'``

4629


 or ``'datetime64[ns, tz]'``

4636

4630

4637

4631

` Examples

4638

4632

` --------

`@@ -9983,9 +9977,6 @@ def join(

9983

9977

`` Parameters on, lsuffix, and rsuffix are not supported when

9984

9978

`` passing a list of DataFrame objects.

9985

9979

9986

`` -

Support for specifying index levels as the on parameter was added

9987

in version 0.23.0.

9988

-

9989

9980

` Examples

9990

9981

` --------

9991

9982

` >>> df = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3', 'K4', 'K5'],