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Classe « Series »

Méthode pandas.Series.view

Signature de la méthode view

def view(self, dtype: 'Dtype | None' = None) -> 'Series' 

Description

help(Series.view)

Create a new view of the Series.

.. deprecated:: 2.2.0
    ``Series.view`` is deprecated and will be removed in a future version.
    Use :meth:`Series.astype` as an alternative to change the dtype.

This function will return a new Series with a view of the same
underlying values in memory, optionally reinterpreted with a new data
type. The new data type must preserve the same size in bytes as to not
cause index misalignment.

Parameters
----------
dtype : data type
    Data type object or one of their string representations.

Returns
-------
Series
    A new Series object as a view of the same data in memory.

See Also
--------
numpy.ndarray.view : Equivalent numpy function to create a new view of
    the same data in memory.

Notes
-----
Series are instantiated with ``dtype=float64`` by default. While
``numpy.ndarray.view()`` will return a view with the same data type as
the original array, ``Series.view()`` (without specified dtype)
will try using ``float64`` and may fail if the original data type size
in bytes is not the same.

Examples
--------
Use ``astype`` to change the dtype instead.

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