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Load an SPSS file from the file path, returning a DataFrame.
|
|
Parameters
|
----------
|
path : str or Path
|
File path.
|
usecols : list-like, optional
|
Return a subset of the columns. If None, return all columns.
|
convert_categoricals : bool, default is True
|
Convert categorical columns into pd.Categorical.
|
dtype_backend : {'numpy_nullable', 'pyarrow'}, default 'numpy_nullable'
|
Back-end data type applied to the resultant :class:`DataFrame`
|
(still experimental). Behaviour is as follows:
|
|
* ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame`
|
(default).
|
* ``"pyarrow"``: returns pyarrow-backed nullable :class:`ArrowDtype`
|
DataFrame.
|
|
.. versionadded:: 2.0
|
|
Returns
|
-------
|
DataFrame
|
|
Examples
|
--------
|
>>> df = pd.read_spss("spss_data.sav") # doctest: +SKIP
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Ú
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