U
|
¬ý°d8 ã @ s¤ d dl mZ d dlmZ d dlmZmZ d dlmZ d dl m
|
Z
|
d dl m Z d dl mZ d dlmZ erd d lmZ d d
|
lmZ d d ejfd dddddddZd S )é )Ú annotations)ÚPath)Ú TYPE_CHECKINGÚSequence)Úlib)Úimport_optional_dependency)Úcheck_dtype_backend)Ú is_list_like)Ústringify_path)Ú DtypeBackend)Ú DataFrameNTz
|
str | PathzSequence[str] | NoneÚboolz DtypeBackend | lib.NoDefaultr )ÚpathÚusecolsÚconvert_categoricalsÚ dtype_backendÚreturnc C sb t d}t| |dk r0t|s(tdt|}|jt| ||d\}}|tjk r^|j |d}|S )a?
|
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"}, defaults to NumPy backed DataFrames
|
Which dtype_backend to use, e.g. whether a DataFrame should have NumPy
|
arrays, nullable dtypes are used for all dtypes that have a nullable
|
implementation when "numpy_nullable" is set, pyarrow is used for all
|
dtypes if "pyarrow" is set.
|
|
The dtype_backends are still experimential.
|
|
.. versionadded:: 2.0
|
|
Returns
|
-------
|
DataFrame
|
Ú
|
pyreadstatNzusecols must be list-like.)r Zapply_value_formats)r )
|
r r r Ú TypeErrorÚlistZread_savr
|
r Ú
|
no_defaultZconvert_dtypes)r r r r r ZdfÚ_© r úEd:\z\workplace\vscode\pyvenv\venv\Lib\site-packages\pandas/io/spss.pyÚ read_spss s ÿ
|
|
r )Ú
|
__future__r Úpathlibr Útypingr r Z pandas._libsr Zpandas.compat._optionalr Zpandas.util._validatorsr Z pandas.core.dtypes.inferencer Zpandas.io.commonr
|
Zpandas._typingr Zpandasr r r r r r r Ú<module> s ü
|
