h\SrSSKJr SSKJrJr SSKJr SSKJ r SSK J r SSK J r SSKJr SS KJr SS KJr SS KJr SS KJr \(aSS KJrJr SSKJrJrJrJrJ r \ "\SS9SSSjj5r!\ "\SS9SSS\ RD4SSjj5r#g)zfeather-format compat ) annotations) TYPE_CHECKINGAny)using_string_dtype)lib)import_optional_dependency)doc)check_dtype_backend) DataFrame) _shared_docs)arrow_table_to_pandas) get_handle)HashableSequence) DtypeBackendFilePath ReadBufferStorageOptions WriteBufferstorage_options)rNc [S5 SSKJn [U[5(d [ S5e[ USUSS9nUR"XR40UD6 SSS5 g!,(df  g=f) z Write a DataFrame to the binary Feather format. Parameters ---------- df : DataFrame path : str, path object, or file-like object {storage_options} **kwargs : Additional keywords passed to `pyarrow.feather.write_feather`. pyarrowrfeatherz'feather only support IO with DataFrameswbFris_textN) rrr isinstancer ValueErrorr write_featherhandle)dfpathrkwargsrhandless \C:\Users\psant\Downloads\Noiseback\school\venv\Lib\site-packages\pandas/io/feather_format.py to_featherr'%sc&y) b) $ $BCC  dOU  b..;F;   s A%% A3Tc[S5 SSKJn SSKn[ U5 [ USUSS9nU[ RLa<[5(d-URURU[U5S9sSSS5 $URURU[U5S9n[XS 9sSSS5 $!,(df  g=f) a Load a feather-format object from the file path. Parameters ---------- path : str, path object, or file-like object String, path object (implementing ``os.PathLike[str]``), or file-like object implementing a binary ``read()`` function. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. A local file could be: ``file://localhost/path/to/table.feather``. columns : sequence, default None If not provided, all columns are read. use_threads : bool, default True Whether to parallelize reading using multiple threads. {storage_options} dtype_backend : {{'numpy_nullable', 'pyarrow'}}, default 'numpy_nullable' Back-end data type applied to the resultant :class:`DataFrame` (still experimental). Behaviour is as follows: * ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame` (default). * ``"pyarrow"``: returns pyarrow-backed nullable :class:`ArrowDtype` DataFrame. .. versionadded:: 2.0 Returns ------- type of object stored in file Examples -------- >>> df = pd.read_feather("path/to/file.feather") # doctest: +SKIP rrrNrbFr)columns use_threads) dtype_backend)rrr(pandas.core.arrays.arrow.extension_typesr rr no_defaultr read_featherr!bool read_tabler ) r#r*r+rr,rpandasr%pa_tables r&r/r/DsVy)4 &  dOU   CNN *3E3G3G''T+=N(   %% NNGk9J& %XK   sAB3=,B33 C)N) r"r r#zFilePath | WriteBuffer[bytes]rStorageOptions | Noner$rreturnNone) r#zFilePath | ReadBuffer[bytes]r*zSequence[Hashable] | Noner+r0rr4r,zDtypeBackend | lib.NoDefaultr5r )$__doc__ __future__rtypingrrpandas._configr pandas._libsrpandas.compat._optionalrpandas.util._decoratorsr pandas.util._validatorsr pandas.core.apir pandas.core.shared_docsr pandas.io._utilr pandas.io.commonrcollections.abcrrpandas._typingrrrrrr'r.r/r&rGs" .>'7%01' \"345.2<< '<+< <  <6<<\"345*.-125.. =L &=L &=L=L+ =L 0 =L  =L6=LrF