U
|
¬ý°dÆ ã @ sô d Z ddlmZ ddlmZmZ ddlmZ ddlm Z m
|
Z
|
m Z m Z m Z ddlmZ ddlmZ ddlmZ dd lZdd
|
lmZmZ dd lmZ dd lm Z eed dd dddddddZ eed dd dd ej fddddddd d Z d S ) z feather-format compat é )Ú annotations)ÚHashableÚSequence)Úlib)Ú DtypeBackendÚFilePathÚ
|
ReadBufferÚStorageOptionsÚ WriteBuffer)Úimport_optional_dependency)Údoc)Úcheck_dtype_backendN)Ú DataFrameÚ
|
RangeIndex)Ú _shared_docs)Ú
|
get_handleÚstorage_options)r r z FilePath | WriteBuffer[bytes]r ÚNone)ÚdfÚpathr Úreturnc K sÐ t d ddlm} t| ts&tdddh}| jjdksTt| j}td| d | j t
|
t t | ¡¡svtd
|
| jjd k rtd | jj|krtd t|d|dd}|j| |jf| W 5 Q R X d S )aK
|
Write a DataFrame to the binary Feather format.
|
|
Parameters
|
----------
|
df : DataFrame
|
path : str, path object, or file-like object
|
{storage_options}
|
|
.. versionadded:: 1.2.0
|
|
**kwargs :
|
Additional keywords passed to `pyarrow.feather.write_feather`.
|
|
.. versionadded:: 1.1.0
|
Úpyarrowr ©Úfeatherz'feather only support IO with DataFramesÚstringÚunicodeÚint64z%feather does not support serializing zG for the index; you can .reset_index() to make the index into column(s)zfeather does not support serializing a non-default index for the index; you can .reset_index() to make the index into column(s)Nz=feather does not serialize index meta-data on a default indexz%feather must have string column namesÚwbF©r Zis_text)r r r Ú
|
isinstancer Ú
|
ValueErrorÚindexZdtypeÚtypeÚequalsr Z
|
from_rangeÚrangeÚlenÚnameÚcolumnsZ inferred_typer Z write_featherÚhandle)r r r Úkwargsr Z valid_typesÚtypÚhandles© r, úOd:\z\workplace\vscode\pyvenv\venv\Lib\site-packages\pandas/io/feather_format.pyÚ
|
to_feather s8
|
|
|
ÿÿ ÿ ÿr. Tz FilePath | ReadBuffer[bytes]zSequence[Hashable] | NoneÚboolz DtypeBackend | lib.NoDefault)r r' Ú use_threadsr Ú dtype_backendc
|
C sÐ t d ddlm} t| t| d|dd}|tjkrZ|j|j|t |dW 5 Q R £ S |j
|
|j|t |d}|dkr dd l m } |j | jd
|
W 5 Q R £ S |dkrÂ|j tjd
|
W 5 Q R £ S W 5 Q R X d S ) 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}
|
|
.. versionadded:: 1.2.0
|
|
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
|
-------
|
type of object stored in file
|
r r r ÚrbFr )r' r0 Znumpy_nullable)Ú_arrow_dtype_mapping)Z types_mapperN)r r r r r r Ú
|
no_defaultÚ read_featherr( r/ Z
|
read_tableZpandas.io._utilr3 Z to_pandasÚgetÚpdZ
|
ArrowDtype) r r' r0 r r1 r r+ Zpa_tabler3 r, r, r- r5 c s4 ( ÿ
|
ÿ ÿ r5 )N) Ú__doc__Ú
|
__future__r Útypingr r Z pandas._libsr Zpandas._typingr r r r r
|
Zpandas.compat._optionalr Zpandas.util._decoratorsr Zpandas.util._validatorsr Zpandasr7 Zpandas.core.apir r Zpandas.core.shared_docsr Zpandas.io.commonr r. r4 r5 r, r, r, r- Ú<module> s( ýC û
|
