Ë
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nñúh» ã ó2 d Z ddlmZ ddlZddlZddlmZ ddlm Z m
|
Z
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m Z ddl Z ej rddlmZ i ddd d
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d d d dddddddddddddddd d d d d d!d"d#d$d%d&d'd(d)d*d+d,d-d.d/d0d1d2d3d4d5 ¥Z G d6 d7« Z G d8 d9« Zd<d:Zd=d;Zy)>zE
|
Utility functions and objects for implementing the interchange API.
|
é )Ú annotationsN)Úlib)Ú
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ArrowDtypeÚCategoricalDtypeÚDatetimeTZDtype)ÚDtypeObjÚnullÚnÚboolÚbÚuint8ÚCÚuint16ÚSÚuint32ÚIÚuint64ÚLÚint8ÚcÚint16Úint32ÚiÚint64ÚlÚ halffloatÚeÚfloatÚfÚdoubleÚgÚstringÚuÚ large_stringÚUÚbinaryÚzz time32[s]ÚttsÚttmÚttuÚttnÚtdDÚtdmztss:ztsm:ztsu:ztsn:ÚtDsÚtDmÚtDuÚtDn) z
|
time32[ms]z
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time64[us]z
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time64[ns]z date32[day]z
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date64[ms]z timestamp[s]z timestamp[ms]z timestamp[us]z timestamp[ns]z duration[s]z duration[ms]z duration[us]z duration[ns]c ó\ e Zd ZdZdZdZdZdZdZdZ dZ
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d Z d
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Z d Z d Zd ZdZdZdZdZdZdZdZy)Ú ArrowCTypesz¹
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Enum for Apache Arrow C type format strings.
|
|
The Arrow C data interface:
|
https://arrow.apache.org/docs/format/CDataInterface.html#data-type-description-format-strings
|
r
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r r r Úsr r r r r r r r! r# r% r, r- zts{resolution}:{tz}ztt{resolution}N)Ú__name__Ú
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__module__Ú __qualname__Ú__doc__ÚNULLÚBOOLÚINT8ÚUINT8ÚINT16ÚUINT16ÚINT32ÚUINT32ÚINT64ÚUINT64ÚFLOAT16ÚFLOAT32ÚFLOAT64ÚSTRINGÚ LARGE_STRINGÚDATE32ÚDATE64Ú TIMESTAMPÚTIME© ó úPH:\Change_password\venv_build\Lib\site-packages\pandas/core/interchange/utils.pyr3 r3 = sj ñð DØ DØ DØ EØ EØ FØ EØ FØ EØ FØGØGØGØ FØLØ FØ Fð &IØ DrM r3 c ó e Zd ZdZdZdZdZdZy)Ú
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Endiannessz.Enum indicating the byte-order of a data-type.ú<ú>ú=ú|N)r5 r6 r7 r8 ÚLITTLEÚBIGÚNATIVEÚNArL rM rN rP rP _ s Ù8à FØ
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CØ FØ BrM rP c óf t | t « rt j S | t j
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d« k( rt j S t | t « r°ddl}| j }|j j |« r d|j d|j S |j j |« r+|j d|j d d|j S t" j% t' |« d« }||S t) t | j* j- « d« }||S t | t. j0 « rt j S t3 j4 | d« r<t j6 | « d d }t j8 j; |d ¬
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« S t | t< « r8t j8 j; | j d | j ¬
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« S t | t. j> « rt j@ S tC d | d « ) a
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Represent pandas `dtype` as a format string in Apache Arrow C notation.
|
|
Parameters
|
----------
|
dtype : np.dtype
|
Datatype of pandas DataFrame to represent.
|
|
Returns
|
-------
|
str
|
Format string in Apache Arrow C notation of the given `dtype`.
|
ÚOr Nzd:ú,Útsú:ÚMÚ )Ú
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resolutionÚtzzConversion of z- to Arrow C format string is not implemented.)"Ú
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isinstancer r3 rA ÚnpÚdtyperF r ÚpyarrowÚ pyarrow_dtypeÚtypesÚ
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is_decimalÚ precisionÚscaleÚ is_timestampra ÚunitÚPYARROW_CTYPESÚgetÚstrÚgetattrÚnameÚupperÚpdÚ StringDtyper Ú is_np_dtypeÚ datetime_datarJ Úformatr Ú BooleanDtyper: ÚNotImplementedError)rd ÚpaÚpa_typeÚ
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format_strr` s rN Údtype_to_arrow_c_fmtr} h sË ô %Ô)Ô*Ü× Ñ Ð Ø "((3-Ò Ü×!Ñ!Ð!Ü E:Ô &Û à×%Ñ%Ø 88× Ñ wÔ 'Ø×)Ñ)Ð*¨!¨G¯M©M¨?Ð;Ð ;Ø XX× "Ñ " 7Ô +°·
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±
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Ð0FØ QÐ(¨¨'¯*©*¨ Ð6Ð 6Ü#×'Ñ'¬¨G« °dÓ;
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Ø Ð !Ø Ð ä e§j¡j×&6Ñ&6Ó&8¸$Ó?JØÐ ØÐä% Ô(ô ×!Ñ!Ð!ä Ô $ô ×%Ñ% eÓ,¨QÑ/°Ñ2
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Ü×$Ñ$×+Ñ+°zÀbÐ+ÓIÐIä E?Ô +Ü×$Ñ$×+Ñ+°u·z±zÀ!±}ÈÏÉÐ+ÓRÐRä E2??Ô +Ü× Ñ Ð ä
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Ø
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Ð LÐMó ð rM c óR t | j t j « sy| j j
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}t |j « dk( ry|s t d« |j « }t j || j | j | j ¬« S )aË
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Rechunk a multi-chunk pyarrow array into a single-chunk array, if necessary.
|
|
- Returns `None` if the input series is not backed by a multi-chunk pyarrow array
|
(and so doesn't need rechunking)
|
- Returns a single-chunk-backed-Series if the input is backed by a multi-chunk
|
pyarrow array and `allow_copy` is `True`.
|
- Raises a `RuntimeError` if `allow_copy` is `False` and input is a
|
based by a multi-chunk pyarrow array.
|
Né zFound multi-chunk pyarrow array, but `allow_copy` is False. Please rechunk the array before calling this function, or set `allow_copy=True`.)rd rq Úindex) rb rd rs r ÚarrayÚ _pa_arrayÚlenÚchunksÚ RuntimeErrorÚcombine_chunksÚSeriesrq r )ÚseriesÚ
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allow_copyÚ chunked_arrayÚarrs rN Ú maybe_rechunkr s ô fll¤B§M¡MÔ 2ØØLL×*Ñ*MÜ
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=× Ñ Ó AÒ%ØÙ Üð !ó
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ð
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ð
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×
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&Ñ
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&Ó
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(CÜ 99S § ¡ °6·;±;ÀfÇlÁlÔ SÐSrM )rd r Úreturnro )r z pd.Seriesr r r zpd.Series | None)r8 Ú
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__future__r ÚtypingÚnumpyrc Ú pandas._libsr Úpandas.core.dtypes.dtypesr r r Úpandasrs Ú TYPE_CHECKINGÚpandas._typingr rm r3 rP r} r rL rM rN ú<module>r sR ðñõ #ã ã å ÷ñ ó à ×ÒÝ'ð
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Ø
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Cð à
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Cð ð Sð ð cð ð
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cð ð cð ð Cð ð Sð ð Sð ð Sð ð ð ð Sð ð cð ð cð ð Cð ð cð! ð" ð# ð$ ØØØØØØØØØØØØò= ÷D ñ ÷D ñ ó5ôpTrM
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