o ņ©Zhūć@sLddlmZddlmZmZddlZddlZddl Z d dd„Z d dd„Z dS) é)Ś OrderedDict)ŚdateŚtimeNFc Csšdt ”fdt ”fdt ”fdt ”fdt ”fdt ”fdt ”fdt ”fd t  ”fd t  ”fg }t ƒ}g}|D]'\}}|  t  |t |”””tjd |d tjd |d dtjd|d g||<q;|  t  dt t ””””tjddgdd dtjdgdd tjgd¢dd g|d<|  t  dt t d””””tjgd¢dd ddtjgd¢dd g|d<|ræ|  t  dt ”””t |”}t |”}||fS)zå Dataframe with numpy arrays columns of every possible primitive type. Returns ------- df: pandas.DataFrame schema: pyarrow.Schema Arrow schema definition that is in line with the constructed df. Śi1Śi2Śi4Śi8Śu1Śu2Zu4Śu8Zf4Zf8é ©ŚdtypeéNéŚstrŚ1õƤŚobject©rŚ2Ś3Z datetime64Śms)z2007-07-13T01:23:34.123456789Nś2010-08-13T05:46:57.437699912zdatetime64[ms])z 2007-07-13T02NrŚ__index_level_0__)ŚpaZint8Zint16Zint32Śint64Zuint8Zuint16Zuint32Zuint64Zfloat32Śfloat64rŚappendŚfieldŚlist_ŚnpZarangeŚstringŚarrayŚ timestampŚpdŚ DataFrameŚschema)Ś include_indexZdtypesŚarraysŚfieldsrZ arrow_dtypeŚdfr'©r,śT/var/www/html/lang_env/lib/python3.10/site-packages/pyarrow/tests/pandas_examples.pyŚdataframe_with_arrayssH ü     üü ż żł   r.c Cs€tƒ}g}| t dt t ””””gd¢gd¢dgtjgd¢dtjdddd…g|d<| t dt t ””””gd¢gd ¢dgt gd¢d”ddd…g|d<| t d t t  ””””d d gdd ggd ¢gg|d <| t dt t  ””””ddgddggd¢gg|d<gt dddƒt dddƒgt dddƒgdt dddƒt dddƒgg}t dddƒt dddƒt dd d ƒggt d!d"d ƒgdt d#d#d#ƒt d$d#dƒt dddƒgg}t  ”|ft ”|ft d%”|ft d&”|ft d'”|fg}|s|t d(”|fg7}|D]\}}d) |”} t |”} t | | ”} | | ”||| <q|r2| t d*t ”””t |”} t |”} | | fS)+a) Dataframe with list columns of every possible primitive type. Returns ------- df: pandas.DataFrame schema: pyarrow.Schema Arrow schema definition that is in line with the constructed df. parquet_compatible: bool Exclude types not supported by parquet r) rréééréééé )rrr/r0r1Nr/r Śdouble) ēēš?ē@ē@ē@g@g@g@g @g"@)r7r8r9r:r;Z bytes_listó1óf)r<ó2ó3Zstr_listrrriārišé éiŠr2r3i±r5i“r0éé é;érréŚsrŚusŚnsz{}_listr)rrrrr rr!r#rŚbinaryr"rrZdate32Zdate64Ztime32Ztime64Śformatr%r&r')r(Zparquet_compatibler)r*Z date_dataZ time_dataZtemporal_pairsZ value_typeŚdataŚ field_nameZ field_typerr+r'r,r,r-Śdataframe_with_listsSs† ’’ūūūū  ū   ū    ū ’        rN)F)FF) Ś collectionsrŚdatetimerrŚnumpyr!Zpandasr%Zpyarrowrr.rNr,r,r,r-Śs  9