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Polars: Blazingly fast DataFrames
=================================

Polars is a fast, open-source library for data manipulation with an expressive, typed API.

Basic usage:

   >>> import polars as pl
   >>> df = pl.DataFrame(
   ...     {
   ...         "name": ["Alice", "Bob", "Charlie"],
   ...         "age": [25, 30, 35],
   ...         "city": ["New York", "London", "Tokyo"],
   ...     }
   ... )
   >>> df.filter(pl.col("age") > 28)
   shape: (2, 3)
   â”Œâ”€â”€â”€â”€â”€â”€â”€â”€â”€â”¬â”€â”€â”€â”€â”€â”¬â”€â”€â”€â”€â”€â”€â”€â”€â”�
   â”‚ name    â”† age â”† city   â”‚
   â”‚ ---     â”† --- â”† ---    â”‚
   â”‚ str     â”† i64 â”† str    â”‚
   â•žâ•�â•�â•�â•�â•�â•�â•�â•�â•�â•ªâ•�â•�â•�â•�â•�â•ªâ•�â•�â•�â•�â•�â•�â•�â•�â•¡
   â”‚ Bob     â”† 30  â”† London â”‚
   â”‚ Charlie â”† 35  â”† Tokyo  â”‚
   â””â”€â”€â”€â”€â”€â”€â”€â”€â”€â”´â”€â”€â”€â”€â”€â”´â”€â”€â”€â”€â”€â”€â”€â”€â”˜

User Guide: https://docs.pola.rs/
Python API Documentation: https://docs.pola.rs/api/python/stable/
Source Code: https://github.com/pola-rs/polars
é    Nz$dirty_decay_ms:500,muzzy_decay_ms:-1Ú
POLARS_THPÚ1z,thp:always,metadata_thp:alwaysÚ_RJEM_MALLOC_CONFú,)Ú__register_startup_deps)ÚTYPE_CHECKINGÚAny)ÚapiÚ
exceptionsÚpluginsÚ	selectors)Úget_polars_version)Úwrap_dfÚwrap_s)ÚCatalog)ÚConfig)
Ú
from_arrowÚfrom_dataframeÚ	from_dictÚ
from_dictsÚ
from_numpyÚfrom_pandasÚfrom_recordsÚ	from_reprÚ
from_torchÚjson_normalize)Ú	DataFrame)ÚDataTypeExpr)#ÚArrayÚBaseExtensionÚBinaryÚBooleanÚCategoricalÚ
CategoriesÚDataTypeÚDateÚDatetimeÚDecimalÚDurationÚEnumÚ	ExtensionÚFieldÚFloat16ÚFloat32ÚFloat64ÚInt8ÚInt16ÚInt32ÚInt64ÚInt128ÚListÚNullÚObjectÚStringÚStructÚTimeÚUInt8ÚUInt16ÚUInt32ÚUInt64ÚUInt128ÚUnknownÚUtf8)Úget_extension_typeÚregister_extension_typeÚunregister_extension_type)ÚExpr)[Úalign_framesÚallÚall_horizontalÚanyÚany_horizontalÚapprox_n_uniqueÚarangeÚarctan2Úarctan2dÚarg_sort_byÚ	arg_whereÚbusiness_day_countÚcoalesceÚcolÚcollect_allÚcollect_all_asyncÚconcatÚ
concat_arrÚconcat_listÚ
concat_strÚcorrÚcountÚcovÚ	cum_countÚcum_foldÚ
cum_reduceÚcum_sumÚcum_sum_horizontalÚdateÚ
date_rangeÚdate_rangesÚdatetimeÚdatetime_rangeÚdatetime_rangesÚdtype_ofÚdurationÚelementÚescape_regexÚexcludeÚexplain_allÚfieldÚfirstÚfoldÚformatÚ
from_epochÚgroupsÚheadÚimplodeÚ	int_rangeÚ
int_rangesÚlastÚlenÚlinear_spaceÚlinear_spacesÚlitÚmap_batchesÚ
map_groupsÚmaxÚmax_horizontalÚmeanÚmean_horizontalÚmedianÚmerge_sortedÚminÚmin_horizontalÚn_uniqueÚnthÚonesÚquantileÚreduceÚrepeatÚrolling_corrÚrolling_covÚ	row_indexÚselectÚ
self_dtypeÚset_random_seedÚsql_exprÚstdÚstructÚstruct_with_fieldsÚsumÚsum_horizontalÚtailÚtimeÚ
time_rangeÚtime_rangesÚunionÚvarÚwhenÚzeros)ÚCompatLevel)ÚFileProviderArgsÚPartitionByÚScanCastOptionsÚdeferÚ	read_avroÚread_clipboardÚread_csvÚread_csv_batchedÚread_databaseÚread_database_uriÚ
read_deltaÚ
read_excelÚread_ipcÚread_ipc_schemaÚread_ipc_streamÚ	read_jsonÚ
read_linesÚread_ndjsonÚread_odsÚread_parquetÚread_parquet_metadataÚread_parquet_schemaÚscan_csvÚ
scan_deltaÚscan_icebergÚscan_ipcÚ
scan_linesÚscan_ndjsonÚscan_parquetÚscan_pyarrow_dataset)ÚCredentialProviderÚCredentialProviderAWSÚCredentialProviderAzureÚCredentialProviderFunctionÚ CredentialProviderFunctionReturnÚCredentialProviderGCP)Ú	GPUEngineÚ	LazyFrameÚQueryOptFlags)Ú
build_infoÚget_index_typeÚshow_versionsÚthread_pool_sizeÚthreadpool_size)ÚSchema)ÚSeries)Ú
SQLContextÚsql)ÚStringCacheÚdisable_string_cacheÚenable_string_cacheÚusing_string_cacheÚ__version__)Ér
   r   r   r   r   rE   rÇ   rÏ   rÆ   rÎ   r   r   r    r!   r"   r#   r$   r%   r&   r'   r(   r)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   r4   r5   r6   r7   r8   r9   r:   r;   r<   r=   r>   r?   r@   rA   rC   rD   rB   r¥   r¢   r£   r¤   r¦   r§   r¨   r©   rª   r«   r¬   r­   r®   r¯   r°   r±   r²   r³   r´   rµ   r¶   r·   r¸   r¹   rº   r»   r¼   r½   r¾   r¿   r   rÀ   rÁ   rÂ   rÃ   rÄ   rÅ   rÒ   rÓ   rÔ   rÕ   r   rŸ   rF   rP   rQ   rV   r�   rh   r–   rc   rd   rf   rg   rj   r„   r‰   rŒ   r‘   r›   rœ   r    rk   rG   rH   rI   rJ   r`   ra   r   r€   r‚   r…   r†   r—   r˜   rK   rL   rM   rN   rO   rR   rS   rT   rU   rW   rX   rY   rZ   r[   r\   r]   r^   r_   rb   re   ri   rl   rm   rn   ro   rp   rq   rr   rs   rt   ru   rv   rw   rx   rz   r{   r|   r}   r~   r�   rƒ   r‡   rˆ   rŠ   r‹   r�   rŽ   r�   r�   r”   r•   r™   rš   rž   ry   r’   r   r   r   r   r   r   r   r   r   r   rÉ   rÊ   rË   rÌ   rÍ   rÐ   rÑ   r“   r¡   rÈ   ÚnameÚreturnc                 óH  — | dk(  rt         S | dk(  rt         j                  S | t        t        «      v r&ddlm}  |d| › d| › d�¬«       t        t        | «      S dd lmc m	} | t        |«      v rddlm}  |d| › d	�¬«       t        || «      S d
t        ›d| ›�}t        |«      ‚)NÚpolarsÚ
_allocatorr   )Úissue_deprecation_warningzaccessing `z«` from the top-level `polars` module was deprecated in version 1.0.0. Import it directly from the `polars.exceptions` module instead, e.g.: `from polars.exceptions import ú`)Úmessagez–` was deprecated in version 1.0.0. Define your own data type groups or use the `polars.selectors` module for selecting columns of a certain data type.zmodule z has no attribute )ÚplrrÛ   Údirr   Úpolars._utils.deprecationrÜ   ÚgetattrÚpolars.datatypes.groupÚ	datatypesÚgroupÚ__name__ÚAttributeError)r×   rÜ   ÚdtgroupÚmsgs       úQ/var/www/pod-logistic/pod-ai/venv/lib/python3.12/site-packages/polars/__init__.pyÚ__getattr__rë   û  sÄ   € ð �8ÒÜˆJØ�\Ò!Ü—>‘>Ð!ð ”3”z“?Ñ"ÝKá%à! $ ð (EàEIÀFÈ!ðMõô œ: tÓ,Ð,÷ 	1Ð0à”3�w“<ÑÝKá%à˜�vð fð fõô ˜7 DÓ)Ð)àœ�|Ð#5°d°XÐ>ˆÜ˜SÓ!Ð!ó    )÷Ú__doc__Ú
contextlibÚsuppressÚImportErrorÚosÚjemalloc_confÚenvironÚgetÚoverrideÚpolars._plrr   Útypingr   r	   rÚ   r
   r   r   r   Úpolars._utils.polars_versionr   Ú_get_polars_versionÚpolars._utils.wrapr   r   Úpolars.catalog.unityr   Úpolars.configr   Úpolars.convertr   r   r   r   r   r   r   r   r   r   Úpolars.dataframer   Úpolars.datatype_exprr   Úpolars.datatypesr   r    r!   r"   r#   r$   r%   r&   r'   r(   r)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   r4   r5   r6   r7   r8   r9   r:   r;   r<   r=   r>   r?   r@   rA   Úpolars.datatypes.extensionrB   rC   rD   Úpolars.exprrE   Úpolars.functionsrF   rG   rH   rI   rJ   rK   rL   rM   rN   rO   rP   rQ   rR   rS   rT   rU   rV   rW   rX   rY   rZ   r[   r\   r]   r^   r_   r`   ra   rb   rc   rd   re   rf   rg   rh   ri   rj   rk   rl   rm   rn   ro   rp   rq   rr   rs   rt   ru   rv   rw   rx   ry   rz   r{   r|   r}   r~   r   r€   r�   r‚   rƒ   r„   r…   r†   r‡   rˆ   r‰   rŠ   r‹   rŒ   r�   rŽ   r�   r�   r‘   r’   r“   r”   r•   r–   r—   r˜   r™   rš   r›   rœ   r�   rž   rŸ   r    Úpolars.interchanger¡   Ú	polars.ior¢   r£   r¤   r¥   r¦   r§   r¨   r©   rª   r«   r¬   r­   r®   r¯   r°   r±   r²   r³   r´   rµ   r¶   r·   r¸   r¹   rº   r»   r¼   r½   r¾   r¿   Úpolars.io.cloudrÀ   rÁ   rÂ   rÃ   rÄ   rÅ   Úpolars.lazyframerÆ   rÇ   rÈ   Úpolars.metarÉ   rÊ   rË   rÌ   rÍ   Úpolars.schemarÎ   Úpolars.seriesrÏ   Ú
polars.sqlrÐ   rÑ   Úpolars.string_cacherÒ   rÓ   rÔ   rÕ   rÖ   ÚstrÚ__annotations__Ú__all__Ú_plrrß   rë   © rì   rê   ú<module>r     se  ðòó@ à€Z×Ñ˜Ó%ñ ó à:€MØ	‡z�z‡~�~�lÓ# sÒ*ØÐ:Ñ:ˆØ—:‘:—>‘>Ð"5Ó6Ð6€xÐ6Ø˜˜x™Ñ'ˆØ&3€B‡J�JÐ"Ñ#õ 4áÔ÷#÷& &ç 6Ó 6Ý R÷ /Ý (Ý  ÷÷ ÷ õ 'Ý -÷$÷ $÷ $÷ $÷ $÷ $÷ $÷ $÷ $ñ $÷Jñ õ
 ÷\÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \÷ \ñ \õz +÷÷ ÷ ÷ ÷ ÷ ÷ ÷ ÷@÷ ÷ AÑ @÷õ õ !Ý  ß &÷ó ñ 'Ó(€ˆSÓ (Øò_€ñD Ø	ˆ×	Ñ	˜[Ó	)ñ "Ý!÷"ð
$"˜#ð $" #ô $"ð ÷eñ ú÷f"ð "ús   šA+J?Ê&KÊ?K	ËK