o ig-@sUdZddlZee6ddlZdZejddkred7ZejdZr-ede7Zeejd<dd l m Z e Wdn1sEwYdd l m Z m Z dd lmZmZmZmZdd lmZdd lmZmZddlmZddlmZddlmZmZm Z m!Z!m"Z"m#Z#m$Z$m%Z%m&Z&m'Z'ddl(m)Z)ddl*m+Z+ddl,m-Z-m.Z.m/Z/m0Z0m1Z1m2Z2m3Z3m4Z4m5Z5m6Z6m7Z7m8Z8m9Z9m:Z:m;Z;mZ>m?Z?m@Z@mAZAmBZBmCZCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKmLZLmMZMmNZNmOZOddlPmQZQmRZRmSZSddlTmUZUddlVmWZWmXZXmYZYmZZZm[Z[m\Z\m]Z]m^Z^m_Z_m`Z`maZambZbmcZcmdZdmeZemfZfmgZgmhZhmiZimjZjmkZkmlZlmmZmmnZnmoZompZpmqZqmrZrmsZsmtZtmuZumvZvmwZwmxZxmyZymzZzm{Z{m|Z|m}Z}m~Z~mZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZddlmZddlmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZddlmZmZmZmZmZmZddlmZmZmZddlmZmZmZmZmZddlmZddlmZddlmZmZddlmZmZmZmZeZeed <[gd!Ze sreeddl mZWdn 1sbwYd"ed#e fd$d%ZdSdS)&u Polars: Blazingly fast DataFrames ================================= Polars is a fast, open-source library for data manipulation with an expressive, typed API. 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"city": ["New York", "London", "Tokyo"], ... } ... ) >>> df.filter(pl.col("age") > 28) shape: (2, 3) ┌─────────┬─────┬────────┐ │ name ┆ age ┆ city │ │ --- ┆ --- ┆ --- │ │ str ┆ i64 ┆ str │ ╞═════════╪═════╪════════╡ │ Bob ┆ 30 ┆ London │ │ Charlie ┆ 35 ┆ Tokyo │ └─────────┴─────┴────────┘ User Guide: https://docs.pola.rs/ Python API Documentation: https://docs.pola.rs/api/python/stable/ Source Code: https://github.com/pola-rs/polars Nz$dirty_decay_ms:500,muzzy_decay_ms:-1Z POLARS_THP1z,thp:always,metadata_thp:alwaysZ_RJEM_MALLOC_CONF,)__register_startup_deps) TYPE_CHECKINGAny)api exceptionsplugins selectors)get_polars_version)wrap_dfwrap_s)Catalog)Config) from_arrowfrom_dataframe from_dict from_dicts from_numpy from_pandas from_records from_repr from_torchjson_normalize) DataFrame) DataTypeExpr)#Array BaseExtensionBinaryBoolean Categorical CategoriesDataTypeDateDatetimeDecimalDurationEnum ExtensionFieldFloat16Float32Float64Int8Int16Int32Int64Int128ListNullObjectStringStructTimeUInt8UInt16UInt32UInt64UInt128UnknownUtf8)get_extension_typeregister_extension_typeunregister_extension_type)Expr)Z align_framesallall_horizontalanyany_horizontalapprox_n_uniquearangearctan2arctan2d arg_sort_by arg_wherebusiness_day_countcoalescecol collect_allcollect_all_asyncconcat concat_arr concat_list concat_strcorrcountcov cum_countcum_fold cum_reducecum_sumcum_sum_horizontaldate date_range date_rangesdatetimedatetime_rangedatetime_rangesdtype_ofdurationelement escape_regexexclude explain_allfieldfirstfoldformat from_epochgroupsheadimplode int_range int_rangeslastlen linear_space linear_spaceslit map_batches map_groupsmaxmax_horizontalmeanmean_horizontalmedianminmin_horizontaln_uniquenthonesquantilereducerepeat rolling_corr rolling_cov row_indexselect self_dtypeset_random_seedsql_exprstdstructstruct_with_fieldssumsum_horizontaltailtime time_range time_rangesunionvarwhenzeros) CompatLevel)FileProviderArgs PartitionByScanCastOptionsdefer read_avroread_clipboardread_csvread_csv_batched read_databaseread_database_uri read_delta read_excelread_ipcread_ipc_schemaread_ipc_stream read_json read_lines read_ndjsonread_ods read_parquetread_parquet_metadataread_parquet_schemascan_csv scan_delta scan_icebergscan_ipc scan_lines scan_ndjson scan_parquetscan_pyarrow_dataset)CredentialProviderCredentialProviderAWSCredentialProviderAzureCredentialProviderFunction CredentialProviderFunctionReturnCredentialProviderGCP) GPUEngine LazyFrame QueryOptFlags) build_infoget_index_type show_versionsthread_pool_sizethreadpool_size)Schema)Series) SQLContextsql) StringCachedisable_string_cacheenable_string_cacheusing_string_cache __version__)rrr r rrBrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2r3r4r5r6r7r8r9r:r;r<r=r>r@rAr?rrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrCrMrNrSrrerr`rarcrdrgrrrrrrrhrDrErFrGr]r^r|r}rrrrrrHrIrJrKrLrOrPrQrRrTrUrVrWrXrYrZr[r\r_rbrfrirjrkrlrmrnrorprqrrrsrtrurwrxryrzr{r~rrrrrrrrrrrrrrrvrrrrrrrrrrrrrrrrrrrrrnamereturncCs|dkrtS|dkr tjS|ttvr*ddlm}|d|d|ddtt|Sddlmm }|t|vrMddlm}|d|d dt||Sd t d |}t |) Npolars _allocatorr)issue_deprecation_warningz accessing `z` from the top-level `polars` module was deprecated in version 1.0.0. 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