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If you want to import pandas from the source directory, you may need to run 'python setup.py build_ext --force' to build the C extensions first.) get_option set_option reset_optiondescribe_optionoption_contextoptions)8 ArrowDtype Int8Dtype Int16Dtype Int32Dtype Int64Dtype UInt8Dtype UInt16Dtype UInt32Dtype UInt64Dtype Float32Dtype Float64DtypeCategoricalDtype PeriodDtype IntervalDtypeDatetimeTZDtype StringDtype BooleanDtypeNAisnaisnullnotnanotnullIndexCategoricalIndex RangeIndex MultiIndex IntervalIndexTimedeltaIndex DatetimeIndex PeriodIndex IndexSliceNaTPeriod period_range Timedeltatimedelta_range Timestamp date_range bdate_rangeIntervalinterval_range DateOffset to_numeric to_datetime to_timedeltaFlagsGrouper factorizeunique value_countsNamedAggarray Categoricalset_eng_float_formatSeries DataFrame) SparseDtype) infer_freq)offsets)eval)concatlreshapemelt wide_to_longmerge merge_asof merge_orderedcrosstabpivot pivot_table get_dummies from_dummiescutqcut)apiarrayserrorsioplottingtseries)testing) show_versions) ExcelFile ExcelWriter read_excelread_csvread_fwf read_table read_pickle to_pickleHDFStoreread_hdfread_sqlread_sql_queryread_sql_tableread_clipboard read_parquetread_orc read_featherread_gbq read_htmlread_xml read_json read_stataread_sas read_spss)json_normalize)test) get_versionsz closest-tagversionzfull-revisionida pandas - a powerful data analysis and manipulation library for Python ===================================================================== **pandas** is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, **real world** data analysis in Python. Additionally, it has the broader goal of becoming **the most powerful and flexible open source data analysis / manipulation tool available in any language**. It is already well on its way toward this goal. Main Features ------------- Here are just a few of the things that pandas does well: - Easy handling of missing data in floating point as well as non-floating point data. - Size mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects - Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let `Series`, `DataFrame`, etc. automatically align the data for you in computations. - Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data. - Make it easy to convert ragged, differently-indexed data in other Python and NumPy data structures into DataFrame objects. - Intelligent label-based slicing, fancy indexing, and subsetting of large data sets. - Intuitive merging and joining data sets. - Flexible reshaping and pivoting of data sets. - Hierarchical labeling of axes (possible to have multiple labels per tick). - Robust IO tools for loading data from flat files (CSV and delimited), Excel files, databases, and saving/loading data from the ultrafast HDF5 format. - Time series-specific functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. )rrr#rGrr*rJr<r/r!rerfr@rrrArmr)r1rrrrr:r r-r,r$r2rEr3rr0r+rIrKr"r5r.r7rrrrr]rFr^r9rOrVr[r8rr_rNrBrYrZr rLr;r`r%r&r}rPrQrSrTrUr'r(rMrrr4rWrXrar\rrrhrgrurirvrnrwryrtrsrkr{r|rorprqrzrjrxrrHrrdr~rcr6r>r=rlr?rbrCrDrR) __future__r __docformat___hard_dependencies_missing_dependencies _dependency __import__ ImportError_eappendjoin pandas.compatr _is_numpy_dev pandas._libsr _hashtabler _libr _tslib_errname_modulepandas._configr rrrrrpandas.core.config_initpandaspandas.core.apirrrrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2r3r4r5r6r7r8r9r:r;r<r=r>r?r@rArBrCrDrErFrGrHrIrJpandas.core.arrays.sparserKpandas.tseries.apirLpandas.tseriesrMpandas.core.computation.apirNpandas.core.reshape.apirOrPrQrRrSrTrUrVrWrXrYrZr[r\r]r^r_r`rarbrcpandas.util._print_versionsrd pandas.io.apirerfrgrhrirjrkrlrmrnrorprqrrrsrtrurvrwrxryrzr{r|pandas.io.json._normalizer}pandas.util._testerr~pandas._versionrvget __version____git_version____doc____all__K/var/www/html/t/fyr/venv311/lib/python3.11/site-packages/pandas/__init__.pyrs""""""" 3%==K= ; ===$$ %;%;r%;%;<<<<<<<<= +3dii@U6V6VV   %:877777 !RRRRRRRRRR jjiG + O O O O    ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????B211111))))))"""""",,,,,,">===============555555B544444$$$$$$)(((((LNNeeM1Y<00 %%)**!& Vs s s s, AAA7 BB& B!!B&