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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. rrrBrr%rEr7r*rr`rar;rrr<rhr$r,rrrrr5rr(r'rr-r@r.rr+r&rDrFrr0r)r2rrrrrXrArYr4rJrQrVr3r rZrIr=rTrUrrGr6r[r r!rxrKrLrNrOrPr"r#rHr r r/rRrSr\rWrmrcrbrprdrqrirrrtrornrfrvrwrjrkrlrurersr rCr r_ryr^r1r9r8rgr:r]r>r?rM) __future__rZ __docformat__Z_hard_dependenciesZ_missing_dependenciesZ _dependency __import__ ImportError_eappendjoinZ pandas.compatrZ _is_numpy_devZ pandas._libsrZ _hashtabler_librZ_tslibZ_errname_moduleZpandas._configrr r r r r Zpandas.core.config_initZpandasZpandas.core.apirrrrrrrrrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2r3r4r5r6r7r8r9r:r;r<r=r>r?r@rArBrCrDrEZpandas.core.arrays.sparserFZpandas.tseries.apirGZpandas.tseriesrHZpandas.core.computation.apirIZpandas.core.reshape.apirJrKrLrMrNrOrPrQrRrSrTrUrVrWrXrYrZr[r\r]r^Zpandas.util._print_versionsr_Z pandas.io.apir`rarbrcrdrerfrgrhrirjrkrlrmrnrorprqrrrsrtrurvrwZpandas.io.json._normalizerxZpandas.util._testerryZpandas._versionrzvget __version__Z__git_version____doc____all__rr3/tmp/pip-unpacked-wheel-u1j4u1ka/pandas/__init__.pys>  (    A    @   h!    ,