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
)is_numpy_dev)	hashtablelibtslibzC extension: z not built. 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_optiondescribe_optionoption_contextoptions)8
ArrowDtype	Int8Dtype
Int16Dtype
Int32Dtype
Int64Dtype
UInt8DtypeUInt16DtypeUInt32DtypeUInt64DtypeFloat32DtypeFloat64DtypeCategoricalDtypePeriodDtypeIntervalDtypeDatetimeTZDtypeStringDtypeBooleanDtypeNAisnaisnullnotnanotnullIndexCategoricalIndex
RangeIndex
MultiIndexIntervalIndexTimedeltaIndexDatetimeIndexPeriodIndex
IndexSliceNaTPeriodperiod_range	Timedeltatimedelta_range	Timestamp
date_rangebdate_rangeIntervalinterval_range
DateOffset
to_numericto_datetimeto_timedeltaFlagsGrouper	factorizeuniquevalue_countsNamedAggarrayCategoricalset_eng_float_formatSeries	DataFrame)SparseDtype)
infer_freq)offsets)eval)concatlreshapemeltwide_to_longmerge
merge_asofmerge_orderedcrosstabpivotpivot_tableget_dummiesfrom_dummiescutqcut)apiarrayserrorsioplottingtseries)testing)show_versions)	ExcelFileExcelWriter
read_excelread_csvread_fwf
read_tableread_pickle	to_pickleHDFStoreread_hdfread_sqlread_sql_queryread_sql_tableread_clipboardread_parquetread_orcread_featherread_gbq	read_htmlread_xml	read_json
read_stataread_sas	read_spss)_json_normalize)test)get_versionszclosest-tagversionzfull-revisionidFloat64Index
Int64IndexUInt64Indexz	list[str])returnc                   C  s   t t  t S )N)listglobalskeys__deprecated_num_index_names r   r   K/var/www/html/django/DPS/env/lib/python3.9/site-packages/pandas/__init__.py__dir__   s    r   c                 C  s   dd l }| tv rL|jd|  dtdd ddlm}m}m} |||d|  S | dkrt|jdtdd dd	lm} |S | d
kr|jdtdd dd l	}|S | dv r|jd|  dtdd t
| di S | dkr|jdtdd ddlm} |S td|  dd S )Nr   zpandas.zx is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.   )
stacklevelr   datetimezThe pandas.datetime class is deprecated and will be removed from pandas in a future version. Import from datetime module instead.)r   npzvThe pandas.np module is deprecated and will be removed from pandas in a future version. Import numpy directly instead.>   ZSparseDataFrameZSparseSerieszThe zr class is removed from pandas. Accessing it from the top-level namespace will also be removed in the next version.r   SparseArrayzThe pandas.SparseArray class is deprecated and will be removed from pandas in a future version. Use pandas.arrays.SparseArray instead.)r   z"module 'pandas' has no attribute '')warningsr   warnFutureWarningpandas.core.apir   r   r   r   r   typepandas.core.arrays.sparser   AttributeError)namer   r   r   r   dtr   Z_SparseArrayr   r   r   __getattr__   s\    

r   a  
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.
)rr   r"   rF   r   r)   rI   r;   r.   r    rd   re   r?   r   r   r@   rl   r(   r0   r   r   r   r   r9   r   r,   r+   r#   r1   rD   r2   r   r/   r*   rH   rJ   r!   r4   r-   r6   r   r   r   r   r\   rE   r]   r8   rN   rU   rZ   r7   r   r^   rM   rA   rX   rY   r   rK   r:   r_   r$   r%   json_normalizerO   rP   rR   rS   rT   r&   r'   rL   r   r   r3   rV   rW   r`   r[   rq   rg   rf   rt   rh   ru   rm   rv   rx   rs   rr   rj   rz   r{   rn   ro   rp   ry   ri   rw   r   rG   r   rc   r}   rb   r5   r=   r<   rk   r>   ra   rB   rC   rQ   )
__future__r   __docformat__Z_hard_dependenciesZ_missing_dependenciesZ_dependency
__import__ImportError_eappendjoinZpandas.compatr   Z_is_numpy_devZpandas._libsr	   Z
_hashtabler
   Z_libr   Z_tslibZ_errr   _moduleZpandas._configr   r   r   r   r   r   Zpandas.core.config_initpandasr   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r    r!   r"   r#   r$   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   rB   rC   rD   rE   rF   rG   rH   rI   r   rJ   Zpandas.tseries.apirK   Zpandas.tseriesrL   Zpandas.core.computation.apirM   Zpandas.core.reshape.apirN   rO   rP   rQ   rR   rS   rT   rU   rV   rW   rX   rY   rZ   r[   r\   r]   r^   r_   r`   ra   rb   Zpandas.util._print_versionsrc   Zpandas.io.apird   re   rf   rg   rh   ri   rj   rk   rl   rm   rn   ro   rp   rq   rr   rs   rt   ru   rv   rw   rx   ry   rz   r{   Zpandas.io.jsonr|   r   Zpandas.util._testerr}   Zpandas._versionr~   vget__version____git_version__r   r   r   __doc____all__r   r   r   r   <module>   s`   ,
 
A@ h!
G+