Q/Ph5 @ddlZddlZddlmZmZmZmZmZddlZ ddl m Z GddZ GddZ Gdd e ZGd d e ZGd d e Zde dedeeeffdZde de jdeeefdeeeeffdZdS)N)AnyCallableDictOptionalSized)Settingsc.eZdZdZdefdZdedefdZdS)MissingDataBackendzXHelper class to select and cache the appropriate missing-data backend (Pandas or Spark).dfct|tjrd|_nd|_t j|j|_dS)zFDetermine backend once and store it for all missing-data computations.z+ydata_profiling.model.pandas.missing_pandasz)ydata_profiling.model.spark.missing_sparkN) isinstancepd DataFramebackend_module importlib import_modulemodule)selfr s ]/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/ydata_profiling/model/missing.py__init__zMissingDataBackend.__init__ sC b", ' ' N"OD  "MD -d.ABB method_namereturnc t|j|S#t$r!}td|d|jd|d}~wwxYw)zGRetrieve the appropriate missing-data function from the backend module.zMissing-data function 'z' is not available in .N)getattrrAttributeErrorr)rrexs r get_methodzMissingDataBackend.get_methodsf 4; 44 4    c+ccTM`ccc  s A=AN) __name__ __module__ __qualname____doc__rrstrrrrrr r s\bbC5CCCCchrr c BeZdZUdZeed<dededede efdZ dS) MissingData _method_nameconfigr backendrc ||j}|||S#t$r}t|d}~wwxYw)zAComputes correlation using the correct backend (Pandas or Spark).N)rr)rNotImplementedError)rr*r r+methodrs rcomputezMissingData.compute#s` &''(9::F6&"%% % 0 0 0%''R / 0s( AAAN) r r!r"r)r$__annotations__rrr rr/r%rrr'r' s^L# & &$) &4F & % & & & & & &rr'ceZdZdZdS) MissingBar missing_barNr r!r"r)r%rrr2r2/s LLLrr2ceZdZdZdS) MissingMatrixmissing_matrixNr4r%rrr6r63s#LLLrr6ceZdZdZdS)MissingHeatmapmissing_heatmapNr4r%rrr9r97s$LLLrr9r* table_statsrcdddtddddtdddd tdd }fd |D}|S) z Args: config: report Settings object table_stats: The overall statistics for the DataFrame. Returns: rCountz,A simple visualization of nullity by column.) min_missingnamecaptionfunctionMatrixzlNullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.HeatmapzThe correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.)barmatrixheatmapci|]H\}}j|r6d|dkr$|dksddz |dkE||IS)n_vars_with_missingr>rGn_vars_all_missing)missing_diagrams).0r?settingsr*r;s r z&get_missing_active..[s D(  #D )  12h}6MMM I  12[AU5VVM*++ h+++r)r2r6r9items)r*r; missing_maps`` rget_missing_activerQ;sE"   F%   e&((   K*)//11K rr rMc *t|}|d}|dS ||||}|d|d|dS#t$r5}t jd|dd|dd|d Yd}~dSd}~wwxYw) asGets the rendered diagrams for missing values. Args: config: report Settings object df: The DataFrame on which to calculate the missing values. settings: missing diagram name, caption and function Returns: A dictionary containing the base64 encoded plots for each diagram that is active in the config (matrix, bar, heatmap). rANr?r@)r?r@rFz%There was an attempt to generate the z missing values diagrams, but this failed. To hide this warning, disable the calculation (using `df.profile_report(missing_diagrams={"z": False}`) If this is problematic for your use case, please report this as an issue: https://github.com/ydataai/ydata-profiling/issues (include the error message: 'z'))r getr/ ValueErrorwarningswarn)r*r rMr+ missing_funcresultes rget_missing_diagramrZns!$$G<< ++Lt %%fb'::V$ *         .hv6F . .7?7G . . '(  . . .   ttttt sA B*B  B)rrUtypingrrrrrpandasrydata_profiling.configrr r'r2r6r9dictr$rQrrZr%rrr_s77777777777777++++++, & & & & & & & &!!!!!!!!$$$$$K$$$%%%%%[%%%0x0d0tCH~0000f$ $ ,$ 26sCx.$  d38n$ $ $ $ $ $ r