Statsmodels is the prominent Python “statistics and econometrics library” and it has a long-standing special relationship with pandas.GettingstartedUserGuideAPIreferenceDevelopmentReleasenotesGitHubTwitterOnthispageDatacleaningandvalidationPyjanitorEngardepandas-pathStatisticsandmachinelearningpandas-tfrecordsStatsmodelssklearn-pandasFeaturetoolsComposeSTUMPYVisualizationAltairBokehSeabornplotnineIPythonvegaPlotlyLuxQtpandasD-TalehvplotIDEIPythonJupyterNotebook/JupyterLabQuantopian/qgridSpyderAPIpandas-datareaderQuandl/PythonPydatastreampandaSDMXfredapidataframe_sqlDomainspecificGeopandasxarrayIOBCPandasDeltalakeOut-of-coreBlazeCylonDaskDask-MLIbisKoalasModinOdoPandarallelVaexExtensiondatatypesCyberpandasPandas-GenomicsPint-PandasTextExtensionsforPandasAccessorspandasecosystem¶Increasingly,packagesarebeingbuiltontopofpandastoaddressspecificneedsindatapreparation,analysisandvisualization.Thisisencouragingbecauseitmeanspandasisnotonlyhelpinguserstohandletheirdatatasksbutalsothatitprovidesabetterstartingpointfordeveloperstobuildpowerfulandmorefocuseddatatools.Thecreationoflibrariesthatcomplementpandas’functionalityalsoallowspandasdevelopmenttoremainfocusedaroundit’soriginalrequirements.ThisisaninexhaustivelistofprojectsthatbuildonpandasinordertoprovidetoolsinthePyDataspace.Foralistofprojectsthatdependonpandas,seethelibraries.iousagepageforpandasorsearchpypiforpandas.We’dliketomakeiteasierforuserstofindtheseprojects,ifyouknowofothersubstantialprojectsthatyoufeelshouldbeonthislist,pleaseletusknow.Datacleaningandvalidation¶Pyjanitor¶PyjanitorprovidesacleanAPIforcleaningdata,usingmethodchaining.Engarde¶Engardeisalightweightlibraryusedtoexplicitlystateassumptionsaboutyourdatasetsandcheckthatthey’reactuallytrue.pandas-path¶SincePython3.4,pathlibhasbeenincludedinthePythonstandardlibrary.Pathobjectsprovideasimpleanddelightfulwaytointeractwiththefilesystem.Thepandas-pathpackageenablesthePathAPIforpandasthroughacustomaccessor.path.Gettingjustthefilenamesfromaseriesoffullfilepath