API 参考手册

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API 参考手册

2023-09-30 22:52| 来源: 网络整理| 查看: 265

# API 参考手册

本页面概述了所有公共的Pandas对象、功能和。 方法。pandas.*命名空间中公开的所有类和函数都是公共的。

有些子模块是公开的,其中包括pandas.error、pandas.plotting和pandas.testing。pandas.io和pandas.tseries系列子模块中的公共函数在文档中有所提及。pandas.api.types子模块含一些与pandas中的数据类型相关的公共函数。

警告

pandas.core、pandas.compat和pandas.util 顶级模块是PRIVATE(私有的)。此类模块的功能稳定性无法保证。

Input/outputopen in new windowPicklingopen in new windowFlat fileopen in new windowClipboardopen in new windowExcelopen in new windowJSONopen in new windowHTMLopen in new windowHDFStore: PyTables (HDF5)open in new windowFeatheropen in new windowParquetopen in new windowSASopen in new windowSQLopen in new windowGoogle BigQueryopen in new windowSTATAopen in new windowGeneral functionsopen in new windowData manipulationsopen in new windowTop-level missing dataopen in new windowTop-level conversionsopen in new windowTop-level dealing with datetimelikeopen in new windowTop-level dealing with intervalsopen in new windowTop-level evaluationopen in new windowHashingopen in new windowTestingopen in new windowSeriesopen in new windowConstructoropen in new windowAttributesopen in new windowConversionopen in new windowIndexing, iterationopen in new windowBinary operator functionsopen in new windowFunction application, groupby & windowopen in new windowComputations / descriptive statsopen in new windowReindexing / selection / label manipulationopen in new windowMissing data handlingopen in new windowReshaping, sortingopen in new windowCombining / joining / mergingopen in new windowTime series-relatedopen in new windowAccessorsopen in new windowPlottingopen in new windowSerialization / IO / conversionopen in new windowSparseopen in new windowDataFrameopen in new windowConstructoropen in new windowAttributes and underlying dataopen in new windowConversionopen in new windowIndexing, iterationopen in new windowBinary operator functionsopen in new windowFunction application, GroupBy & windowopen in new windowComputations / descriptive statsopen in new windowReindexing / selection / label manipulationopen in new windowMissing data handlingopen in new windowReshaping, sorting, transposingopen in new windowCombining / joining / mergingopen in new windowTime series-relatedopen in new windowPlottingopen in new windowSparse accessoropen in new windowSerialization / IO / conversionopen in new windowSparseopen in new windowPandas arraysopen in new windowpandas.arrayopen in new windowDatetime dataopen in new windowTimedelta dataopen in new windowTimespan dataopen in new windowPeriodopen in new windowInterval dataopen in new windowNullable integeropen in new windowCategorical dataopen in new windowSparse dataopen in new windowPanelopen in new windowIndex objectsopen in new windowIndexopen in new windowNumeric Indexopen in new windowCategoricalIndexopen in new windowIntervalIndexopen in new windowMultiIndexopen in new windowDatetimeIndexopen in new windowTimedeltaIndexopen in new windowPeriodIndexopen in new windowDate offsetsopen in new windowDateOffsetopen in new windowBusinessDayopen in new windowBusinessHouropen in new windowCustomBusinessDayopen in new windowCustomBusinessHouropen in new windowMonthOffsetopen in new windowMonthEndopen in new windowMonthBeginopen in new windowBusinessMonthEndopen in new windowBusinessMonthBeginopen in new windowCustomBusinessMonthEndopen in new windowCustomBusinessMonthBeginopen in new windowSemiMonthOffsetopen in new windowSemiMonthEndopen in new windowSemiMonthBeginopen in new windowWeekopen in new windowWeekOfMonthopen in new windowLastWeekOfMonthopen in new windowQuarterOffsetopen in new windowBQuarterEndopen in new windowBQuarterBeginopen in new windowQuarterEndopen in new windowQuarterBeginopen in new windowYearOffsetopen in new windowBYearEndopen in new windowBYearBeginopen in new windowYearEndopen in new windowYearBeginopen in new windowFY5253open in new windowFY5253Quarteropen in new windowEasteropen in new windowTickopen in new windowDayopen in new windowHouropen in new windowMinuteopen in new windowSecondopen in new windowMilliopen in new windowMicroopen in new windowNanoopen in new windowBDayopen in new windowBMonthEndopen in new windowBMonthBeginopen in new windowCBMonthEndopen in new windowCBMonthBeginopen in new windowCDayopen in new windowFrequenciesopen in new windowpandas.tseries.frequencies.to_offsetopen in new windowWindowopen in new windowStandard moving window functionsopen in new windowStandard expanding window functionsopen in new windowExponentially-weighted moving window functionsopen in new windowGroupByopen in new windowIndexing, iterationopen in new windowFunction applicationopen in new windowComputations / descriptive statsopen in new windowResamplingopen in new windowIndexing, iterationopen in new windowFunction applicationopen in new windowUpsamplingopen in new windowComputations / descriptive statsopen in new windowStyleopen in new windowStyler constructoropen in new windowStyler propertiesopen in new windowStyle applicationopen in new windowBuiltin stylesopen in new windowStyle export and importopen in new windowPlottingopen in new windowpandas.plotting.andrews_curvesopen in new windowpandas.plotting.bootstrap_plotopen in new windowpandas.plotting.deregister_matplotlib_convertersopen in new windowpandas.plotting.lag_plotopen in new windowpandas.plotting.parallel_coordinatesopen in new windowpandas.plotting.radvizopen in new windowpandas.plotting.register_matplotlib_convertersopen in new windowpandas.plotting.scatter_matrixopen in new windowGeneral utility functionsopen in new windowWorking with optionsopen in new windowTesting functionsopen in new windowExceptions and warningsopen in new windowData types related functionalityopen in new windowExtensionsopen in new windowpandas.api.extensions.register_extension_dtypeopen in new windowpandas.api.extensions.register_dataframe_accessoropen in new windowpandas.api.extensions.register_series_accessoropen in new windowpandas.api.extensions.register_index_accessoropen in new windowpandas.api.extensions.ExtensionDtypeopen in new windowpandas.api.extensions.ExtensionArrayopen in new windowpandas.arrays.PandasArrayopen in new window


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