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/output (opens new window)
- Pickling (opens new window)
- Flat file (opens new window)
- Clipboard (opens new window)
- Excel (opens new window)
- JSON (opens new window)
- HTML (opens new window)
- HDFStore: PyTables (HDF5) (opens new window)
- Feather (opens new window)
- Parquet (opens new window)
- SAS (opens new window)
- SQL (opens new window)
- Google BigQuery (opens new window)
- STATA (opens new window)
- General functions (opens new window)
- Data manipulations (opens new window)
- Top-level missing data (opens new window)
- Top-level conversions (opens new window)
- Top-level dealing with datetimelike (opens new window)
- Top-level dealing with intervals (opens new window)
- Top-level evaluation (opens new window)
- Hashing (opens new window)
- Testing (opens new window)
- Series (opens new window)
- Constructor (opens new window)
- Attributes (opens new window)
- Conversion (opens new window)
- Indexing, iteration (opens new window)
- Binary operator functions (opens new window)
- Function application, groupby & window (opens new window)
- Computations / descriptive stats (opens new window)
- Reindexing / selection / label manipulation (opens new window)
- Missing data handling (opens new window)
- Reshaping, sorting (opens new window)
- Combining / joining / merging (opens new window)
- Time series-related (opens new window)
- Accessors (opens new window)
- Plotting (opens new window)
- Serialization / IO / conversion (opens new window)
- Sparse (opens new window)
- DataFrame (opens new window)
- Constructor (opens new window)
- Attributes and underlying data (opens new window)
- Conversion (opens new window)
- Indexing, iteration (opens new window)
- Binary operator functions (opens new window)
- Function application, GroupBy & window (opens new window)
- Computations / descriptive stats (opens new window)
- Reindexing / selection / label manipulation (opens new window)
- Missing data handling (opens new window)
- Reshaping, sorting, transposing (opens new window)
- Combining / joining / merging (opens new window)
- Time series-related (opens new window)
- Plotting (opens new window)
- Sparse accessor (opens new window)
- Serialization / IO / conversion (opens new window)
- Sparse (opens new window)
- Pandas arrays (opens new window)
- Panel (opens new window)
- Index objects (opens new window)
- Date offsets (opens new window)
- DateOffset (opens new window)
- BusinessDay (opens new window)
- BusinessHour (opens new window)
- CustomBusinessDay (opens new window)
- CustomBusinessHour (opens new window)
- MonthOffset (opens new window)
- MonthEnd (opens new window)
- MonthBegin (opens new window)
- BusinessMonthEnd (opens new window)
- BusinessMonthBegin (opens new window)
- CustomBusinessMonthEnd (opens new window)
- CustomBusinessMonthBegin (opens new window)
- SemiMonthOffset (opens new window)
- SemiMonthEnd (opens new window)
- SemiMonthBegin (opens new window)
- Week (opens new window)
- WeekOfMonth (opens new window)
- LastWeekOfMonth (opens new window)
- QuarterOffset (opens new window)
- BQuarterEnd (opens new window)
- BQuarterBegin (opens new window)
- QuarterEnd (opens new window)
- QuarterBegin (opens new window)
- YearOffset (opens new window)
- BYearEnd (opens new window)
- BYearBegin (opens new window)
- YearEnd (opens new window)
- YearBegin (opens new window)
- FY5253 (opens new window)
- FY5253Quarter (opens new window)
- Easter (opens new window)
- Tick (opens new window)
- Day (opens new window)
- Hour (opens new window)
- Minute (opens new window)
- Second (opens new window)
- Milli (opens new window)
- Micro (opens new window)
- Nano (opens new window)
- BDay (opens new window)
- BMonthEnd (opens new window)
- BMonthBegin (opens new window)
- CBMonthEnd (opens new window)
- CBMonthBegin (opens new window)
- CDay (opens new window)
- Frequencies (opens new window)
- Window (opens new window)
- GroupBy (opens new window)
- Resampling (opens new window)
- Style (opens new window)
- Plotting (opens new window)
- pandas.plotting.andrews_curves (opens new window)
- pandas.plotting.bootstrap_plot (opens new window)
- pandas.plotting.deregister_matplotlib_converters (opens new window)
- pandas.plotting.lag_plot (opens new window)
- pandas.plotting.parallel_coordinates (opens new window)
- pandas.plotting.radviz (opens new window)
- pandas.plotting.register_matplotlib_converters (opens new window)
- pandas.plotting.scatter_matrix (opens new window)
- General utility functions (opens new window)
- Extensions (opens new window)
- pandas.api.extensions.register_extension_dtype (opens new window)
- pandas.api.extensions.register_dataframe_accessor (opens new window)
- pandas.api.extensions.register_series_accessor (opens new window)
- pandas.api.extensions.register_index_accessor (opens new window)
- pandas.api.extensions.ExtensionDtype (opens new window)
- pandas.api.extensions.ExtensionArray (opens new window)
- pandas.arrays.PandasArray (opens new window)
讨论区