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API reference

This page gives an overview of all public pandas objects, functions and methods. All classes and functions exposed in pandas.* namespace are public.

The following subpackages are public.

  • pandas.errors: Custom exception and warnings classes that are raised by pandas.

  • pandas.plotting: Plotting public API.

  • pandas.testing: Functions that are useful for writing tests involving pandas objects.

  • pandas.api.extensions: Functions and classes for extending pandas objects.

  • pandas.api.indexers: Functions and classes for rolling window indexers.

  • pandas.api.interchange: DataFrame interchange protocol.

  • pandas.api.types: Datatype classes and functions.

  • pandas.api.typing: Classes that may be necessary for type-hinting. These are classes that are encountered as intermediate results but should not be instantiated directly by users. These classes are not to be confused with classes from the pandas-stubs package which has classes in addition to those that occur in pandas for type-hinting.

In addition, public functions in pandas.io and pandas.tseries submodules are mentioned in the documentation.

Warning

The pandas.core, pandas.compat, and pandas.util top-level modules are PRIVATE. Stable functionality in such modules is not guaranteed.

  • Input/output
    • Pickling
    • Flat file
    • Clipboard
    • Excel
    • JSON
    • HTML
    • XML
    • Latex
    • HDFStore: PyTables (HDF5)
    • Feather
    • Parquet
    • ORC
    • SAS
    • SPSS
    • SQL
    • Google BigQuery
    • STATA
  • General functions
    • Data manipulations
    • Top-level missing data
    • Top-level dealing with numeric data
    • Top-level dealing with datetimelike data
    • Top-level dealing with Interval data
    • Top-level evaluation
    • Datetime formats
    • Hashing
    • Importing from other DataFrame libraries
  • Series
    • Constructor
    • Attributes
    • Conversion
    • Indexing, iteration
    • Binary operator functions
    • Function application, GroupBy & window
    • Computations / descriptive stats
    • Reindexing / selection / label manipulation
    • Missing data handling
    • Reshaping, sorting
    • Combining / comparing / joining / merging
    • Time Series-related
    • Accessors
    • Plotting
    • Serialization / IO / conversion
  • DataFrame
    • Constructor
    • Attributes and underlying data
    • Conversion
    • Indexing, iteration
    • Binary operator functions
    • Function application, GroupBy & window
    • Computations / descriptive stats
    • Reindexing / selection / label manipulation
    • Missing data handling
    • Reshaping, sorting, transposing
    • Combining / comparing / joining / merging
    • Time Series-related
    • Flags
    • Metadata
    • Plotting
    • Sparse accessor
    • Serialization / IO / conversion
  • pandas arrays, scalars, and data types
    • Objects
    • Utilities
  • Index objects
    • Index
    • Numeric Index
    • CategoricalIndex
    • IntervalIndex
    • MultiIndex
    • DatetimeIndex
    • TimedeltaIndex
    • PeriodIndex
  • Date offsets
    • DateOffset
    • BusinessDay
    • BusinessHour
    • CustomBusinessDay
    • CustomBusinessHour
    • MonthEnd
    • MonthBegin
    • BusinessMonthEnd
    • BusinessMonthBegin
    • CustomBusinessMonthEnd
    • CustomBusinessMonthBegin
    • SemiMonthEnd
    • SemiMonthBegin
    • Week
    • WeekOfMonth
    • LastWeekOfMonth
    • BQuarterEnd
    • BQuarterBegin
    • QuarterEnd
    • QuarterBegin
    • BYearEnd
    • BYearBegin
    • YearEnd
    • YearBegin
    • FY5253
    • FY5253Quarter
    • Easter
    • Tick
    • Day
    • Hour
    • Minute
    • Second
    • Milli
    • Micro
    • Nano
  • Frequencies
    • pandas.tseries.frequencies.to_offset
  • Window
    • Rolling window functions
    • Weighted window functions
    • Expanding window functions
    • Exponentially-weighted window functions
    • Window indexer
  • GroupBy
    • Indexing, iteration
    • Function application helper
    • Function application
    • DataFrameGroupBy computations / descriptive stats
    • SeriesGroupBy computations / descriptive stats
    • Plotting and visualization
  • Resampling
    • Indexing, iteration
    • Function application
    • Upsampling
    • Computations / descriptive stats
  • Style
    • Styler constructor
    • Styler properties
    • Style application
    • Builtin styles
    • Style export and import
  • Plotting
    • pandas.plotting.andrews_curves
    • pandas.plotting.autocorrelation_plot
    • pandas.plotting.bootstrap_plot
    • pandas.plotting.boxplot
    • pandas.plotting.deregister_matplotlib_converters
    • pandas.plotting.lag_plot
    • pandas.plotting.parallel_coordinates
    • pandas.plotting.plot_params
    • pandas.plotting.radviz
    • pandas.plotting.register_matplotlib_converters
    • pandas.plotting.scatter_matrix
    • pandas.plotting.table
  • Options and settings
    • Working with options
    • Numeric formatting
  • Extensions
    • pandas.api.extensions.register_extension_dtype
    • pandas.api.extensions.register_dataframe_accessor
    • pandas.api.extensions.register_series_accessor
    • pandas.api.extensions.register_index_accessor
    • pandas.api.extensions.ExtensionDtype
    • pandas.api.extensions.ExtensionArray
    • pandas.arrays.NumpyExtensionArray
    • pandas.api.indexers.check_array_indexer
  • Testing
    • Assertion functions
    • Exceptions and warnings
    • Bug report function
    • Test suite runner
  • Missing values
    • pandas.NA
    • pandas.NaT

© 2008–2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
© 2011–2025, Open source contributors
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/2.3.0/reference/index.html

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