doc/source/reference/frame.rst
{{ header }}
.. _api.dataframe:
.. currentmodule:: pandas
.. note::
For an introduction to using DataFrames, see :ref:basics.
Constructor
.. autosummary::
:toctree: api/
DataFrame
Attributes and underlying data
Axes
.. autosummary:: :toctree: api/
DataFrame.index DataFrame.columns
.. autosummary:: :toctree: api/
DataFrame.dtypes DataFrame.info DataFrame.select_dtypes DataFrame.values DataFrame.axes DataFrame.ndim DataFrame.size DataFrame.shape DataFrame.memory_usage DataFrame.empty DataFrame.set_flags
Conversion
.. autosummary::
:toctree: api/
DataFrame.astype
DataFrame.convert_dtypes
DataFrame.infer_objects
DataFrame.copy
DataFrame.to_numpy
Indexing, iteration
.. autosummary:: :toctree: api/
DataFrame.head DataFrame.at DataFrame.iat DataFrame.loc DataFrame.iloc DataFrame.insert DataFrame.iter DataFrame.items DataFrame.keys DataFrame.iterrows DataFrame.itertuples DataFrame.pop DataFrame.tail DataFrame.xs DataFrame.get DataFrame.isin DataFrame.where DataFrame.mask DataFrame.query DataFrame.isetitem
For more information on .at, .iat, .loc, and
.iloc, see the :ref:indexing documentation <indexing>.
Binary operator functions
.. autosummary::
:toctree: api/
DataFrame.__add__
DataFrame.add
DataFrame.sub
DataFrame.mul
DataFrame.div
DataFrame.truediv
DataFrame.floordiv
DataFrame.mod
DataFrame.pow
DataFrame.dot
DataFrame.radd
DataFrame.rsub
DataFrame.rmul
DataFrame.rdiv
DataFrame.rtruediv
DataFrame.rfloordiv
DataFrame.rmod
DataFrame.rpow
DataFrame.lt
DataFrame.gt
DataFrame.le
DataFrame.ge
DataFrame.ne
DataFrame.eq
DataFrame.combine
DataFrame.combine_first
Function application, GroupBy & window
.. autosummary:: :toctree: api/
DataFrame.apply DataFrame.map DataFrame.pipe DataFrame.agg DataFrame.aggregate DataFrame.transform DataFrame.groupby DataFrame.rolling DataFrame.expanding DataFrame.ewm
.. _api.dataframe.stats:
Computations / descriptive stats
.. autosummary::
:toctree: api/
DataFrame.abs
DataFrame.all
DataFrame.any
DataFrame.clip
DataFrame.corr
DataFrame.corrwith
DataFrame.count
DataFrame.cov
DataFrame.cummax
DataFrame.cummin
DataFrame.cumprod
DataFrame.cumsum
DataFrame.describe
DataFrame.diff
DataFrame.eval
DataFrame.kurt
DataFrame.kurtosis
DataFrame.max
DataFrame.mean
DataFrame.median
DataFrame.min
DataFrame.mode
DataFrame.pct_change
DataFrame.prod
DataFrame.product
DataFrame.quantile
DataFrame.rank
DataFrame.round
DataFrame.sem
DataFrame.skew
DataFrame.sum
DataFrame.std
DataFrame.var
DataFrame.nunique
DataFrame.value_counts
Reindexing / selection / label manipulation
.. autosummary:: :toctree: api/
DataFrame.add_prefix DataFrame.add_suffix DataFrame.align DataFrame.at_time DataFrame.between_time DataFrame.drop DataFrame.drop_duplicates DataFrame.duplicated DataFrame.equals DataFrame.filter DataFrame.idxmax DataFrame.idxmin DataFrame.reindex DataFrame.reindex_like DataFrame.rename DataFrame.rename_axis DataFrame.reset_index DataFrame.sample DataFrame.set_axis DataFrame.set_index DataFrame.take DataFrame.truncate
.. _api.dataframe.missing:
Missing data handling
.. autosummary::
:toctree: api/
DataFrame.bfill
DataFrame.dropna
DataFrame.ffill
DataFrame.fillna
DataFrame.interpolate
DataFrame.isna
DataFrame.isnull
DataFrame.notna
DataFrame.notnull
DataFrame.replace
Reshaping, sorting, transposing
.. autosummary:: :toctree: api/
DataFrame.droplevel DataFrame.pivot DataFrame.pivot_table DataFrame.reorder_levels DataFrame.sort_values DataFrame.sort_index DataFrame.nlargest DataFrame.nsmallest DataFrame.swaplevel DataFrame.stack DataFrame.unstack DataFrame.melt DataFrame.explode DataFrame.squeeze DataFrame.to_xarray DataFrame.T DataFrame.transpose
Combining / comparing / joining / merging
.. autosummary::
:toctree: api/
DataFrame.assign
DataFrame.compare
DataFrame.join
DataFrame.merge
DataFrame.update
Time Series-related
~~~~~~~~~~~~~~~~~~~
.. autosummary::
:toctree: api/
DataFrame.asfreq
DataFrame.asof
DataFrame.shift
DataFrame.first_valid_index
DataFrame.last_valid_index
DataFrame.resample
DataFrame.to_period
DataFrame.to_timestamp
DataFrame.tz_convert
DataFrame.tz_localize
.. _api.frame.flags:
Flags
~~~~~
Flags refer to attributes of the pandas object. Properties of the dataset (like
the date is was recorded, the URL it was accessed from, etc.) should be stored
in :attr:`DataFrame.attrs`.
.. autosummary::
:toctree: api/
Flags
.. _api.frame.metadata:
Metadata
~~~~~~~~
:attr:`DataFrame.attrs` is a dictionary for storing global metadata for this DataFrame.
.. warning:: ``DataFrame.attrs`` is considered experimental and may change without warning.
.. autosummary::
:toctree: api/
DataFrame.attrs
.. _api.dataframe.plotting:
Plotting
~~~~~~~~
``DataFrame.plot`` is both a callable method and a namespace attribute for
specific plotting methods of the form ``DataFrame.plot.<kind>``.
.. autosummary::
:toctree: api/
:template: autosummary/accessor_callable.rst
DataFrame.plot
.. autosummary::
:toctree: api/
:template: autosummary/accessor_method.rst
DataFrame.plot.area
DataFrame.plot.bar
DataFrame.plot.barh
DataFrame.plot.box
DataFrame.plot.density
DataFrame.plot.hexbin
DataFrame.plot.hist
DataFrame.plot.kde
DataFrame.plot.line
DataFrame.plot.pie
DataFrame.plot.scatter
.. autosummary::
:toctree: api/
DataFrame.boxplot
DataFrame.hist
.. _api.frame.sparse:
Sparse accessor
~~~~~~~~~~~~~~~
Sparse-dtype specific methods and attributes are provided under the
``DataFrame.sparse`` accessor.
.. autosummary::
:toctree: api/
:template: autosummary/accessor_attribute.rst
DataFrame.sparse.density
.. autosummary::
:toctree: api/
:template: autosummary/accessor_method.rst
DataFrame.sparse.from_spmatrix
DataFrame.sparse.to_coo
DataFrame.sparse.to_dense
Serialization / IO / conversion
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autosummary::
:toctree: api/
DataFrame.from_arrow
DataFrame.from_dict
DataFrame.from_records
DataFrame.to_orc
DataFrame.to_parquet
DataFrame.to_pickle
DataFrame.to_csv
DataFrame.to_hdf
DataFrame.to_sql
DataFrame.to_dict
DataFrame.to_excel
DataFrame.to_json
DataFrame.to_html
DataFrame.to_feather
DataFrame.to_latex
DataFrame.to_stata
DataFrame.to_records
DataFrame.to_string
DataFrame.to_clipboard
DataFrame.to_markdown
DataFrame.style
DataFrame.__dataframe__