@@ -194,72 +194,16 @@ Top-level evaluation
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eval
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- Standard moving window functions
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- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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-
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- .. autosummary ::
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- :toctree: generated/
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-
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- rolling_count
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- rolling_sum
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- rolling_mean
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- rolling_median
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- rolling_var
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- rolling_std
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- rolling_min
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- rolling_max
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- rolling_corr
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- rolling_corr_pairwise
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- rolling_cov
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- rolling_skew
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- rolling_kurt
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- rolling_apply
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- rolling_quantile
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- rolling_window
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-
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- .. _api.functions_expanding :
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-
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- Standard expanding window functions
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- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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-
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- .. autosummary ::
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- :toctree: generated/
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-
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- expanding_count
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- expanding_sum
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- expanding_mean
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- expanding_median
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- expanding_var
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- expanding_std
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- expanding_min
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- expanding_max
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- expanding_corr
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- expanding_corr_pairwise
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- expanding_cov
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- expanding_skew
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- expanding_kurt
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- expanding_apply
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- expanding_quantile
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-
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- Exponentially-weighted moving window functions
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- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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-
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- .. autosummary ::
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- :toctree: generated/
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-
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- ewma
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- ewmstd
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- ewmvar
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- ewmcorr
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- ewmcov
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-
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.. _api.series :
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Series
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------
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Constructor
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~~~~~~~~~~~
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+
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+ .. currentmodule :: pandas
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+
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.. autosummary ::
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:toctree: generated/
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@@ -344,14 +288,17 @@ Binary operator functions
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Series.ne
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Series.eq
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- Function application, GroupBy
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- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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+ Function application, GroupBy & Window
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autosummary ::
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:toctree: generated/
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Series.apply
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Series.map
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Series.groupby
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+ Series.rolling
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+ Series.expanding
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+ Series.ewm
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.. _api.series.stats :
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@@ -846,14 +793,17 @@ Binary operator functions
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DataFrame.combine
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DataFrame.combine_first
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- Function application, GroupBy
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- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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+ Function application, GroupBy & Window
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autosummary ::
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:toctree: generated/
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DataFrame.apply
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DataFrame.applymap
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DataFrame.groupby
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+ DataFrame.rolling
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+ DataFrame.expanding
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+ DataFrame.ewm
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.. _api.dataframe.stats :
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@@ -1551,6 +1501,78 @@ Conversion
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TimedeltaIndex.to_series
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TimedeltaIndex.round
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+ Window
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+ ------
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+ .. currentmodule :: pandas.core.window
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+
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+ Rolling objects are returned by ``.rolling `` calls: :func: `pandas.DataFrame.rolling `, :func: `pandas.Series.rolling `, etc.
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+ Expanding objects are returned by ``.expanding `` calls: :func: `pandas.DataFrame.expanding `, :func: `pandas.Series.expanding `, etc.
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+ EWM objects are returned by ``.ewm `` calls: :func: `pandas.DataFrame.ewm `, :func: `pandas.Series.ewm `, etc.
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+
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+ Standard moving window functions
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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+
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+ .. currentmodule :: pandas.core.window
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+
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+ .. autosummary ::
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+ :toctree: generated/
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+
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+ Rolling.count
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+ Rolling.sum
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+ Rolling.mean
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+ Rolling.median
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+ Rolling.var
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+ Rolling.std
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+ Rolling.min
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+ Rolling.max
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+ Rolling.corr
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+ Rolling.cov
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+ Rolling.skew
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+ Rolling.kurt
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+ Rolling.apply
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+ Rolling.quantile
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+ Window.mean
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+ Window.sum
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+
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+ .. _api.functions_expanding :
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+
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+ Standard expanding window functions
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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+
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+ .. currentmodule :: pandas.core.window
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+
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+ .. autosummary ::
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+ :toctree: generated/
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+
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+ Expanding.count
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+ Expanding.sum
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+ Expanding.mean
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+ Expanding.median
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+ Expanding.var
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+ Expanding.std
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+ Expanding.min
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+ Expanding.max
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+ Expanding.corr
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+ Expanding.cov
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+ Expanding.skew
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+ Expanding.kurt
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+ Expanding.apply
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+ Expanding.quantile
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+
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+ Exponentially-weighted moving window functions
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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+
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+ .. currentmodule :: pandas.core.window
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+
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+ .. autosummary ::
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+ :toctree: generated/
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+
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+ EWM.mean
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+ EWM.std
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+ EWM.var
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+ EWM.corr
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+ EWM.cov
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+
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GroupBy
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-------
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.. currentmodule :: pandas.core.groupby
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