.. currentmodule:: pyspark.pandas
.. autosummary:: :toctree: api/ Series
.. autosummary:: :toctree: api/ Series.index Series.dtype Series.dtypes Series.ndim Series.name Series.shape Series.axes Series.size Series.empty Series.T Series.hasnans Series.values
.. autosummary:: :toctree: api/ Series.astype Series.copy Series.bool
.. autosummary:: :toctree: api/ Series.at Series.iat Series.loc Series.iloc Series.keys Series.pop Series.items Series.iteritems Series.item Series.xs Series.get
.. autosummary:: :toctree: api/ Series.add Series.div Series.mul Series.radd Series.rdiv Series.rmul Series.rsub Series.rtruediv Series.sub Series.truediv Series.pow Series.rpow Series.mod Series.rmod Series.floordiv Series.rfloordiv Series.divmod Series.rdivmod Series.combine_first Series.lt Series.gt Series.le Series.ge Series.ne Series.eq Series.product Series.dot
.. autosummary:: :toctree: api/ Series.apply Series.agg Series.aggregate Series.transform Series.map Series.groupby Series.rolling Series.expanding Series.pipe
.. autosummary:: :toctree: api/ Series.abs Series.all Series.any Series.between Series.clip Series.corr Series.count Series.cummax Series.cummin Series.cumsum Series.cumprod Series.describe Series.filter Series.kurt Series.mad Series.max Series.mean Series.min Series.mode Series.nlargest Series.nsmallest Series.pct_change Series.prod Series.nunique Series.is_unique Series.quantile Series.rank Series.sem Series.skew Series.std Series.sum Series.median Series.var Series.kurtosis Series.unique Series.value_counts Series.round Series.diff Series.is_monotonic Series.is_monotonic_increasing Series.is_monotonic_decreasing
.. autosummary:: :toctree: api/ Series.align Series.drop Series.droplevel Series.drop_duplicates Series.equals Series.add_prefix Series.add_suffix Series.first Series.head Series.idxmax Series.idxmin Series.isin Series.last Series.rename Series.rename_axis Series.reindex Series.reindex_like Series.reset_index Series.sample Series.swaplevel Series.swapaxes Series.take Series.tail Series.where Series.mask Series.truncate
.. autosummary:: :toctree: api/ Series.backfill Series.bfill Series.isna Series.isnull Series.notna Series.notnull Series.pad Series.dropna Series.fillna
.. autosummary:: :toctree: api/ Series.argsort Series.argmin Series.argmax Series.sort_index Series.sort_values Series.unstack Series.explode Series.repeat Series.squeeze Series.factorize
.. autosummary:: :toctree: api/ Series.append Series.compare Series.replace Series.update
.. autosummary:: :toctree: api/ Series.asof Series.shift Series.first_valid_index Series.last_valid_index Series.at_time Series.between_time
Series.spark provides features that does not exist in pandas but
in Spark. These can be accessed by Series.spark.<function/property>.
.. autosummary:: :toctree: api/ Series.spark.column Series.spark.transform Series.spark.apply
Pandas API on Spark provides dtype-specific methods under various accessors. These are separate namespaces within :class:`Series` that only apply to specific data types.
| Data Type | Accessor |
|---|---|
| Datetime | :ref:`dt <api.series.dt>` |
| String | :ref:`str <api.series.str>` |
| Categorical | :ref:`cat <api.series.cat>` |
Series.dt can be used to access the values of the series as
datetimelike and return several properties.
These can be accessed like Series.dt.<property>.
.. autosummary:: :toctree: api/ Series.dt.date Series.dt.year Series.dt.month Series.dt.day Series.dt.hour Series.dt.minute Series.dt.second Series.dt.microsecond Series.dt.week Series.dt.weekofyear Series.dt.dayofweek Series.dt.weekday Series.dt.dayofyear Series.dt.quarter Series.dt.is_month_start Series.dt.is_month_end Series.dt.is_quarter_start Series.dt.is_quarter_end Series.dt.is_year_start Series.dt.is_year_end Series.dt.is_leap_year Series.dt.daysinmonth Series.dt.days_in_month
.. autosummary:: :toctree: api/ Series.dt.normalize Series.dt.strftime Series.dt.round Series.dt.floor Series.dt.ceil Series.dt.month_name Series.dt.day_name
Series.str can be used to access the values of the series as
strings and apply several methods to it. These can be accessed
like Series.str.<function/property>.
.. autosummary:: :toctree: api/ Series.str.capitalize Series.str.cat Series.str.center Series.str.contains Series.str.count Series.str.decode Series.str.encode Series.str.endswith Series.str.extract Series.str.extractall Series.str.find Series.str.findall Series.str.get Series.str.get_dummies Series.str.index Series.str.isalnum Series.str.isalpha Series.str.isdigit Series.str.isspace Series.str.islower Series.str.isupper Series.str.istitle Series.str.isnumeric Series.str.isdecimal Series.str.join Series.str.len Series.str.ljust Series.str.lower Series.str.lstrip Series.str.match Series.str.normalize Series.str.pad Series.str.partition Series.str.repeat Series.str.replace Series.str.rfind Series.str.rindex Series.str.rjust Series.str.rpartition Series.str.rsplit Series.str.rstrip Series.str.slice Series.str.slice_replace Series.str.split Series.str.startswith Series.str.strip Series.str.swapcase Series.str.title Series.str.translate Series.str.upper Series.str.wrap Series.str.zfill
Categorical-dtype specific methods and attributes are available under
the Series.cat accessor.
.. autosummary:: :toctree: api/ Series.cat.categories Series.cat.ordered Series.cat.codes Series.cat.rename_categories Series.cat.reorder_categories Series.cat.add_categories Series.cat.remove_categories Series.cat.remove_unused_categories Series.cat.set_categories Series.cat.as_ordered Series.cat.as_unordered
Series.plot is both a callable method and a namespace attribute for
specific plotting methods of the form Series.plot.<kind>.
.. autosummary:: :toctree: api/ Series.plot Series.plot.area Series.plot.bar Series.plot.barh Series.plot.box Series.plot.density Series.plot.hist Series.plot.line Series.plot.pie Series.plot.kde Series.hist
.. autosummary:: :toctree: api/ Series.to_pandas Series.to_numpy Series.to_list Series.to_string Series.to_dict Series.to_clipboard Series.to_latex Series.to_markdown Series.to_json Series.to_csv Series.to_excel Series.to_frame
Series.pandas_on_spark provides pandas-on-Spark specific features that exists only in pandas API on Spark.
These can be accessed by Series.pandas_on_spark.<function/property>.
.. autosummary:: :toctree: api/ Series.pandas_on_spark.transform_batch