示例#1
0
def _unsupported_function_rolling(method_name, deprecated=False, reason=""):
    return unsupported_function(
        class_name="pandas.core.window.Rolling",
        method_name=method_name,
        deprecated=deprecated,
        reason=reason,
    )
示例#2
0
def _unsupported_function(method_name, deprecated=False, reason=""):
    return unsupported_function(
        class_name="pd.groupby.GroupBy",
        method_name=method_name,
        deprecated=deprecated,
        reason=reason,
    )
示例#3
0
文件: indexes.py 项目: yliou/spark
def _unsupported_function(method_name, deprecated=False, reason="", cls="Index"):
    return unsupported_function(
        class_name="pd.{}".format(cls),
        method_name=method_name,
        deprecated=deprecated,
        reason=reason,
    )
示例#4
0
def _unsupported_function(method_name, deprecated=False, reason=""):
    return unsupported_function(
        class_name="pd.resample.Resampler",
        method_name=method_name,
        deprecated=deprecated,
        reason=reason,
    )
示例#5
0
def _unsupported_function_exponential_moving(method_name,
                                             deprecated=False,
                                             reason=""):
    return unsupported_function(
        class_name="pandas.core.window.ExponentialMovingWindow",
        method_name=method_name,
        deprecated=deprecated,
        reason=reason,
    )
示例#6
0
    def box(self, **kwds):
        """
        Make a box plot of the Series columns.

        Parameters
        ----------
        **kwds : optional
            Additional keyword arguments are documented in
            :meth:`pyspark.pandas.Series.plot`.

        precision: scalar, default = 0.01
            This argument is used by pandas-on-Spark to compute approximate statistics
            for building a boxplot. Use *smaller* values to get more precise
            statistics (matplotlib-only).

        Returns
        -------
        :class:`plotly.graph_objs.Figure`
            Return an custom object when ``backend!=plotly``.
            Return an ndarray when ``subplots=True`` (matplotlib-only).

        Notes
        -----
        There are behavior differences between pandas-on-Spark and pandas.

        * pandas-on-Spark computes approximate statistics - expect differences between
          pandas and pandas-on-Spark boxplots, especially regarding 1st and 3rd quartiles.
        * The `whis` argument is only supported as a single number.
        * pandas-on-Spark doesn't support the following argument(s) (matplotlib-only).

          * `bootstrap` argument is not supported
          * `autorange` argument is not supported

        Examples
        --------
        Draw a box plot from a DataFrame with four columns of randomly
        generated data.

        For Series:

        .. plotly::

            >>> data = np.random.randn(25, 4)
            >>> df = ps.DataFrame(data, columns=list('ABCD'))
            >>> df['A'].plot.box()  # doctest: +SKIP

        This is an unsupported function for DataFrame type
        """
        from pyspark.pandas import DataFrame, Series

        if isinstance(self.data, Series):
            return self(kind="box", **kwds)
        elif isinstance(self.data, DataFrame):
            return unsupported_function(class_name="pd.DataFrame",
                                        method_name="box")()
示例#7
0
def _unsupported_function(method_name, deprecated=False, reason=""):
    return unsupported_function(class_name="pd.DataFrame",
                                method_name=method_name,
                                deprecated=deprecated,
                                reason=reason)
示例#8
0
 def hexbin(self, **kwds):
     return unsupported_function(class_name="pd.DataFrame",
                                 method_name="hexbin")()