pastas.plotting.plots.series
============================

.. py:function:: pastas.plotting.plots.series(head: pandas.Series | None = None, stresses: list[pandas.Series] | None = None, hist: bool = True, kde: bool = False, table: bool = False, titles: bool = True, tmin: pandas.Timestamp | str | None = None, tmax: pandas.Timestamp | str | None = None, colors_stresses: list[str] | None = None, labels: list[str] | None = None, figsize: tuple = (10, 5), **kwargs) -> pastas.typing.Axes

   
   Plot all the input time Series in a single plot.

   :param head: Pandas time series with DatetimeIndex.
   :type head: pd.Series
   :param stresses: List with Pandas time series with DatetimeIndex.
   :type stresses: list of pd.Series
   :param hist: Histogram for the series. The number of bins is determined with Sturges rule.
   :type hist: bool
   :param kde: Kernel density estimate for the series. The kde is obtained from
               scipy.gaussian_kde using scott to calculate the estimator bandwidth. Returns
               the number of observations, mean, skew and kurtosis.
   :type kde: bool
   :param table: Show table with some basic statistics such as the number of
                 observations, mean, skew and kurtosis.
   :type table: bool
   :param titles: Set the titles or not. Taken from the name attribute of the series.
   :type titles: bool
   :param tmin:
   :type tmin: str or Timestamp
   :param tmax:
   :type tmax: str or Timestamp
   :param colors_stresses: List with the matplotlib colorcodes to use for plotting each stress timeseries.
                           If list is shorter than number of stresses, the remaining stresses are plotted
                           in black. If None (default), default matplotlib colors will be used.
   :type colors_stresses: list of str
   :param labels: List with the labels for each subplot.
   :type labels: list of str
   :param figsize: Set the size of the figure.
   :type figsize: tuple
   :param kwargs: keyword arguments passed to plotting functions of stress timeseries

   :rtype: matplotlib.Axes















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