Classe « Axes »

Méthode matplotlib.figure.Axes.bxp

Signature de la méthode bxp

def bxp(self, bxpstats, positions=None, widths=None, vert=True, patch_artist=False, shownotches=False, showmeans=False, showcaps=True, showbox=True, showfliers=True, boxprops=None, whiskerprops=None, flierprops=None, medianprops=None, capprops=None, meanprops=None, meanline=False, manage_ticks=True, zorder=None) 

Description

bxp.__doc__

        Drawing function for box and whisker plots.

        Make a box and whisker plot for each column of *x* or each
        vector in sequence *x*.  The box extends from the lower to
        upper quartile values of the data, with a line at the median.
        The whiskers extend from the box to show the range of the
        data.  Flier points are those past the end of the whiskers.

        Parameters
        ----------
        bxpstats : list of dicts
          A list of dictionaries containing stats for each boxplot.
          Required keys are:

          - ``med``: The median (scalar float).

          - ``q1``: The first quartile (25th percentile) (scalar
            float).

          - ``q3``: The third quartile (75th percentile) (scalar
            float).

          - ``whislo``: Lower bound of the lower whisker (scalar
            float).

          - ``whishi``: Upper bound of the upper whisker (scalar
            float).

          Optional keys are:

          - ``mean``: The mean (scalar float). Needed if
            ``showmeans=True``.

          - ``fliers``: Data beyond the whiskers (sequence of floats).
            Needed if ``showfliers=True``.

          - ``cilo`` & ``cihi``: Lower and upper confidence intervals
            about the median. Needed if ``shownotches=True``.

          - ``label``: Name of the dataset (string). If available,
            this will be used a tick label for the boxplot

        positions : array-like, default: [1, 2, ..., n]
          The positions of the boxes. The ticks and limits
          are automatically set to match the positions.

        widths : array-like, default: None
          Either a scalar or a vector and sets the width of each
          box. The default is ``0.15*(distance between extreme
          positions)``, clipped to no less than 0.15 and no more than
          0.5.

        vert : bool, default: True
          If `True` (default), makes the boxes vertical.  If `False`,
          makes horizontal boxes.

        patch_artist : bool, default: False
          If `False` produces boxes with the `.Line2D` artist.
          If `True` produces boxes with the `~matplotlib.patches.Patch` artist.

        shownotches : bool, default: False
          If `False` (default), produces a rectangular box plot.
          If `True`, will produce a notched box plot

        showmeans : bool, default: False
          If `True`, will toggle on the rendering of the means

        showcaps  : bool, default: True
          If `True`, will toggle on the rendering of the caps

        showbox  : bool, default: True
          If `True`, will toggle on the rendering of the box

        showfliers : bool, default: True
          If `True`, will toggle on the rendering of the fliers

        boxprops : dict or None (default)
          If provided, will set the plotting style of the boxes

        whiskerprops : dict or None (default)
          If provided, will set the plotting style of the whiskers

        capprops : dict or None (default)
          If provided, will set the plotting style of the caps

        flierprops : dict or None (default)
          If provided will set the plotting style of the fliers

        medianprops : dict or None (default)
          If provided, will set the plotting style of the medians

        meanprops : dict or None (default)
          If provided, will set the plotting style of the means

        meanline : bool, default: False
          If `True` (and *showmeans* is `True`), will try to render the mean
          as a line spanning the full width of the box according to
          *meanprops*. Not recommended if *shownotches* is also True.
          Otherwise, means will be shown as points.

        manage_ticks : bool, default: True
          If True, the tick locations and labels will be adjusted to match the
          boxplot positions.

        zorder : float, default: ``Line2D.zorder = 2``
          The zorder of the resulting boxplot.

        Returns
        -------
        dict
          A dictionary mapping each component of the boxplot to a list
          of the `.Line2D` instances created. That dictionary has the
          following keys (assuming vertical boxplots):

          - ``boxes``: the main body of the boxplot showing the
            quartiles and the median's confidence intervals if
            enabled.

          - ``medians``: horizontal lines at the median of each box.

          - ``whiskers``: the vertical lines extending to the most
            extreme, non-outlier data points.

          - ``caps``: the horizontal lines at the ends of the
            whiskers.

          - ``fliers``: points representing data that extend beyond
            the whiskers (fliers).

          - ``means``: points or lines representing the means.

        Examples
        --------
        .. plot:: gallery/statistics/bxp.py