pyuncertainnumber.calibration.data_peeling.plots
================================================

.. py:module:: pyuncertainnumber.calibration.data_peeling.plots


Attributes
----------

.. autoapisummary::

   pyuncertainnumber.calibration.data_peeling.plots.FONTSIZE
   pyuncertainnumber.calibration.data_peeling.plots.FIGSIZE
   pyuncertainnumber.calibration.data_peeling.plots.color_dict
   pyuncertainnumber.calibration.data_peeling.plots.cmap
   pyuncertainnumber.calibration.data_peeling.plots.COLORMAP


Functions
---------

.. autoapisummary::

   pyuncertainnumber.calibration.data_peeling.plots.c_
   pyuncertainnumber.calibration.data_peeling.plots.breakout
   pyuncertainnumber.calibration.data_peeling.plots.plot_peeling
   pyuncertainnumber.calibration.data_peeling.plots.plot_one_fuzzy_grad
   pyuncertainnumber.calibration.data_peeling.plots.plot_box
   pyuncertainnumber.calibration.data_peeling.plots.plot_peeling_nx2
   pyuncertainnumber.calibration.data_peeling.plots.plot_peeling_3d
   pyuncertainnumber.calibration.data_peeling.plots.plot_peeling_nxd
   pyuncertainnumber.calibration.data_peeling.plots.plot_scattermatrix
   pyuncertainnumber.calibration.data_peeling.plots.plot_fuzzy
   pyuncertainnumber.calibration.data_peeling.plots.plot_peeling_nxd_back
   pyuncertainnumber.calibration.data_peeling.plots._draw_peeling_cell
   pyuncertainnumber.calibration.data_peeling.plots.plot_peeling_nxd_all
   pyuncertainnumber.calibration.data_peeling.plots.plot_peeling_one


Module Contents
---------------

.. py:data:: FONTSIZE
   :value: 22


.. py:data:: FIGSIZE

.. py:data:: color_dict

.. py:function:: c_(k, alpha=1)

.. py:data:: cmap

.. py:data:: COLORMAP

.. py:function:: breakout(n)

.. py:function:: plot_peeling(x: numpy.typing.NDArray, a, b, p=None, axes3d=False, figsize='medium', grid=True, label='X')

   Plotting function for data peeling results.

   :param x: data set of iid observations
   :type x: NDArray
   :param a: sequence of subindices for each level
   :param b: sequence of boxes or enclosing sets
   :param p: upper violation probability (membership value)


.. py:function:: plot_one_fuzzy_grad(a_fuzzy, p=None, data=None, ax=None, figsize=None, grid=None, color=None, baseline_alpha=0.4, linewidth=0.1, colormap=None, xlabel='$X$', ylabel='$1-\\delta$', flip=False)

.. py:function:: plot_box(box2d, ax=None, figsize=(10, 10), facecolor=None, edgecolor=None, alpha=None, label=None, zorder=None, grid=True)

.. py:function:: plot_peeling_nx2(X, a, b, p: list = None, max_level: int = None, label='X', grid=True, savefig: str = None, figsize=None, baseline_alpha=0.075)

.. py:function:: plot_peeling_3d(x, a, b)

.. py:function:: plot_peeling_nxd(x, a, b, fx=None, p: list = None, figsize=None, aspect='auto', label='X', marker='s', markercolor='grey', boxcolor='blue2', grid=True, baseline_alpha=0.075)

.. py:function:: plot_scattermatrix(x, bins=10, GS=None, figsize=None, aspect='auto', color=None, marker='s', alpha=None, edgecolors='face', grid=True, label='X')

.. py:function:: plot_fuzzy(fuzzy, p=None, data=None, ax=None, figsize=None, grid=False, color=None, baseline_alpha=0.4, linewidth=0.1, colormap=None, xlabel=None, ylabel='$1-\\delta$', flip=False)

   fuzzy: An (l,d_,2) array with projections


.. py:function:: plot_peeling_nxd_back(ux, c, p: list = None, figsize=None, aspect='auto', xlabel='X', ylabel='$1-\\delta$', marker='s', markercolor='grey', boxcolor='blue2', colormap=None, grid=True, baseline_alpha=0.85)

.. py:function:: _draw_peeling_cell(ax, x, b, fx, p, i, j, labels, aspect='auto', marker='s', markercolor='grey', boxcolor='blue2', grid=True, baseline_alpha=0.075)

.. py:function:: plot_peeling_nxd_all(x, a, b, fx=None, p: list = None, figsize=None, aspect='auto', label='X', marker='s', markercolor='grey', boxcolor='blue2', grid=True, baseline_alpha=0.075, return_axes=False)

.. py:function:: plot_peeling_one(x, a, b, i, j, fx=None, p: list = None, figsize=(4, 4), aspect='auto', label='X', marker='s', markercolor='grey', boxcolor='blue2', grid=True, baseline_alpha=0.075)