code: def tricontour(ax, *args, **kwargs):
      """
      Draw contours on an unstructured triangular grid.
      :func:`~matplotlib.pyplot.tricontour` and
      :func:`~matplotlib.pyplot.tricontourf` draw contour lines and
      filled contours, respectively.  Except as noted, function
      signatures and return values are the same for both versions.
  
      The triangulation can be specified in one of two ways; either::
  
          tricontour(triangulation, ...)
  
      where triangulation is a :class:`matplotlib.tri.Triangulation`
      object, or
  
      ::
  
          tricontour(x, y, ...)
          tricontour(x, y, triangles, ...)
          tricontour(x, y, triangles=triangles, ...)
          tricontour(x, y, mask=mask, ...)
          tricontour(x, y, triangles, mask=mask, ...)
  
      in which case a Triangulation object will be created.  See
      :class:`~matplotlib.tri.Triangulation` for a explanation of
      these possibilities.
  
      The remaining arguments may be::
  
          tricontour(..., Z)
  
      where *Z* is the array of values to contour, one per point
      in the triangulation.  The level values are chosen
      automatically.
  
      ::
  
          tricontour(..., Z, N)
  
      contour up to *N+1* automatically chosen contour levels
      (*N* intervals).
  
      ::
  
          tricontour(..., Z, V)
  
      draw contour lines at the values specified in sequence *V*,
      which must be in increasing order.
  
      ::
  
          tricontourf(..., Z, V)
  
      fill the (len(*V*)-1) regions between the values in *V*,
      which must be in increasing order.
  
      ::
  
          tricontour(Z, **kwargs)
  
      Use keyword args to control colors, linewidth, origin, cmap ... see
      below for more details.
  
      ``C = tricontour(...)`` returns a
      :class:`~matplotlib.contour.TriContourSet` object.
  
      Optional keyword arguments:
  
          *colors*: [ *None* | string | (mpl_colors) ]
          If *None*, the colormap specified by cmap will be used.
  
          If a string, like 'r' or 'red', all levels will be plotted in this
          color.
  
          If a tuple of matplotlib color args (string, float, rgb, etc),
          different levels will be plotted in different colors in the order
          specified.
  
          *alpha*: float
          The alpha blending value
  
          *cmap*: [ *None* | Colormap ]
          A cm :class:`~matplotlib.colors.Colormap` instance or
          *None*. If *cmap* is *None* and *colors* is *None*, a
          default Colormap is used.
  
          *norm*: [ *None* | Normalize ]
          A :class:`matplotlib.colors.Normalize` instance for
          scaling data values to colors. If *norm* is *None* and
          *colors* is *None*, the default linear scaling is used.
  
          *levels* [level0, level1, ..., leveln]
          A list of floating point numbers indicating the level
          curves to draw, in increasing order; e.g., to draw just
          the zero contour pass ``levels=[0]``
  
          *origin*: [ *None* | 'upper' | 'lower' | 'image' ]
          If *None*, the first value of *Z* will correspond to the
          lower left corner, location (0,0). If 'image', the rc
          value for ``image.origin`` will be used.
  
          This keyword is not active if *X* and *Y* are specified in
          the call to contour.
  
          *extent*: [ *None* | (x0,x1,y0,y1) ]
  
          If *origin* is not *None*, then *extent* is interpreted as
          in :func:`matplotlib.pyplot.imshow`: it gives the outer
          pixel boundaries. In this case, the position of Z[0,0]
          is the center of the pixel, not a corner. If *origin* is
          *None*, then (*x0*, *y0*) is the position of Z[0,0], and
          (*x1*, *y1*) is the position of Z[-1,-1].
  
          This keyword is not active if *X* and *Y* are specified in
          the call to contour.
  
          *locator*: [ *None* | ticker.Locator subclass ]
          If *locator* is None, the default
          :class:`~matplotlib.ticker.MaxNLocator` is used. The
          locator is used to determine the contour levels if they
          are not given explicitly via the *V* argument.
  
          *extend*: [ 'neither' | 'both' | 'min' | 'max' ]
          Unless this is 'neither', contour levels are automatically
          added to one or both ends of the range so that all data
          are included. These added ranges are then mapped to the
          special colormap values which default to the ends of the
          colormap range, but can be set via
          :meth:`matplotlib.colors.Colormap.set_under` and
          :meth:`matplotlib.colors.Colormap.set_over` methods.
  
          *xunits*, *yunits*: [ *None* | registered units ]
          Override axis units by specifying an instance of a
          :class:`matplotlib.units.ConversionInterface`.
  
  
      tricontour-only keyword arguments:
  
          *linewidths*: [ *None* | number | tuple of numbers ]
          If *linewidths* is *None*, the default width in
          ``lines.linewidth`` in ``matplotlibrc`` is used.
  
          If a number, all levels will be plotted with this linewidth.
  
          If a tuple, different levels will be plotted with different
          linewidths in the order specified
  
          *linestyles*: [ *None* | 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
          If *linestyles* is *None*, the 'solid' is used.
  
          *linestyles* can also be an iterable of the above strings
          specifying a set of linestyles to be used. If this
          iterable is shorter than the number of contour levels
          it will be repeated as necessary.
  
          If contour is using a monochrome colormap and the contour
          level is less than 0, then the linestyle specified
          in ``contour.negative_linestyle`` in ``matplotlibrc``
          will be used.
  
      tricontourf-only keyword arguments:
  
          *antialiased*: bool
          enable antialiasing
  
      Note: tricontourf fills intervals that are closed at the top; that
      is, for boundaries *z1* and *z2*, the filled region is::
  
          z1 < z <= z2
  
      There is one exception: if the lowest boundary coincides with
      the minimum value of the *z* array, then that minimum value
      will be included in the lowest interval.
      """
      if not ax._hold:
          ax.cla()
      kwargs["filled"] = False
      return TriContourSet(ax, *args, **kwargs)
  
file_path: catboost/contrib/python/matplotlib/py2/matplotlib/tri/tricontour.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import six
  from matplotlib.contour import ContourSet
  from matplotlib.tri.triangulation import Triangulation
  import matplotlib._tri
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: tricontour(ax) and returns: TriContourSet