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Clean up BoundaryNorm docstring #8007

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45 changes: 28 additions & 17 deletions lib/matplotlib/colors.py
Original file line number Diff line number Diff line change
Expand Up @@ -1247,25 +1247,29 @@ class BoundaryNorm(Normalize):
"""
def __init__(self, boundaries, ncolors, clip=False):
"""
*boundaries*
a monotonically increasing sequence
*ncolors*
number of colors in the colormap to be used

If::

b[i] <= v < b[i+1]
Parameters
----------
boundaries : array-like
Monotonically increasing sequence of boundaries
ncolors : int
Number of colors in the colormap to be used
clip : bool, optional
If clip is ``True``, out of range values are mapped to 0 if they
are below ``boundaries[0]`` or mapped to ncolors - 1 if they are
above ``boundaries[-1]``.

If clip is ``False``, out of range values are mapped to -1 if
they are below ``boundaries[0]`` or mapped to ncolors if they are
above ``boundaries[-1]``. These are then converted to valid indices
by :meth:`Colormap.__call__`.

then v is mapped to color j;
as i varies from 0 to len(boundaries)-2,
j goes from 0 to ncolors-1.
Notes
-----
*boundaries* defines the edges of bins, and data falling within a bin
is mapped to the color with the same index.

Out-of-range values are mapped
to -1 if low and ncolors if high; these are converted
to valid indices by
:meth:`Colormap.__call__` .
If clip == True, out-of-range values
are mapped to 0 if low and ncolors-1 if high.
If the number of bins doesn't equal *ncolors*, the color is chosen
by linear interpolation of the bin number onto color numbers.
"""
self.clip = clip
self.vmin = boundaries[0]
Expand Down Expand Up @@ -1304,6 +1308,13 @@ def __call__(self, value, clip=None):
return ret

def inverse(self, value):
"""
Raises
------
ValueError
BoundaryNorm is not invertible, so calling this method will always
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raise an error
"""
return ValueError("BoundaryNorm is not invertible")


Expand Down