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Displaying colorbars with specified boundaries correctly #17453

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Displaying colorbars with specified boundaries correctly #17453

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36 changes: 33 additions & 3 deletions lib/matplotlib/colorbar.py
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Original file line number Diff line number Diff line change
Expand Up @@ -575,8 +575,8 @@ def _get_ticker_locator_formatter(self):
else:
locator = _ColorbarAutoLocator(self)
else:
b = self._boundaries[self._inside]
locator = ticker.FixedLocator(b, nbins=10)
b = self.boundaries[self._inside]
locator = ticker.FixedLocator(b)

if formatter is None:
if isinstance(self.norm, colors.LogNorm):
Expand Down Expand Up @@ -892,7 +892,37 @@ def _process_values(self, b=None):
b = self.boundaries
if b is not None:
self._boundaries = np.asarray(b, dtype=float)
if self.values is None:
if self.values is None and self.boundaries is not None:
# define the outside additions
if self.extend == 'min':
to_add = self._boundaries[0]
elif self.extend == 'max':
to_add = self._boundaries[-1]
elif self.extend == 'both':
to_add = self._boundaries[[0, -1]]
elif self.extend == 'neither':
to_add = []
# add values to the colorbar insides
boundaries_inside = self._boundaries[self._inside]
n_between = max((self.cmap.N-len(to_add)) //
(len(boundaries_inside)-1), 1)
self._values = np.linspace(boundaries_inside[:-1],
boundaries_inside[1:],
n_between, endpoint=False,
axis=-1).flatten()
self._values = np.append(self._values, boundaries_inside[-1])
# add back in the boundaries for the extensions
self._boundaries = np.sort(np.concatenate([to_add,
self._values]))
# calculate values at which to plot colors
self._values = 0.5 * (self._values[:-1] + self._values[1:])
# add back in the boundaries for the extensions, display
# colors of extensions at boundary values
self._values = np.sort(np.concatenate([to_add,
self._values]))
if isinstance(self.norm, colors.NoNorm):
self._values = (self._values + 0.00001).astype(np.int16)
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would np.round be a better option here?

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I changed only the indentation on line 924. I'll have to investigate what it does.

elif self.values is None and self.boundaries is None:
self._values = 0.5 * (self._boundaries[:-1]
+ self._boundaries[1:])
if isinstance(self.norm, colors.NoNorm):
Expand Down