8000 PiecewiseLinearNorm by OceanWolf · Pull Request #5061 · matplotlib/matplotlib · GitHub
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PiecewiseLinearNorm #5061

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PiecewiseLinearNorm #5061

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05c1b76
ENH: Add OffsetNorm and tests
phobson Nov 27, 2014
8ad54f3
fix OffsetNorm docstring to numpydoc spec
phobson Mar 30, 2015
03e506c
OffsetNorm blurb in whats_new
phobson Mar 30, 2015
04ea107
removed OffsetNorm.inverse method
phobson Jun 6, 2015
62c9efc
attempting to create a baseline image
phobson Jun 6, 2015
d95db3c
fix bad indexing when returning a scalar
phobson Jun 8, 2015
3cc84a6
the real test image
phobson Jun 8, 2015
47c447a
refactor tests a bit to handle non-invertable Norms
phobson Jun 8, 2015
36042b6
OffsetNorm -> PiecewiseLinearNorm
dopplershift Jul 11, 2015
56cbae2
Propagate mask from input data
jkseppan Sep 3, 2015
1d1ff98
Remove unused clip parameter
jkseppan Sep 3, 2015
14b6837
Use process_value in PiecewiseLinearNorm
jkseppan Sep 3, 2015
a8d4956
Return a scalar when passed in a scalar
jkseppan Sep 3, 2015
31bfd2a
Return 0.5 for vcenter == vmax
jkseppan Sep 3, 2015
a68fff3
pep8 fixes
jkseppan Sep 3, 2015
3293971
PiecewiseLinearNorm
OceanWolf Sep 14, 2015
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fix bad indexing when returning a scalar
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@phobson @OceanWolf
phobson authored and OceanWolf committed Sep 13, 2015
commit d95db3c7e51f874c6fcfdedad0df5c8eaa8c0168
4 changes: 1 addition & 3 deletions lib/matplotlib/colors.py
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Expand Up @@ -1034,11 +1034,9 @@ def __call__(self, value, clip=None):
mask=mask)

x, y = [vmin, vcenter, vmax], [0, 0.5, 1]
# returns a scalar if shape == (1,)
result = np.ma.masked_array(np.interp(value, x, y))

if is_scalar:
result = result[0]

return result

def autoscale_None(self, A):
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