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FIX: process lists for inverse norms #19240

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Merged
merged 1 commit into from
Jan 5, 2021
Merged

FIX: process lists for inverse norms #19240

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10 changes: 6 additions & 4 deletions lib/matplotlib/colors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1449,12 +1449,14 @@ def inverse(self, value):
t_vmin, t_vmax = self._trf.transform([self.vmin, self.vmax])
if not np.isfinite([t_vmin, t_vmax]).all():
raise ValueError("Invalid vmin or vmax")
value, is_scalar = self.process_value(value)
rescaled = value * (t_vmax - t_vmin)
rescaled += t_vmin
return (self._trf
.inverted()
.transform(rescaled)
.reshape(np.shape(value)))
value = (self._trf
.inverted()
.transform(rescaled)
.reshape(np.shape(value)))
return value[0] if is_scalar else value

Norm.__name__ = base_norm_cls.__name__
Norm.__qualname__ = base_norm_cls.__qualname__
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11 changes: 11 additions & 0 deletions lib/matplotlib/tests/test_colors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -460,6 +460,17 @@ def test_LogNorm():
assert_array_equal(ln([1, 6]), [0, 1.0])


def test_LogNorm_inverse():
"""
Test that lists work, and that the inverse works
"""
norm = mcolors.LogNorm(vmin=0.1, vmax=10)
assert_array_almost_equal(norm([0.5, 0.4]), [0.349485, 0.30103])
assert_array_almost_equal([0.5, 0.4], norm.inverse([0.349485, 0.30103]))
assert_array_almost_equal(norm(0.4), [0.30103])
assert_array_almost_equal([0.4], norm.inverse([0.30103]))


def test_PowerNorm():
a = np.array([0, 0.5, 1, 1.5], dtype=float)
pnorm = mcolors.PowerNorm(1)
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