diff --git a/examples/scales/custom_scale.py b/examples/scales/custom_scale.py
index b4a4ea243527..9893cd189aaa 100644
--- a/examples/scales/custom_scale.py
+++ b/examples/scales/custom_scale.py
@@ -114,10 +114,7 @@ class MercatorLatitudeTransform(mtransforms.Transform):
# being connected together. When defining transforms for a
# scale, which are, by definition, separable and have only one
# dimension, these members should always be set to 1.
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, thresh):
mtransforms.Transform.__init__(self)
@@ -150,10 +147,7 @@ def inverted(self):
self.thresh)
class InvertedMercatorLatitudeTransform(mtransforms.Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, thresh):
mtransforms.Transform.__init__(self)
@@ -165,6 +159,7 @@ def transform_non_affine(self, a):
def inverted(self):
return MercatorLatitudeScale.MercatorLatitudeTransform(self.thresh)
+
# Now that the Scale class has been defined, it must be registered so
# that ``matplotlib`` can find it.
mscale.register_scale(MercatorLatitudeScale)
diff --git a/lib/matplotlib/scale.py b/lib/matplotlib/scale.py
index 690bb2733d43..e164ed710f1d 100644
--- a/lib/matplotlib/scale.py
+++ b/lib/matplotlib/scale.py
@@ -128,10 +128,7 @@ class FuncTransform(Transform):
forward and inverse transform.
"""
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, forward, inverse):
"""
@@ -205,10 +202,7 @@ def set_default_locators_and_formatters(self, axis):
@cbook.deprecated("3.1", alternative="LogTransform")
class LogTransformBase(Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, nonpos='clip'):
Transform.__init__(self)
@@ -224,10 +218,7 @@ def __str__(self):
@cbook.deprecated("3.1", alternative="InvertedLogTransform")
class InvertedLogTransformBase(Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def transform_non_affine(self, a):
return ma.power(self.base, a)
@@ -285,10 +276,7 @@ def inverted(self):
class LogTransform(Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, base, nonpos='clip'):
Transform.__init__(self)
@@ -326,10 +314,7 @@ def inverted(self):
class InvertedLogTransform(InvertedLogTransformBase):
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, base):
Transform.__init__(self)
@@ -466,10 +451,7 @@ def get_transform(self):
class SymmetricalLogTransform(Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, base, linthresh, linscale):
Transform.__init__(self)
@@ -495,10 +477,7 @@ def inverted(self):
class InvertedSymmetricalLogTransform(Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, base, linthresh, linscale):
Transform.__init__(self)
@@ -610,10 +589,7 @@ def get_transform(self):
class LogitTransform(Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, nonpos='mask'):
Transform.__init__(self)
@@ -638,10 +614,7 @@ def __str__(self):
class LogisticTransform(Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
- has_inverse = True
+ input_dims = output_dims = 1
def __init__(self, nonpos='mask'):
Transform.__init__(self)
diff --git a/lib/matplotlib/transforms.py b/lib/matplotlib/transforms.py
index ce126c81ea73..f5cf451b413a 100644
--- a/lib/matplotlib/transforms.py
+++ b/lib/matplotlib/transforms.py
@@ -1191,9 +1191,14 @@ class Transform(TransformNode):
- :attr:`input_dims`
- :attr:`output_dims`
- :meth:`transform`
- - :attr:`is_separable`
- - :attr:`has_inverse`
- - :meth:`inverted` (if :attr:`has_inverse` is True)
+ - :meth:`inverted` (if an inverse exists)
+
+ The following attributes may be overridden if the default is unsuitable:
+
+ - :attr:`is_separable` (defaults to True for 1d -> 1d transforms, False
+ otherwise)
+ - :attr:`has_inverse` (defaults to True if :meth:`inverted` is overridden,
+ False otherwise)
If the transform needs to do something non-standard with
:class:`matplotlib.path.Path` objects, such as adding curves
@@ -1201,6 +1206,7 @@ class Transform(TransformNode):
- :meth:`transform_path`
"""
+
input_dims = None
"""
The number of input dimensions of this transform.
@@ -1213,11 +1219,25 @@ class Transform(TransformNode):
Must be overridden (with integers) in the subclass.
"""
+ is_separable = False
+ """True if this transform is separable in the x- and y- dimensions."""
+
has_inverse = False
"""True if this transform has a corresponding inverse transform."""
- is_separable = False
- """True if this transform is separable in the x- and y- dimensions."""
+ def __init_subclass__(cls):
+ # 1d transforms are always separable; we assume higher-dimensional ones
+ # are not but subclasses can also directly set is_separable.
+ if ("is_separable" not in vars(cls) # Was it overridden explicitly?
+ and cls.input_dims == cls.output_dims == 1):
+ cls.is_separable = True
+ # Transform.inverted raises NotImplementedError; we assume that if this
+ # is overridden then the transform is invertible but subclass can also
+ # directly set has_inverse.
+ if ("has_inverse" not in vars(cls) # Was it overridden explicitly?
+ and hasattr(cls, "inverted")
+ and cls.inverted is not Transform.inverted):
+ cls.has_inverse = True
def __add__(self, other):
"""
@@ -1733,8 +1753,6 @@ class Affine2DBase(AffineBase):
Subclasses of this class will generally only need to override a
constructor and :meth:`get_matrix` that generates a custom 3x3 matrix.
"""
- has_inverse = True
-
input_dims = 2
output_dims = 2
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