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Document auto-init behavior of colors.Normalize and cm.ScalarMappable. #3628

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Merged
merged 4 commits into from
Oct 16, 2014
Merged

Document auto-init behavior of colors.Normalize and cm.ScalarMappable. #3628

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828bc58
Document auto-init behavior of colors.Normalize and cm.ScalarMappable.
Oct 10, 2014
7145d19
Merge branch 'master' of https://github.com/matplotlib/matplotlib
switham Oct 15, 2014
0385071
Tweaks to colors.Normalize and cm.ScalarMappable docstrings.
switham Oct 15, 2014
1f07ab1
rm trailing whitespace added in 828bc58 or 0385071
switham Oct 15, 2014
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Tweaks to colors.Normalize and cm.ScalarMappable docstrings. 
modified:   cm.py in ScalarMappable.__init__
    "If not given or *None*," ==> "If *None*,"

modified:   colors.py in Normalize.__call__
    Removed this: "``norm.__call__(value) <==> norm(value)``"
    Mentioned that __call__ takes *value* and returns
        the normalized data.
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@switham
switham committed Oct 15, 2014
commit 038507120acbafa5bd96adcf555047f81d90c7ae
6 changes: 2 additions & 4 deletions lib/matplotlib/cm.py
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Expand Up @@ -178,12 +178,10 @@ def __init__(self, norm=None, cmap=None):
norm : :class:`matplotlib.colors.Normalize` instance
The normalizing object which scales data, typically into the
interval ``[0, 1]``.
If not given or *None*, norm defaults to a *colors.Normalize*
object which initializes its scaling based on the first
data processed.
If *None*, *norm* defaults to a *colors.Normalize* object which
initializes its scaling based on the first data processed.
cmap : str or :class:`~matplotlib.colors.Colormap` instance
The colormap used to map normalized data values to RGBA colors.

"""

self.callbacksSM = cbook.CallbackRegistry()
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10 changes: 4 additions & 6 deletions lib/matplotlib/colors.py
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Expand Up @@ -905,12 +905,10 @@ def process_value(value):

def __call__(self, value, clip=None):
"""
``norm.__call__(value) <==> norm(value)``

Normalize data in the ``[vmin, vmax]`` interval into the
``[0.0, 1.0]`` interval. *clip* defaults to *self.clip*
(which defaults to *False*). If not already initialized,
*vmin* and *vmax* are initialized using
Normalize *value* data in the ``[vmin, vmax]`` interval into
the ``[0.0, 1.0]`` interval and return it. *clip* defaults
to *self.clip* (which defaults to *False*). If not already
initialized, *vmin* and *vmax* are initialized using
*autoscale_None(value)*.
"""
if clip is None:
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