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Commit 7803974

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Debug doc build fail
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‎lib/matplotlib/axes/_axes.py

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+10-10Lines changed: 10 additions & 10 deletions
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@@ -5055,7 +5055,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
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and the `cmap` (mapping the normed scalar to a color).
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cmap : `~matplotlib.colors.Colormap`, \
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`~matplotlib.colors.BivariateColormap`optional, default: None
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`~matplotlib.colors.BivariateColormap`, optional, default: None
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If None, default to rc `image.cmap` value. `cmap` is ignored
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if `X` is 3-D but not bivariate, directly specifying RGB(A) values.
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@@ -5082,7 +5082,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
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'nearest'.
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norm : `~matplotlib.colors.Normalize`, \
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`matplotlib.colors.BivariateNorm` optional, default: None
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`matplotlib.colors.BivariateNorm`, optional, default: None
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A `~matplotlib.colors.Normalize` instance is used to scale
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a 2-D float `X` input to the (0, 1) range for input to the
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`cmap`. If `norm` is None, use the default func:`normalize`.
@@ -5302,12 +5302,12 @@ def pcolor(self, *args, **kwargs):
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vectors, they will be expanded as needed into the appropriate 2-D
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arrays, making a rectangular grid.
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cmap : `~matplotlib.colors.Colormap` or \
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`matplotlib.colors.BivariateColormap` optional, default: None
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cmap : `~matplotlib.colors.Colormap` or
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`matplotlib.colors.BivariateColormap`, optional, default: None
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If `None`, default to rc settings.
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norm : `matplotlib.colors.Normalize` or \
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`matplotlib.colors.BivariateNorm` optional, default: None
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norm : `matplotlib.colors.Normalize` or
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`matplotlib.colors.BivariateNorm`, optional, default: None
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An instance is used to scale luminance data to (0, 1).
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If `None`, defaults to :func:`normalize`.
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@@ -5574,12 +5574,12 @@ def pcolormesh(self, *args, **kwargs):
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Keyword arguments:
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*cmap*: [ *None* | Colormap ]
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A :class:`matplotlib.colors.Colormap` or \
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A :class:`matplotlib.colors.Colormap` or
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:class:`matplotlib.colors.BivariateColormap`instance. If *None*,
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use rc settings.
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*norm*: [ *None* | Normalize ]
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A :class:`matplotlib.colors.Normalize` or \
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A :class:`matplotlib.colors.Normalize` or
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:class:`matplotlib.colors.BivariateNorm` instance is used to
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scale luminance data to 0,1. If *None*, defaults to
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:func:`normalize`.
@@ -5767,12 +5767,12 @@ def pcolorfast(self, *args, **kwargs):
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Optional keyword arguments:
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*cmap*: [ *None* | Colormap ]
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A :class:`matplotlib.colors.Colormap` or \
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A :class:`matplotlib.colors.Colormap` or
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:class:`matplotlib.colors.BivariateColormap` instance from cm.
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If *None*, use rc settings.
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*norm*: [ *None* | Normalize ]
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A :class:`matplotlib.colors.Normalize` or \
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A :class:`matplotlib.colors.Normalize` or
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:class:`matplotlib.colors.BivariateNorm` instance is used to scale
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luminance data to 0,1. If *None*, defaults to normalize()
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