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Commitf936378

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‎lib/matplotlib/colorizer.py

Lines changed: 6 additions & 6 deletions
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@@ -249,7 +249,7 @@ def set_clim(self, vmin=None, vmax=None):
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The limits.
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For scalar data, the limits may also be passed as a
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tuple (*vmin*, *vmax*)as asingle positional argument.
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tuple (*vmin*, *vmax*) single positional argument.
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.. ACCEPTS: (vmin: float, vmax: float)
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"""
@@ -635,7 +635,7 @@ def _get_colorizer(cmap, norm, colorizer):
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cmap : str, `~matplotlib.colors.Colormap`, `~matplotlib.colors.BivarColormap`\
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or `~matplotlib.colors.MultivarColormap`, default: :rc:`image.cmap`
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The Colormap instance or registered colormap name used to map
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scalar/multivariatedata to colors.
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data values to colors.
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Multivariate data is only accepted if a multivariate colormap
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(`~matplotlib.colors.BivarColormap` or `~matplotlib.colors.MultivarColormap`)
@@ -660,13 +660,13 @@ def _get_colorizer(cmap, norm, colorizer):
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before mapping to colors using *cmap*. By default, a linear scaling is
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used, mapping the lowest value to 0 and the highest to 1.
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If given, this can be one of the following:
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This can be one of the following:
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- An instance of `.Normalize` or one of its subclasses
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(see :ref:`colormapnorms`).
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- A scale name, i.e. one of "linear", "log", "symlog", "logit", etc. For a
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list of available scales, call `matplotlib.scale.get_scale_names()`.
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Inthat case, a suitable `.Normalize` subclass is dynamically generated
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Inthis case, a suitable `.Normalize` subclass is dynamically generated
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and instantiated.
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- A list of scale names or `.Normalize` objects matching the number of
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variates in the colormap, for use with `~matplotlib.colors.BivarColormap`
@@ -686,8 +686,8 @@ def _get_colorizer(cmap, norm, colorizer):
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*vmin*/*vmax* when a *norm* instance is given (but using a `str` *norm*
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name together with *vmin*/*vmax* is acceptable).
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A list can be used to define independent limits for each variate when
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using a `~matplotlib.colors.BivarColormap` or
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A listof values (vmin or vmax)can be used to define independent limits
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for each variate whenusing a `~matplotlib.colors.BivarColormap` or
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`~matplotlib.colors.MultivarColormap`.""",
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)
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