follow new convention for "shape" and "len" in docstrings
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@ -29,7 +29,7 @@ class Colormap(mpl.colors.ListedColormap):
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Enhance matplotlib colormap functionality to be used within DAMASK.
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Colors are internally stored as R(ed) G(green) B(lue) values.
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The colormap can be used in matplotlib, seaborn, etc., and can
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The colormap can be used in matplotlib, seaborn, etc., or can
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exported to file for external use.
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References
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@ -72,8 +72,8 @@ class Colormap(mpl.colors.ListedColormap):
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ax1.set_axis_off()
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ax1.imshow(np.linspace(0,1,self.N).reshape(1,-1),
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aspect='auto', cmap=self, interpolation='nearest')
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plt.show(block = False)
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return 'Colormap: '+self.name
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plt.show(block=False)
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return f'Colormap: {self.name}'
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@staticmethod
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@ -87,16 +87,16 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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low : iterable of float (3)
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low : sequence of float, len (3)
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Color definition for minimum value.
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high : iterable of float (3)
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high : sequence of float, len (3)
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Color definition for maximum value.
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name : str, optional
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Name of the colormap. Defaults to 'DAMASK colormap'.
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N : int, optional
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Number of color quantization levels. Defaults to 256.
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model : {'rgb', 'hsv', 'hsl', 'xyz', 'lab', 'msh'}
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Color model used for input color definitions. Defaults to `rgb`.
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Color model used for input color definitions. Defaults to 'rgb'.
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The available color models are:
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- 'rgb': Red Green Blue.
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- 'hsv': Hue Saturation Value.
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@ -200,9 +200,9 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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field : numpy.array of shape (:,:)
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field : numpy.array, shape (:,:)
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Data to be shaded.
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bounds : iterable of float (2), optional
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bounds : sequence of float, len (2), optional
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Value range (low,high) spanned by colormap.
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gap : field.dtype, optional
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Transparent value. NaN will always be rendered transparent.
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@ -269,10 +269,10 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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fname : file, str, pathlib.Path, or None
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Filename or file handle.
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Name or handle of file.
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If None, colormap name + suffix.
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suffix: str, optional
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Extension to use for colormap filename.
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Extension to use for colormap file.
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Returns
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-------
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@ -295,8 +295,7 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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fname : file, str, or pathlib.Path, optional
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Filename to store results. If not given, the filename will
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consist of the name of the colormap with extension '.json'.
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File to store results. Defaults to colormap name + '.json'.
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"""
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colors = []
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@ -323,8 +322,7 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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fname : file, str, or pathlib.Path, optional
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Filename to store results. If not given, the filename will
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consist of the name of the colormap with extension '.txt'.
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File to store results. Defaults to colormap name + '.txt'.
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"""
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labels = {'RGBA':4} if self.colors.shape[1] == 4 else {'RGB': 3}
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@ -339,8 +337,7 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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fname : file, str, or pathlib.Path, optional
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Filename to store results. If not given, the filename will
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consist of the name of the colormap with extension '.legend'.
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File to store results. Defaults to colormap name + '.legend'.
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"""
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# ToDo: test in GOM
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@ -360,8 +357,7 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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fname : file, str, or pathlib.Path, optional
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Filename to store results. If not given, the filename will
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consist of the name of the colormap with extension '.msh'.
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File to store results. Defaults to colormap name + '.msh'.
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"""
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# ToDo: test in gmsh
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@ -457,12 +453,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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hsv : numpy.ndarray of shape (3)
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hsv : numpy.ndarray, shape (3)
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HSV values.
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Returns
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-------
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rgb : numpy.ndarray of shape (3)
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rgb : numpy.ndarray, shape (3)
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RGB values.
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"""
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@ -475,12 +471,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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rgb : numpy.ndarray of shape (3)
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rgb : numpy.ndarray, shape (3)
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RGB values.
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Returns
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-------
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hsv : numpy.ndarray of shape (3)
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hsv : numpy.ndarray, shape (3)
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HSV values.
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"""
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@ -495,12 +491,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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hsl : numpy.ndarray of shape (3)
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hsl : numpy.ndarray, shape (3)
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HSL values.
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Returns
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-------
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rgb : numpy.ndarray of shape (3)
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rgb : numpy.ndarray, shape (3)
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RGB values.
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"""
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@ -513,12 +509,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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rgb : numpy.ndarray of shape (3)
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rgb : numpy.ndarray, shape (3)
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RGB values.
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Returns
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-------
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hsl : numpy.ndarray of shape (3)
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hsl : numpy.ndarray, shape (3)
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HSL values.
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"""
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@ -533,12 +529,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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xyz : numpy.ndarray of shape (3)
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xyz : numpy.ndarray, shape (3)
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CIE Xyz values.
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Returns
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-------
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rgb : numpy.ndarray of shape (3)
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rgb : numpy.ndarray, shape (3)
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RGB values.
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References
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@ -563,12 +559,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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rgb : numpy.ndarray of shape (3)
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rgb : numpy.ndarray, shape (3)
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RGB values.
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Returns
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-------
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xyz : numpy.ndarray of shape (3)
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xyz : numpy.ndarray, shape (3)
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CIE Xyz values.
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References
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@ -591,12 +587,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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lab : numpy.ndarray of shape (3)
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lab : numpy.ndarray, shape (3)
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CIE lab values.
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Returns
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-------
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xyz : numpy.ndarray of shape (3)
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xyz : numpy.ndarray, shape (3)
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CIE Xyz values.
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References
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@ -620,12 +616,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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xyz : numpy.ndarray of shape (3)
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xyz : numpy.ndarray, shape (3)
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CIE Xyz values.
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Returns
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-------
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lab : numpy.ndarray of shape (3)
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lab : numpy.ndarray, shape (3)
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CIE lab values.
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References
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@ -650,12 +646,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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lab : numpy.ndarray of shape (3)
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lab : numpy.ndarray, shape (3)
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CIE lab values.
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Returns
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-------
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msh : numpy.ndarray of shape (3)
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msh : numpy.ndarray, shape (3)
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Msh values.
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References
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@ -678,12 +674,12 @@ class Colormap(mpl.colors.ListedColormap):
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Parameters
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----------
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msh : numpy.ndarray of shape (3)
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msh : numpy.ndarray, shape (3)
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Msh values.
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Returns
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-------
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lab : numpy.ndarray of shape (3)
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lab : numpy.ndarray, shape (3)
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CIE lab values.
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References
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