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Merge branch 'simplified-colormap' into 'development' 

simplified

See merge request damask/DAMASK!487
This commit is contained in:
Daniel Otto de Mentock 2022-01-03 13:15:00 +00:00
parent 510a26ded9 508083082d
commit a177e32ff2
1 changed files with 8 additions and 5 deletions
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13
python/damask/_colormap.py
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@ -236,7 +236,7 @@ class Colormap(mpl.colors.ListedColormap):
Parameters
----------
field : numpy.array, shape (:,:)
field : numpy.ndarray, shape (:,:)
Data to be shaded.
bounds : sequence of float, len (2), optional
Value range (left,right) spanned by colormap.
@ -616,7 +616,7 @@ class Colormap(mpl.colors.ListedColormap):
@staticmethod
def _lab2xyz(lab: np.ndarray, ref_white: np.ndarray = None) -> np.ndarray:
def _lab2xyz(lab: np.ndarray, ref_white: np.ndarray = _REF_WHITE) -> np.ndarray:
"""
CIE Lab to CIE Xyz.
@ -624,6 +624,8 @@ class Colormap(mpl.colors.ListedColormap):
----------
lab : numpy.ndarray, shape (3)
CIE lab values.
ref_white : numpy.ndarray, shape (3)
Reference white, default value is the standard 2° observer for D65.
Returns
-------
@ -642,10 +644,10 @@ class Colormap(mpl.colors.ListedColormap):
f_x**3. if f_x**3. > _EPS else (116.*f_x-16.)/_KAPPA,
((lab[0]+16.)/116.)**3 if lab[0]>_KAPPA*_EPS else lab[0]/_KAPPA,
f_z**3. if f_z**3. > _EPS else (116.*f_z-16.)/_KAPPA
])*(ref_white if ref_white is not None else _REF_WHITE)
])*ref_white
@staticmethod
def _xyz2lab(xyz: np.ndarray, ref_white: np.ndarray = None) -> np.ndarray:
def _xyz2lab(xyz: np.ndarray, ref_white: np.ndarray = _REF_WHITE) -> np.ndarray:
"""
CIE Xyz to CIE Lab.
@ -653,6 +655,8 @@ class Colormap(mpl.colors.ListedColormap):
----------
xyz : numpy.ndarray, shape (3)
CIE Xyz values.
ref_white : numpy.ndarray, shape (3)
Reference white, default value is the standard 2° observer for D65.
Returns
-------
@ -664,7 +668,6 @@ class Colormap(mpl.colors.ListedColormap):
http://www.brucelindbloom.com/index.html?Eqn_Lab_to_XYZ.html
"""
ref_white = ref_white if ref_white is not None else _REF_WHITE
f = np.where(xyz/ref_white > _EPS,(xyz/ref_white)**(1./3.),(_KAPPA*xyz/ref_white+16.)/116.)
return np.array([