added Colormap.at(fraction) to interpolate
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@ -6,6 +6,7 @@ from pathlib import Path
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from typing import Sequence, Union, TextIO
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import numpy as np
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import scipy.interpolate as interp
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import matplotlib as mpl
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if os.name == 'posix' and 'DISPLAY' not in os.environ:
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mpl.use('Agg')
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@ -191,6 +192,28 @@ class Colormap(mpl.colors.ListedColormap):
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return Colormap.from_range(definition['low'],definition['high'],name,N)
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def at(self,
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fraction : float) -> np.ndarray:
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"""
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Interpolate color at fraction.
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Parameters
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----------
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fraction : float
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Fractional coordinate to evaluate Colormap at.
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Returns
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-------
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color : np.ndarray, shape(3)
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RGB values of interpolated color.
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"""
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return interp.interp1d(np.linspace(0,1,self.N),
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self.colors,
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axis=0,
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assume_sorted=True)(fraction)
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def shade(self,
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field: np.ndarray,
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bounds: Sequence[float] = None,
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@ -213,7 +236,6 @@ class Colormap(mpl.colors.ListedColormap):
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RGBA image of shaded data.
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"""
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N = len(self.colors)
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mask = np.logical_not(np.isnan(field) if gap is None else \
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np.logical_or (np.isnan(field), field == gap)) # mask NaN (and gap if present)
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@ -227,7 +249,7 @@ class Colormap(mpl.colors.ListedColormap):
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return Image.fromarray(
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(np.dstack((
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self.colors[(np.round(np.clip((field-lo)/(hi-lo),0.0,1.0)*(N-1))).astype(np.uint16),:3],
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self.colors[(np.round(np.clip((field-lo)/(hi-lo),0.0,1.0)*(self.N-1))).astype(np.uint16),:3],
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mask.astype(float)
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)
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)*255
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@ -343,7 +365,7 @@ class Colormap(mpl.colors.ListedColormap):
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# ToDo: test in GOM
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GOM_str = '1 1 {name} 9 {name} '.format(name=self.name.replace(" ","_")) \
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+ '0 1 0 3 0 0 -1 9 \\ 0 0 0 255 255 255 0 0 255 ' \
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+ f'30 NO_UNIT 1 1 64 64 64 255 1 0 0 0 0 0 0 3 0 {len(self.colors)}' \
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+ f'30 NO_UNIT 1 1 64 64 64 255 1 0 0 0 0 0 0 3 0 {self.N}' \
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+ ' '.join([f' 0 {c[0]} {c[1]} {c[2]} 255 1' for c in reversed((self.colors*255).astype(int))]) \
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+ '\n'
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@ -139,6 +139,13 @@ class TestColormap:
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c += c
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assert (np.allclose(c.colors[:len(c.colors)//2],c.colors[len(c.colors)//2:]))
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@pytest.mark.parametrize('N,cmap',[
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(8,'gray'),
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(17,'gray'),
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])
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def test_at(self, N, cmap):
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assert np.allclose(Colormap.from_predefined(cmap,N=N).at(0.5)[:3],0.5,rtol=0.005)
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@pytest.mark.parametrize('bounds',[None,[2,10]])
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def test_shade(self,ref_path,update,bounds):
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data = np.add(*np.indices((10, 11)))
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