How to use the napari._vispy.color.colormap.Colormap function in napari
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napari / napari / napari / _vispy / color / colormap.py View on Github 
# Some colormap presets
autumn=Colormap([(1., 0., 0., 1.), (1., 1., 0., 1.)]),
blues=Colormap([(1., 1., 1., 1.), (0., 0., 1., 1.)]),
cool=Colormap([(0., 1., 1., 1.), (1., 0., 1., 1.)]),
greens=Colormap([(1., 1., 1., 1.), (0., 1., 0., 1.)]),
reds=Colormap([(1., 1., 1., 1.), (1., 0., 0., 1.)]),
spring=Colormap([(1., 0., 1., 1.), (1., 1., 0., 1.)]),
summer=Colormap([(0., .5, .4, 1.), (1., 1., .4, 1.)]),
fire=_Fire(),
grays=_Grays(),
hot=_Hot(),
ice=_Ice(),
winter=_Winter(),
light_blues=_SingleHue(),
orange=_SingleHue(hue=35),
viridis=Colormap(ColorArray(_viridis_data)),
# Diverging presets
coolwarm=Colormap(ColorArray(
[
(226, 0.59, 0.92), (222, 0.44, 0.99), (218, 0.26, 0.97),
(30, 0.01, 0.87),
(20, 0.3, 0.96), (15, 0.5, 0.95), (8, 0.66, 0.86)
],
color_space="hsv"
)),
PuGr=_Diverging(145, 280, 0.85, 0.30),
GrBu=_Diverging(255, 133, 0.75, 0.6),
GrBu_d=_Diverging(255, 133, 0.75, 0.6, "dark"),
RdBu=_Diverging(220, 20, 0.75, 0.5),
# Configurable colormaps
cubehelix=CubeHelixColormap,[0.935904, 0.898570, 0.108131],
[0.945636, 0.899815, 0.112838],
[0.955300, 0.901065, 0.118128],
[0.964894, 0.902323, 0.123941],
[0.974417, 0.903590, 0.130215],
[0.983868, 0.904867, 0.136897],
[0.993248, 0.906157, 0.143936]]
_colormaps = dict(
# Some colormap presets
autumn=Colormap([(1., 0., 0., 1.), (1., 1., 0., 1.)]),
blues=Colormap([(1., 1., 1., 1.), (0., 0., 1., 1.)]),
cool=Colormap([(0., 1., 1., 1.), (1., 0., 1., 1.)]),
greens=Colormap([(1., 1., 1., 1.), (0., 1., 0., 1.)]),
reds=Colormap([(1., 1., 1., 1.), (1., 0., 0., 1.)]),
spring=Colormap([(1., 0., 1., 1.), (1., 1., 0., 1.)]),
summer=Colormap([(0., .5, .4, 1.), (1., 1., .4, 1.)]),
fire=_Fire(),
grays=_Grays(),
hot=_Hot(),
ice=_Ice(),
winter=_Winter(),
light_blues=_SingleHue(),
orange=_SingleHue(hue=35),
viridis=Colormap(ColorArray(_viridis_data)),
# Diverging presets
coolwarm=Colormap(ColorArray(
[
(226, 0.59, 0.92), (222, 0.44, 0.99), (218, 0.26, 0.97),
(30, 0.01, 0.87),
(20, 0.3, 0.96), (15, 0.5, 0.95), (8, 0.66, 0.86)[0.926106, 0.897330, 0.104071],
[0.935904, 0.898570, 0.108131],
[0.945636, 0.899815, 0.112838],
[0.955300, 0.901065, 0.118128],
[0.964894, 0.902323, 0.123941],
[0.974417, 0.903590, 0.130215],
[0.983868, 0.904867, 0.136897],
[0.993248, 0.906157, 0.143936]]
_colormaps = dict(
# Some colormap presets
autumn=Colormap([(1., 0., 0., 1.), (1., 1., 0., 1.)]),
blues=Colormap([(1., 1., 1., 1.), (0., 0., 1., 1.)]),
cool=Colormap([(0., 1., 1., 1.), (1., 0., 1., 1.)]),
greens=Colormap([(1., 1., 1., 1.), (0., 1., 0., 1.)]),
reds=Colormap([(1., 1., 1., 1.), (1., 0., 0., 1.)]),
spring=Colormap([(1., 0., 1., 1.), (1., 1., 0., 1.)]),
summer=Colormap([(0., .5, .4, 1.), (1., 1., .4, 1.)]),
fire=_Fire(),
grays=_Grays(),
hot=_Hot(),
ice=_Ice(),
winter=_Winter(),
light_blues=_SingleHue(),
orange=_SingleHue(hue=35),
viridis=Colormap(ColorArray(_viridis_data)),
# Diverging presets
coolwarm=Colormap(ColorArray(
[
(226, 0.59, 0.92), (222, 0.44, 0.99), (218, 0.26, 0.97),
(30, 0.01, 0.87),def __init__(self, h_pos=20, h_neg=250, saturation=1.0, value=0.7,
center="light"):
saturation *= 99
value *= 99
start = husl_to_rgb(h_neg, saturation, value)
mid = ((0.133, 0.133, 0.133) if center == "dark" else
(0.92, 0.92, 0.92))
end = husl_to_rgb(h_pos, saturation, value)
colors = ColorArray([start, mid, end])
super(_Diverging, self).__init__(colors)
class _RedYellowBlueCyan(Colormap):
"""A colormap which is goes red-yellow positive and blue-cyan negative
Parameters
---------
limits : array-like, optional
The limits for the fully transparent, opaque red, and yellow points.
"""
def __init__(self, limits=(0.33, 0.66, 1.0)):
limits = np.array(limits, float).ravel()
if len(limits) != 3:
raise ValueError('limits must have 3 values')
if (np.diff(limits) < 0).any() or (limits <= 0).any():
raise ValueError('limits must be strictly increasing and positive')
controls = np.array([-limits[2], -limits[1], -limits[0],
limits[0], limits[1], limits[2]])def __init__(self, colors, controls=None, interpolation='linear'):
self.interpolation = interpolation
ncontrols = self._ncontrols(len(colors))
# Default controls.
if controls is None:
controls = _default_controls(ncontrols)
assert len(controls) == ncontrols
self._controls = np.array(controls, dtype=np.float32)
# use texture map for luminance to RGBA conversion
self.texture_map_data = np.zeros((LUT_len, 1, 4), dtype=np.float32)
self.glsl_map = self._glsl_map_generator(self._controls, colors,
self.texture_map_data)
super(Colormap, self).__init__(colors)[0.906311, 0.894855, 0.098125],
[0.916242, 0.896091, 0.100717],
[0.926106, 0.897330, 0.104071],
[0.935904, 0.898570, 0.108131],
[0.945636, 0.899815, 0.112838],
[0.955300, 0.901065, 0.118128],
[0.964894, 0.902323, 0.123941],
[0.974417, 0.903590, 0.130215],
[0.983868, 0.904867, 0.136897],
[0.993248, 0.906157, 0.143936]]
_colormaps = dict(
# Some colormap presets
autumn=Colormap([(1., 0., 0., 1.), (1., 1., 0., 1.)]),
blues=Colormap([(1., 1., 1., 1.), (0., 0., 1., 1.)]),
cool=Colormap([(0., 1., 1., 1.), (1., 0., 1., 1.)]),
greens=Colormap([(1., 1., 1., 1.), (0., 1., 0., 1.)]),
reds=Colormap([(1., 1., 1., 1.), (1., 0., 0., 1.)]),
spring=Colormap([(1., 0., 1., 1.), (1., 1., 0., 1.)]),
summer=Colormap([(0., .5, .4, 1.), (1., 1., .4, 1.)]),
fire=_Fire(),
grays=_Grays(),
hot=_Hot(),
ice=_Ice(),
winter=_Winter(),
light_blues=_SingleHue(),
orange=_SingleHue(hue=35),
viridis=Colormap(ColorArray(_viridis_data)),
# Diverging presets
coolwarm=Colormap(ColorArray(
["""Return a texture2D object for LUT after its value is set."""
if self.texture_map_data is not None:
interpolation_mode = 'linear' \
if(str(self.interpolation) == 'linear') \
else 'nearest'
texture_LUT = \
vispy.gloo.Texture2D(np.zeros(self.texture_map_data.shape),
interpolation=interpolation_mode)
texture_LUT.set_data(self.texture_map_data,
offset=None, copy=True)
else:
texture_LUT = None
return texture_LUT
class MatplotlibColormap(Colormap):
"""Use matplotlib colormaps if installed.
Parameters
----------
name : string
Name of the colormap.
"""
def __init__(self, name):
from matplotlib.cm import ScalarMappable
vec = ScalarMappable(cmap=name).to_rgba(np.arange(LUT_len))
Colormap.__init__(self, vec)
class CubeHelixColormap(Colormap):[0.916242, 0.896091, 0.100717],
[0.926106, 0.897330, 0.104071],
[0.935904, 0.898570, 0.108131],
[0.945636, 0.899815, 0.112838],
[0.955300, 0.901065, 0.118128],
[0.964894, 0.902323, 0.123941],
[0.974417, 0.903590, 0.130215],
[0.983868, 0.904867, 0.136897],
[0.993248, 0.906157, 0.143936]]
_colormaps = dict(
# Some colormap presets
autumn=Colormap([(1., 0., 0., 1.), (1., 1., 0., 1.)]),
blues=Colormap([(1., 1., 1., 1.), (0., 0., 1., 1.)]),
cool=Colormap([(0., 1., 1., 1.), (1., 0., 1., 1.)]),
greens=Colormap([(1., 1., 1., 1.), (0., 1., 0., 1.)]),
reds=Colormap([(1., 1., 1., 1.), (1., 0., 0., 1.)]),
spring=Colormap([(1., 0., 1., 1.), (1., 1., 0., 1.)]),
summer=Colormap([(0., .5, .4, 1.), (1., 1., .4, 1.)]),
fire=_Fire(),
grays=_Grays(),
hot=_Hot(),
ice=_Ice(),
winter=_Winter(),
light_blues=_SingleHue(),
orange=_SingleHue(hue=35),
viridis=Colormap(ColorArray(_viridis_data)),
# Diverging presets
coolwarm=Colormap(ColorArray(
[
(226, 0.59, 0.92), (222, 0.44, 0.99), (218, 0.26, 0.97),[0.955300, 0.901065, 0.118128],
[0.964894, 0.902323, 0.123941],
[0.974417, 0.903590, 0.130215],
[0.983868, 0.904867, 0.136897],
[0.993248, 0.906157, 0.143936]]
_colormaps = dict(
# Some colormap presets
autumn=Colormap([(1., 0., 0., 1.), (1., 1., 0., 1.)]),
blues=Colormap([(1., 1., 1., 1.), (0., 0., 1., 1.)]),
cool=Colormap([(0., 1., 1., 1.), (1., 0., 1., 1.)]),
greens=Colormap([(1., 1., 1., 1.), (0., 1., 0., 1.)]),
reds=Colormap([(1., 1., 1., 1.), (1., 0., 0., 1.)]),
spring=Colormap([(1., 0., 1., 1.), (1., 1., 0., 1.)]),
summer=Colormap([(0., .5, .4, 1.), (1., 1., .4, 1.)]),
fire=_Fire(),
grays=_Grays(),
hot=_Hot(),
ice=_Ice(),
winter=_Winter(),
light_blues=_SingleHue(),
orange=_SingleHue(hue=35),
viridis=Colormap(ColorArray(_viridis_data)),
# Diverging presets
coolwarm=Colormap(ColorArray(
[
(226, 0.59, 0.92), (222, 0.44, 0.99), (218, 0.26, 0.97),
(30, 0.01, 0.87),
(20, 0.3, 0.96), (15, 0.5, 0.95), (8, 0.66, 0.86)
],
color_space="hsv"def __init__(self, name):
from matplotlib.cm import ScalarMappable
vec = ScalarMappable(cmap=name).to_rgba(np.arange(LUT_len))
Colormap.__init__(self, vec)
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