def choose_diverging(name=opts, n=(2, 16),
desat=FloatSliderWidget(min=0, max=1, value=1),
variant=variants):
if variant == "reverse":
name += "_r"
pal[:] = color_palette(name, n, desat)
palplot(pal)
if as_cmap:
colors = color_palette(name, 256, desat)
_update_lut(cmap, np.c_[colors, np.ones(256)])
def choose_sequential(name=opts,
n=(2, 18),
desat=FloatSliderWidget(min=0, max=1, value=1),
variant=variants):
if variant == "reverse":
name += "_r"
elif variant == "dark":
name += "_d"
if as_cmap:
colors = color_palette(name, 256, desat)
_update_lut(cmap, np.c_[colors, np.ones(256)])
_show_cmap(cmap)
else:
pal[:] = color_palette(name, n, desat)
palplot(pal)
def _widget_abbrev_single_value(o):
"""Make widgets from single values, which can be used as parameter defaults."""
if isinstance(o, string_types):
return TextWidget(value=unicode_type(o))
elif isinstance(o, dict):
return DropdownWidget(values=o)
elif isinstance(o, bool):
return CheckboxWidget(value=o)
elif isinstance(o, float):
min, max, value = _get_min_max_value(None, None, o)
return FloatSliderWidget(value=o, min=min, max=max)
elif isinstance(o, int):
min, max, value = _get_min_max_value(None, None, o)
return IntSliderWidget(value=o, min=min, max=max)
else:
return None
def choose_cubehelix(n_colors=IntSliderWidget(min=1, max=15, value=6),
start=FloatSliderWidget(min=0, max=3, value=0),
rot=FloatSliderWidget(min=-1, max=1, value=.4),
gamma=FloatSliderWidget(min=0, max=5, value=1),
hue=FloatSliderWidget(min=0, max=1, value=.8),
dark=FloatSliderWidget(min=0, max=1, value=.15),
light=FloatSliderWidget(min=0, max=1, value=.85),
reverse=False):
palplot(
cubehelix_palette(n_colors, start, rot, gamma, hue, dark, light,
reverse))
def choose_cubehelix(n_colors=IntSliderWidget(min=2, max=16, value=9),
start=FloatSliderWidget(min=0, max=3, value=0),
rot=FloatSliderWidget(min=-1, max=1, value=.4),
gamma=FloatSliderWidget(min=0, max=5, value=1),
hue=FloatSliderWidget(min=0, max=1, value=.8),
light=FloatSliderWidget(min=0, max=1, value=.85),
dark=FloatSliderWidget(min=0, max=1, value=.15),
reverse=False):
pal[:] = cubehelix_palette(n_colors, start, rot, gamma, hue, light,
dark, reverse)
palplot(pal)
if as_cmap:
colors = cubehelix_palette(256, start, rot, gamma, hue, light,
dark, reverse)
_update_lut(cmap, np.c_[colors, np.ones(256)])
def choose_qualitative(name=opts,
n=(2, 16),
desat=FloatSliderWidget(min=0, max=1, value=1)):
pal[:] = color_palette(name, n, desat)
palplot(pal)
