def plot_scale(self, values, palette="YlGnBu"):
"""
Generates a color scale based on the flux distribution.
It makes an array containing the absolute values and minus absolute values.
The colors set as follows (p standsfor palette colors array):
min -2*std -std 0 std 2*std max
|-------|-------|-------|-------|-------|-------|
p[2] p[2] .. p[1] .. p[0] .. p[1] .. p[2] p[2]
Arguments
---------
palette: Palette, list, str
A Palette from palettable of equivalent, a list of colors (size 3) or a palette name
Returns
-------
tuple
((-2*std, color), (-std, color) (0 color) (std, color) (2*std, color))
"""
if isinstance(palette, six.string_types):
palette = mapper.map_palette(palette, 3)
palette = palette.hex_colors
elif isinstance(palette, Palette):
palette = palette.hex_colors
std = numpy.std(values)
return (-2 * std, palette[2]), (-std, palette[1]), (0, palette[0]), (std, palette[1]), (2 * std, palette[2])
def plot_scale(self, values, palette="YlGnBu"):
"""
Generates a color scale based on the flux distribution.
It makes an array containing the absolute values and minus absolute values.
The colors set as follows (p standsfor palette colors array):
min -2*std -std 0 std 2*std max
|-------|-------|-------|-------|-------|-------|
p[2] p[2] .. p[1] .. p[0] .. p[1] .. p[2] p[2]
Arguments
---------
palette: Palette, list, str
A Palette from palettable of equivalent, a list of colors (size 3) or a palette name
Returns
-------
tuple
((-2*std, color), (-std, color) (0 color) (std, color) (2*std, color))
"""
if isinstance(palette, six.string_types):
palette = mapper.map_palette(palette, 3)
palette = palette.hex_colors
elif isinstance(palette, Palette):
palette = palette.hex_colors
std = numpy.std(values)
return (-2 * std, palette[2]), (-std, palette[1]), (0, palette[0]), (std, palette[1]), (2 * std, palette[2])
def plot_scale(self, palette="YlGnBu"):
"""
Generates a color scale based on the flux distribution.
It makes an array containing the absolute values and minus absolute values.
The colors set as follows (p standsfor palette colors array):
min -2*std -std 0 std 2*std max
|-------|-------|-------|-------|-------|-------|
p[0] p[0] .. p[1] .. p[2] .. p[3] .. p[-1] p[-1]
Arguments
---------
palette: Palette, list, str
A Palette from palettable of equivalent, a list of colors (size 5) or a palette name
Returns
-------
tuple:
((-2*std, color), (-std, color) (0 color) (std, color) (2*std, color))
"""
if isinstance(palette, str):
palette = mapper.map_palette(palette, 5)
palette = palette.hex_colors
elif isinstance(palette, Palette):
palette = palette.hex_colors
values = [abs(v) for v in self.normalized_gaps if not (numpy.isnan(v) or numpy.isinf(v))]
values += [-v for v in values]
std = numpy.std(values)
return (-2 * std, palette[0]), (-std, palette[1]), (0, palette[2]), (std, palette[3]), (2 * std, palette[4])
def _palette(palette, number):
if isinstance(palette, six.string_types):
palette = mapper.map_palette(palette, number)
if isinstance(palette, collections.Iterable):
return palette
elif isinstance(palette, Palette):
return palette.hex_colors
else:
raise ValueError("Invalid palette %s" % palette)
def _palette(palette, number):
if isinstance(palette, six.string_types):
palette = mapper.map_palette(palette, number)
if isinstance(palette, collections.Iterable):
return palette
elif isinstance(palette, Palette):
return palette.hex_colors
else:
raise ValueError("Invalid palette %s" % palette)
def plot_scale(self, palette="YlGnBu"):
"""
Generates a color scale based on the flux distribution.
It makes an array containing the absolute values and minus absolute values.
The colors set as follows (p standsfor palette colors array):
min -2*std -std 0 std 2*std max
|-------|-------|-------|-------|-------|-------|
p[0] p[0] .. p[1] .. p[2] .. p[3] .. p[-1] p[-1]
Arguments
---------
palette: Palette, list, str
A Palette from palettable of equivalent, a list of colors (size 5) or a palette name
Returns
-------
tuple:
((-2*std, color), (-std, color) (0 color) (std, color) (2*std, color))
"""
if isinstance(palette, str):
palette = mapper.map_palette(palette, 5)
palette = palette.hex_colors
elif isinstance(palette, Palette):
palette = palette.hex_colors
values = [
abs(v) for v in self.normalized_gaps
if not (numpy.isnan(v) or numpy.isinf(v))
]
values += [-v for v in values]
std = numpy.std(values)
return (-2 * std, palette[0]), (-std, palette[1]), (0, palette[2]), (
std, palette[3]), (2 * std, palette[4])
def plot_scale(self, palette="YlGnBu"):
"""
Generates a color scale based on the flux distribution.
It makes an array containing the absolute values and minus absolute values.
The colors set as follows (p standsfor palette colors array):
min -2*std -std 0 std 2*std max
|-------|-------|-------|-------|-------|-------|
p[0] p[0] .. p[1] .. p[2] .. p[3] .. p[-1] p[-1]
Parameters
----------
palette: Palette, list, str
A Palette from palettable of equivalent, a list of colors (size 5) or a palette name
Returns
-------
tuple:
((-2*std, color), (-std, color) (0 color) (std, color) (2*std, color))
"""
if isinstance(palette, str):
palette = mapper.map_palette(palette, 5)
palette = palette.hex_colors
elif isinstance(palette, Palette):
palette = palette.hex_colors
values = self.solutions['normalized_gaps'].values
values = numpy.abs(values[numpy.isfinite(values)])
values = numpy.append(values, -values)
std = numpy.std(values)
return (-2 * std, palette[0]), (-std, palette[1]), (0, palette[2]), (
std, palette[3]), (2 * std, palette[4])
