本文整理汇总了Python中colour.Color.saturation方法的典型用法代码示例。如果您正苦于以下问题：Python Color.saturation方法的具体用法？Python Color.saturation怎么用？Python Color.saturation使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类colour.Color的用法示例。
在下文中一共展示了Color.saturation方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: generate_background
# 需要导入模块: from colour import Color [as 别名]
# 或者: from colour.Color import saturation [as 别名]
def generate_background(self):
hue_offset = promap(int(self.hash[14:][:3], 16), 0, 4095, 0, 359)
sat_offset = int(self.hash[17:][:1], 16)
base_color = Color(hsl=(0, .42, .41))
base_color.hue = base_color.hue - hue_offset
if sat_offset % 2:
base_color.saturation = base_color.saturation + sat_offset / 100
else:
base_color.saturation = base_color.saturation - sat_offset / 100
rgb = base_color.rgb
r = int(round(rgb[0] * 255))
g = int(round(rgb[1] * 255))
b = int(round(rgb[2] * 255))
return self.svg.rect(0, 0, '100%', '100%', **{
'fill': 'rgb({}, {}, {})'.format(r, g, b)
})示例2: generate_branding_style_secondary
# 需要导入模块: from colour import Color [as 别名]
# 或者: from colour.Color import saturation [as 别名]
def generate_branding_style_secondary(self):
styles = dict();
if self.has_accent_color:
accent = Color(self.safe_accent_color)
accent.luminance = accent.luminance * 0.9 if accent.luminance * 0.9 >= 0 else 0;
accent.saturation = accent.saturation * 1.1 if accent.saturation * 1.1 <= 1 else 1
styles['background-color'] = accent.hex
return self.css_style(styles);示例3: add_line
# 需要导入模块: from colour import Color [as 别名]
# 或者: from colour.Color import saturation [as 别名]
def add_line(self, x, y, name='plot', xerr=None, yerr=None, linewidth=0.5,
linestyle=None, linecolor='black', legend=True, axes=None):
if axes is None:
axes = self.ax
self.plotnum = self.plotnum + 1
if name is 'plot':
name = 'plot%d' % (self.plotnum)
if linestyle is None:
_ls = self.linestyle[self.plotnum % 4]
else:
_ls = linestyle
if xerr is None and yerr is None:
line = axes.plot(x, y, label=name, color=linecolor,
marker=self.marker[self.plotnum % 7],
ls=_ls, lw=linewidth, solid_capstyle='butt',
clip_on=True)
for i in range(0, len(line)):
self.lines[name + '%d' % (i)] = (line[i])
else:
if linecolor == 'black':
ecolor = '#A7A9AC'
else:
col = Color(linecolor)
col.saturation = 0.5
col.luminance = 0.75
ecolor = col.hex
line, caplines, barlinecols = axes.errorbar(x, y, label=name,
color=linecolor,
xerr=xerr,
yerr=yerr,
marker=self.marker[self.plotnum % 7],
ls=_ls,
ecolor=ecolor,
lw=linewidth,
clip_on=True)
self.lines[name] = (line)
self.markers_on()
self.lines_off()示例4: plot_conjugate_conics
# 需要导入模块: from colour import Color [as 别名]
# 或者: from colour.Color import saturation [as 别名]
def plot_conjugate_conics(ax, axes, width=None, plot_foci=False, plot_inverse_hyperbola=False):
hyp, = ax.plot(*hyperbola(axes), color='dodgerblue', label='Hyperboloid (bundle of planes)')
# Normal vector ellipse axes lengths
# scales inversely\ with axes but can
# be rescaled at will
ax1,center = __inverse_ellipse(axes)
if plot_inverse_hyperbola:
# Plot inverse hyperbola
color = Color('red')
color.saturation = 0.8
color.luminance = 0.85
hyp_inv, = ax.plot(*hyperbola(1/axes, opens_up=True),
color=str(color), zorder=-1,
label='Inverse hyperboloid')
ell, = ax.plot(*ellipse(ax1, center=[0,center]), color='red',
label='Normal vector endpoint (fixed length)')
ax.plot(*ellipse(axes), zorder=-5, color=hyp.get_color(),alpha=0.5, linewidth=1,
label='Variance ellipsoid')
if plot_foci:
# Plot hyperbola focus
hyp_c = N.sqrt(N.sum(axes**2))
ax.plot([0,0],[hyp_c,-hyp_c], '.', color=hyp.get_color())
# Plot ellipse foci
c = ax1**2
c.sort()
c[0] *= -1
ell_c = N.sqrt(N.sum(c))
# Plot ellipse foci
ax.plot([0,0],[center+ell_c,center-ell_c], '.', color=ell.get_color())
# Plot tangents
xvals = N.array([-500,500])
yvals = axes[1]/axes[0]*xvals
kw = dict(zorder=-1, color=hyp.get_color(), linewidth=0.5)
ax.plot(xvals, yvals, ':', **kw, label='Hyperbolic tangents')
ax.plot(xvals, -yvals, ':', **kw)
#yvals = axes[0]/axes[1]*xvals
kw = dict(zorder=-1, color=ell.get_color(), linewidth=0.5)
ax.plot(yvals, xvals, ':', **kw, label='Normal vector tangents')
ax.plot(yvals, -xvals, ':', **kw)
_ = 4
if axes[1] > 0.5*axes[0]:
_ = 6
if width is None:
width = N.linalg.norm(axes)*_
lim = N.array([-width,width])/2
ax.set_xlim(lim)
ax.set_ylim(lim*0.6)
ax.set_aspect(1)
return ax