本文整理汇总了Python中matplotlib.patches.Ellipse.set_label方法的典型用法代码示例。如果您正苦于以下问题：Python Ellipse.set_label方法的具体用法？Python Ellipse.set_label怎么用？Python Ellipse.set_label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matplotlib.patches.Ellipse的用法示例。
在下文中一共展示了Ellipse.set_label方法的1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: TestSingleCellPlot
# 需要导入模块: from matplotlib.patches import Ellipse [as 别名]
# 或者: from matplotlib.patches.Ellipse import set_label [as 别名]
def TestSingleCellPlot(extractor):
extractor.basic_props(splineSmooth)
extractor.shape_props()
extractor.cell_centre_fit()
padding = 10
fixed_perim = NP.transpose(extractor.perim_img)
perim_img_ind = NP.where(fixed_perim == 1)
xlim_min = min(perim_img_ind[1])
xlim_max = max(perim_img_ind[1])
ylim_min = min(perim_img_ind[0])
ylim_max = max(perim_img_ind[0])
U = extractor.spl_u
OUT = interpolate.splev(U, extractor.spl_poly)
BDY_FEATS = extractor.bdy_fvector
# Create Circle/Ellipse plot
fig = PLT.figure(1)
ax = fig.add_subplot(111, aspect='equal')
# Create circle plot
c = PLT.Circle((extractor.ccm_fvector[0],
extractor.ccm_fvector[1]),
extractor.ccm_fvector[2])
xlim_min = min(xlim_min, extractor.ccm_fvector[0] - extractor.ccm_fvector[2])
xlim_max = max(xlim_max, extractor.ccm_fvector[0] + extractor.ccm_fvector[2])
ylim_min = min(ylim_min, extractor.ccm_fvector[1] - extractor.ccm_fvector[2])
ylim_max = max(ylim_max, extractor.ccm_fvector[1] + extractor.ccm_fvector[2])
# Create ellipse plot
e = Ellipse(xy=NP.array([extractor.ellipse_fvector[0], extractor.ellipse_fvector[1]]),
width = extractor.ellipse_fvector[4],
height = extractor.ellipse_fvector[3],
angle = extractor.ellipse_fvector[5]/(2*NP.pi)*360)
# Compute horizontal width and height of the oriented ellipse
a = extractor.ellipse_fvector[4]/2.0
b = extractor.ellipse_fvector[3]/2.0
alpha = extractor.ellipse_fvector[5]
x_c = extractor.ellipse_fvector[0]
y_c = extractor.ellipse_fvector[1]
x_b = 0
y_b = 0
if a > b:
x_b = abs(a * math.cos(alpha))
y_b = abs(a * math.cos(alpha))
else:
x_b = abs(b * math.sin(alpha))
y_b = abs(b * math.cos(alpha))
xlim_min = min(xlim_min, x_c - x_b)
xlim_max = max(xlim_max, x_c + x_b)
ylim_min = min(ylim_min, y_c - y_b)
ylim_max = max(ylim_max, y_c + y_b)
PLT.imshow(fixed_perim, interpolation='nearest', cmap='Greys')
perimeter = conv_distance(extractor.perim_3pv)[0]
PLT.xticks([])
PLT.yticks([])
PLT.plot(extractor.perim_coord_poly[:,0], extractor.perim_coord_poly[:,1], label='Polygon Fit (Perimeter = %.2f um)'%perimeter, color='g', lw=2)
ax.add_artist(c)
c.set_alpha(1)
c.set_facecolor('none')
c.set_edgecolor('blue')
c.set_linewidth(3)
c.set_label('Circle')
ax.add_artist(e)
e.set_alpha(1)
e.set_facecolor('none')
e.set_edgecolor('orange')
e.set_linewidth(3)
e.set_label('Ellipse')
PLT.plot(0, 0, color='blue', label='Circle Fit (Variance = %.2f)'%extractor.ccm_fvector[5], lw=2)
PLT.plot(0, 0, color='orange', label='Ellipse Fit (Variance = %.2f)'%extractor.ellipse_fvector[8], lw=2)
lgd = PLT.legend(bbox_to_anchor=(0.0, 1.1, 1.0, 1.5), loc=3, ncol=1, mode=None, fontsize="small", borderaxespad=0.2, fancybox=True, shadow=True)
ax.set_xlim([xlim_min - padding, xlim_max + padding])
ax.set_ylim([ylim_min - padding, ylim_max + padding])
PLT.xticks([])
PLT.yticks([])
PLT.savefig(outFolder + pifFileName + '_Fits.png', bbox_extra_artists=(lgd,), bbox_inches='tight', dpi = 400)
# Create spline plot with boundary color based on magnitude and parity of curvature
fig, (ax1, ax2) = PLT.subplots(1, 2, gridspec_kw = {'width_ratios':[1,10]})
knorm = expit(extractor.spl_k/max(abs(extractor.spl_k))*10)
norm = matplotlib.colors.Normalize(vmin=NP.min(extractor.spl_k), vmax=NP.max(extractor.spl_k))
#.........这里部分代码省略.........