我们从Python开源项目中，提取了以下2个代码示例，用于说明如何使用matplotlib.pyplot.axhspan()。
def draw_timeline(self): plt.axhspan(0.97, 0.98, 0.1, 0.9, facecolor='#808080', linewidth=0) for year in range(2006, 2017): plt.text(0.1 + 0.75*(year-2006)/10.0, 0.96, "%d" % year, size = 10, weight='bold', color='white', horizontalalignment='left', verticalalignment='top', transform=plt.gca().transAxes) cur = self.current_date * self.ticks_in_week + self.tick top = len(self.dates) * self.ticks_in_week pos = 0.1 + 0.8 * (float(cur) / float(top)) plt.axvline(pos, 0.963, 0.987, color='orange', linewidth=3) plt.text(0.95, 0.01, "http://0x0fff.com", size=8, weight='bold', style='italic', color='white', horizontalalignment='center', transform=plt.gca().transAxes) return
def runsimplot(self): """ Viz of the MC results """ tdmin = self.iniest.td - 3.0*self.iniest.tderr tdmax = self.iniest.td + 3.0*self.iniest.tderr fig = plt.figure(figsize=(6, 3)) fig.subplots_adjust(top=0.95, bottom=0.2) plt.scatter(self.simtruedelays, self.simmesdelays - self.simtruedelays) plt.xlim(tdmin, tdmax) plt.xlabel("True delay [day]") plt.ylabel("Measurement error [day]") plt.axvline(self.iniest.td - self.iniest.tderr, color="gray", linestyle="-", zorder=20) plt.axvline(self.iniest.td + self.iniest.tderr, color="gray", linestyle="-", zorder=20) plt.axhline(0, color="black", linestyle="-", zorder=20) plt.axhline(- self.iniest.tderr, color="gray", linestyle="-", zorder=20) plt.axhline(+ self.iniest.tderr, color="gray", linestyle="-", zorder=20) plt.axhspan(-self.outest.tderr, self.outest.tderr, xmin=0, xmax=1, lw=0, color="red", alpha=0.2) #plt.ylim(- 2.0*self.iniest.tderr, + 2.0*self.iniest.tderr) plt.figtext(0.15, 0.8, "Total/initial error ratio: %.2f" % self.totalratio) #ax = plt.gca() #plt.figtext(0.15, 0.8, "Intrinsic/initial error ratio: %.2f" % self.intrinsicratio) #plt.axvline(self.iniest.td - self.iniest.tderr, color="gray", linestyle="-", zorder=20) #plt.axvline(self.iniest.td + self.iniest.tderr, color="gray", linestyle="-", zorder=20) #plt.axvline(self.outest.td, color="red", linestyle="-", zorder=20) plt.savefig(os.path.join(self.plotdir, "measvstrue.png")) plt.close()
