height = rect.get_height() # 获取柱子的高度 ax.text(rect.get_x() + rect.get_width() / 2, height, f'{height:.2f}', ha='center', va='bottom') # 在柱子上添加数值标签 # 设置图表样式和标签 ax.set_xlabel('Year') # 设置x轴标签 ax.set_ylabel('Value') # 设置y轴标签 ax.set_...
text(bar.get_width() - bar.get_width()*0.55, bar.get_y() + bar.get_height()/2.4, f'{width/100:.0%}', color='white', fontsize=14) 绘制结果如下: 最后,我们还可以在 100% 的位置绘制一条基准线,以便更为直观地观察各组数据相较于基准值的大小。 data = range(100, 125, 5) y_...
height = rect.get_height() plt.text(rect.get_x() + rect.get_width() / 2, height, str(height), ha='center', va='bottom') for rect in rects2: height = rect.get_height() plt.text(rect.get_x() + rect.get_width() / 2, height, str(height), ha='center', va='bottom') p...
for idx2, lim in enumerate(limits): ax.barh([1], lim - prev_limit, left=prev_limit, height=h, color=palette[idx2]) prev_limit = lim rects = ax.patches ax.barh([1], item[1], height=(h / 3), color=bar_color) ymin, ymax = ax.get_ylim() ax.vlines( item[2], ymin...
xy=(b.get_x() + b.get_width() / 2, height), xytext=(0, 3), # 3 points vertical offset textcoords="offset points",color='red', ha='center', va='bottom') ax2 = fig.add_subplot(122) bar2 = ax2.barh(y=bar_x, width=means, height=bar_width, color='green', tick_label...
bars=plt.bar(x_bar,y_bar,color='steelblue',label=x_bar,width=5)# 在柱状图上标注数值:fori,recinenumerate(bars):x_text=rec.get_x()# 获取柱形图横坐标 可以+/-数值使其居中 y_text=rec.get_height()+0.02# 获取柱子的高度+0.02plt.text(x_text,y_text,'%.2f'%y_bar[i],fontsize=15)#...
categories=['A','B','C','D']values1=[20,35,30,35]values2=[25,25,15,30]plt.figure(figsize=(10,6))bars1=plt.bar(categories,values1,label='Group 1')bars2=plt.bar(categories,values2,bottom=values1,label='Group 2')defadd_labels(bars):forbarinbars:height=bar.get_height()plt.te...
在这个例子中,bar.get_y() + bar.get_height() / 2用于确定标签的垂直位置,str(width)用于将条形图的值转换为字符串并显示在标签中,ha='left'表示标签位于条形图的右侧,va='center'表示标签在垂直方向上居中对齐。 显示图形: 代码语言:txt 复制 plt.show() 这样就可以在matplotlib中的水平条形图顶部...
height = rect.get_height() plt.text(rect.get_x() + rect.get_width() / 2, height + 1, str(height), ha='center', va='bottom') for rect in rects2: height = rect.get_height() plt.text(rect.get_x() + rect.get_width() / 2, height + 1, str(height), ha='center', va=...
ax.annotate(f'{height2}', xy=(rect2.get_x() + rect2.get_width() / 2, total_height), xytext=(0, 3), textcoords='offset points', ha='center', va='bottom') 显示图形 最后,使用plt.show()函数显示绘制好的堆叠柱状图,代码如下: ...