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_...
plt.text(x = bar.get_x() + w/2, y = h + 0.5, s = y1[i], ha ='center') bars2 = plt.bar(x+w/2,height=y2,width=w) for i,bar in enumerate(bars2): h = bar.get_height() w = bar.get_width() plt.text(x = bar.get_x() + w/2, y = h + 0.5, s = y1...
rects = plt.barh(x, prob, height=0.5) plt.yticks(fontsize=12, rotation=45) plt.xlim(0, 1) # 在柱状图上添加概率标注 for rect in rects: width = rect.get_width() plt.text(width, rect.get_y() + 0.5/2, str(width), va='center') plt.show() # 还可以横向绘制 rects = plt....
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...
bar1 = ax1.bar(x=bar_x, height=means, width=bar_width, color='green', tick_label=label ) for b in bar1: height = b.get_height() ax1.annotate('{}'.format(height), xy=(b.get_x() + b.get_width() / 2, height),
categories=['A','B','C','D','E']values=[25,-15,30,-10,40]plt.figure(figsize=(10,6))bars=plt.bar(categories,values)forbarinbars:height=bar.get_height()plt.text(bar.get_x()+bar.get_width()/2.,heightifheight>=0elseheight-1,f'{height}',ha='center',va='bottom'ifheight>=...
>>> plt.bar(left = 0,height = 1) <Container object of 1 artists> >>>plt.show() 首先我们import了matplotlib.pyplot ,然后直接调用其bar方法,最后用show显示图像。我解释一下bar中的两个參数: · left:柱形的左边缘的位置。假设我们指定1那么当前柱形的左边缘的x值就是1.0了 ...
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=...
height=rect.get_height() ax.annotate(f'{height}', xy=(rect.get_x() + rect.get_width() / 2, height), xytext=(0, 3), textcoords='offset points', ha='center', va='bottom')forrect1, rect2inzip(rects1, rects2): height1=rect1.get_height() ...