ax=plt.subplots()# 绘制水平柱状图bars=ax.barh(categories,values,color='skyblue')ax.bar_label(bars,labels=[f'{val*100:.2f}%'forvalinvalues])# 设置标题和标签ax.set_title('Horizontal Bar Chart with Percent Labels
importmatplotlib.pyplotasplt data=[25,45,55,75]labels=['A','B','C','D']fig,ax=plt.subplots()bars=ax.bar(labels,data)forbarinbars:yval=bar.get_height()ax.text(bar.get_x()+bar.get_width()/2,yval,yval,ha='center',va='bottom')plt.title("Bar Chart with Value Labels - how...
Matplotlib bar chart label value By using bar charts we can easily compare the data by observing the different heights of the bars. By default bar chart doesn’t display value labels on each of the bars. To easy examine the exact value of the bar we have to add value labels on them. ...
arange(len(labels)) # the label locations width = 0.35 # the width of the bars fig, ax = plt.subplots() rects1 = ax.bar(x - width/2, men_means, width, label='Men') rects2 = ax.bar(x + width/2, women_means, width, label='Women') # Add some text for labels, title and...
参考链接:https://matplotlib.org/3.1.1/gallery/lines_bars_and_markers/barchart.html#sphx-glr-gallery-lines-bars-and-markers-barchart-py 旋转label文字方向的:https://matplotlib.org/3.1.1/gallery/ticks_and_spines/ticklabels_rotation.html#sphx-glr-gallery-ticks-and-spines-ticklabels-rotation-py ...
# 给每个bar分配指定的颜色 for bar, color in zip(bars, colors): bar.set_color(color) bx = fig.add_subplot(122) bx.set_title('Shopping age - pie chart') labels = ['{}\n{}'.format(age, number) for age, number in zip(age, numbers)] ...
squarify.plot(sizes=sizes, label=labels, color=colors, alpha=.8) # Decorate plt.title('Treemap of Vechile Class') plt.axis('off') plt.show() 34. 条形图 (Bar Chart) 条形图是基于计数或任何给定指标可视化项目的经典方式。 在下面的图表中,我为每个项目使用了不同的颜色,但您通常可能希望为所有...
categories=['A','B','C','D']values=[4,7,2,5]plt.figure(figsize=(8,6))bars=plt.bar(categories,values,label='Data Series - how2matplotlib.com')plt.title('Bar Chart with Legend')plt.xlabel('Categories')plt.ylabel('Values')plt.legend()plt.show() ...
squarify.plot(sizes=sizes, label=labels, color=colors, alpha=.8) # Decorate plt.title('Treemap of Vechile Class') plt.axis('off') plt.show() 图33 34 条形图 (Bar Chart) 条形图是基于计数或任何给定指标可视化项目的经典方式。 在下面的图表中,我为每个项目使用了不同的颜色,但您通常可能希望...
plot(sizes=sizes, label=labels, color=colors, alpha=.8) # Decorateplt.title('Treemap of Vechile Class')plt.axis('off')plt.show() 图33 34 条形图 (Bar Chart) 条形图是基于计数或任何给定指标可视化项目的经典方式。 在下面的图表中,我为每个项目使用了不同的颜色,但您通常可能希望为所有项目选择...