ax.set_ylabel('Value') # 设置y轴标签 ax.set_title('Multiple Bar Chart') # 设置图表标题 ax.set_xticks(index + bar_width / 2) # 设置x轴刻度位置 ax.set_xticklabels(years) # 设置x轴刻度标签 ax.legend(categories) # 添加图例,显示类别名称 # 显示图表 plt
() # 绘制多柱状图 bar1 = ax.bar(index, values1, bar_width, label='Category 1') bar2 = ax.bar(index + bar_width, values2, bar_width, label='Category 2') # 添加图例、标签和标题 ax.set_xlabel('Category') ax.set_ylabel('Values') ax.set_title('Multiple Bar Chart Example') ax...
Best Practices for Bar ChartsLabel Axes Clearly: Always label the X and Y axes to make the chart understandable. Use Legends: Add legends when plotting multiple groups to differentiate them. Choose Appropriate Colors: Use contrasting colors for multiple groups to improve readability. Limit Categories...
Multi bar Chartmeans Multiple Bar Chart. It is also known as Grouped Bar Chart. A multiple bar graph is used to portray the relationship between various data variables. And column in the graph represents each data value. Basically, multiple bar charts are used for comparing different entities. ...
使用bar函数绘制条形图:ax.bar(x, height) 可选:设置x轴和y轴标签、图形标题等:ax.set_xlabel('X Label'),ax.set_ylabel('Y Label'),ax.set_title('Multiple Bar Chart') 可选:设置x轴刻度标签:ax.set_xticks(x),ax.set_xticklabels(['A', 'B', 'C', 'D', 'E']) 显示图形:plt.show(...
plt.xlabel('Categories') plt.ylabel('Values') plt.title('Multiple Bar Chart with Values') plt.xticks(index + bar_width, categories) plt.legend() 显示图形: 代码语言:txt 复制 plt.show() 这样就可以使用matplotlib绘制多条形图并添加值。对于腾讯云相关产品和产品介绍链接地址,可以根据具体需求和场景...
plt.bar(left=(0,1),height=(1,0.5),width=0.35) plt.show() 此时又来需求了,我需要标明x,y轴的说明。比如x轴是性别,y轴是人数。实现也很简单,看代码: importmatplotlib.pyplot as plt plt.xlabel(u'性别') plt.ylabel(u'人数') plt.bar(left=(0,1),height=(1,0.5),width=0.35) ...
把ax.bar( ) 换成ax.barh( )即可 (h是horizontal的意思) importpandas as pd hot_dog=pd.read_csv(r"http://datasets.flowingdata.com/hot-dog-places.csv")frommatplotlibimportpyplot as plt fig,ax=plt.subplots() year=[int(i)foriinhot_dog.columns]#年份从header中提取value=hot_dog.T.values#...
(rects):"""Attach a text label above each bar in *rects*, displaying its height."""forrectinrects:height=rect.get_height()ax.annotate('{}'.format(height),xy=(rect.get_x()+rect.get_width()/2,height),xytext=(0,3),# 3 points vertical offsettextcoords="offset points",ha='...
unicode_minus']=False# 数据准备categories=['A','B','C','D']values=[15,25,30,20]plt.bar...