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数据展示
数据来源可参考我的这篇博客 https://blog.csdn.net/qq_45058254/article/details/104195171 python代码 参考https://blog.csdn.net/zengbowengood/article/details/103279583这篇博客来写的画图部分#encoding=utf-8#@Project filename:PythonDemo PieChart#@IDE :PyCharm#@Author :ganxiang#@Date :2020/02/07 0007 12:41import matplotlib.pyplot as pltimport pandas as pddf = pd.read_csv('./data/1月36CityConsumption.csv',encoding='gb18030')#解决汉字乱码问题plt.rcParams['font.sans-serif']=['SimHei'] #使用指定的汉字字体类型(此处为黑体)fig,axj=plt.subplots(nrows=2,ncols=2,figsize=(8, 8),dpi=200) #建立饼图坑axes = axj.flatten() #子图展平for ax in range(0,4): city = df['地区'][ax+1:ax+6]#控制读取['地区']列的变化 consumption =df['居民消费价格指数当月(上年同月=100)'][ax+1:ax+6] col_sum = consumption.sum() share = [] for j in consumption:#计算均值 share.append(round(j/col_sum,4)) explode = [0.1,0, 0, 0, 0] explode[ax]=0.06 axes[ax].pie(x=share,labels=city,explode=explode,autopct = '%3.1f%%') axes[ax].set_title("第"+str(ax+1)+"张图") plt.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=0.5, hspace=0.2) # 调整子图间距 plt.savefig('./data/居民消费价格指数.jpg')plt.show()
结果展示