qq_42839893的博客

旭日图+热力地图1.旭日图2.热力地图（中国和世界）2.1 2020年全国各省市GDP排名前十省市2.2新冠肺炎累计确诊病例数最多的十个国家1.旭日图from pyecharts.charts import Sunburstfrom pyecharts.faker import Fakerimport pyecharts.options as optsdata=[ opts.SunburstItem(1000,name='三爷爷',children=[

雷达图+玫瑰图雷达图玫瑰图import pandas as pdimport numpy as npfrom pyecharts.charts import Radarimport pyecharts.options as optsdata1 = [81, 87,65, 78, 73]data2 = [92, 76, 82, 63, 88]雷达图ind=['语文','数学','英语','科学','社会']rii=[]for i in ind: rii.append(opts.R

月K线图+日历图月K线图日历图月K线图from pyecharts.charts import Klineimport pyecharts.options as optsimport pandas as pd#读数据df = pd.read_csv("stocks.csv",header=None)#选时间df['Date'] = pd.to_datetime(df[0])data = df[(df['Date']>=pd.Timestamp('2017-01-01'))&(

环形图+双坐标轴图环形图双坐标轴图环形图import pandas as pdimport numpy as npfrom pyecharts.faker import Fakerfrom pyecharts.charts import Pieimport pyecharts.options as optsfrom pyecharts.charts import Line,Bardef classify(data): dic = {} for i in data:

火柴杆图import pandas as pdimport numpy as npimport matplotlib.pyplot as pltdata = pd.read_csv("sales4.csv",encoding = "GBK")data_1 = data.groupby("产品")['第1季度','第2季度','第3季度','第4季度'].agg(np.sum)x = list(data_1.index)y = data_1['第1季度']m = data_1['第1季度']

直方图和箱形图1.直方图2.箱形图import matplotlib.pyplot as pltimport numpy as npimport pandas as pddata = pd.read_csv("customers.csv",header=None)data1.直方图plt.hist(data[2],bins= 14,range=(10,80),edgecolor='k')t = range(10,80,5)plt.xticks(t)plt.xlabel("年龄")

绘制折线图和饼图1.任务一： 对每个季度绘制一条折线，其数据点为每个客户对应该季度所有产品的销售额2.任务二： 分别统计每个季度的销售总额（不分产品和客户），然后绘制出4个季度销售总额的饼图。import pandas as pdimport matplotlib.pyplot as pltimport numpy as npdata = pd.read_csv("sales4.csv",encoding = "GBK")1.任务一： 对每个季度绘制一条折线，其数据点为每个客户对应该季度所有产

分组+条形图Step1:分组step2:画条形图#所有的数据以及代码已经放到“我的资源”里面了import pandas as pdimport numpy as npimport matplotlib.pyplot as pltdf = pd.read_csv("sales4.csv",encoding = "GBK")Step1:分组df_group = df.groupby("产品")['第1季度','第2季度','第3季度','第4季度'].agg(np.sum)step2:画条