你还可以尝试在一个图表呈现这两个数据集
#compare_DeathValley_and_Sitka_weather.py #__author__ = 'Liu Shao Ji' #encoding=utf-8 import csv from datetime import datetime from matplotlib.pyplot import MultipleLocator import matplotlib.pyplot as plt from C16.try_page_324.try_16_2_2.read_data import read_excel_temp from C16.try_page_324.try_16_2_2.draw_map import data_draw_map file_name_1= "death_valley_2014.csv" file_name_2= "sitka_weather_2014.csv" DeathValley_Data=read_excel_temp(file_name_1) DeathValley_weather_Data=DeathValley_Data.get_dates_high_low() Sitka_Data=read_excel_temp(file_name_2) Sitka_weather_Data=Sitka_Data.get_dates_high_low() # print("死亡谷") # # print(DeathValley_weather_Data[0])#日期 # print(DeathValley_weather_Data[1])#最高温度 # print(DeathValley_weather_Data[2])#最低温度 # print(DeathValley_weather_Data[3])#表头 # # print("锡特卡") # # print(Sitka_weather_Data[0])#日期 # print(Sitka_weather_Data[1])#最高温度 # print(Sitka_weather_Data[2])#最低温度 # print(Sitka_weather_Data[3])#表头 obj_list=[] obj_list.append(DeathValley_weather_Data) obj_list.append(Sitka_weather_Data) print("包含两个城市天气的数据放在obj_list中\n") print(obj_list) print(obj_list[0]) print(obj_list[1]) # def __init__(self,header_row,dates,highs,lows,title): # draw_map=data_draw_map(DeathValley_weather_Data[3], # DeathValley_weather_Data[0], # DeathValley_weather_Data[1], # DeathValley_weather_Data[2], # "Compare DethValley and Sitka Weather") # draw_map.draw_map() print("尝试解释obj_list:\n") draw_map=data_draw_map(obj_list,DeathValley_weather_Data[3],"two city weather compare") # draw_map.circle_list() draw_map.draw_map() #read_data.py #__author__ = 'Liu Shao Ji' #encoding=utf-8 import csv from datetime import datetime #用于设置y轴的范围 from matplotlib.pyplot import MultipleLocator import matplotlib.pyplot as plt class read_excel_temp(): def __init__(self,file_name): self.file_name=file_name def get_dates_high_low(self): filename=self.file_name with open(filename) as f: reader= csv.reader(f) """虽然灰色看似没有调用，header_row=next(reader)这行不能注释掉""" header_row=next(reader) '''两个列表，其中一个放什么呢？''' dates,highs,lows=[],[],[] for row in reader: try: current_date=datetime.strptime(row[0],"%Y-%m-%d") high=int(row[1]) low=int(row[3]) #华氏转摄氏 high_c=(float(row[1])-32)/1.8 low_c=(float(row[3])-32)/1.8 except ValueError: print(current_date,'missing data') else: dates.append(current_date) highs.append(high_c) lows.append(low_c) return(dates,highs,lows,header_row) file_name= "death_valley_2014.csv" sample=read_excel_temp(file_name) dates_and_highs_and_lows=sample.get_dates_high_low() print(dates_and_highs_and_lows[0])#日期 print(dates_and_highs_and_lows[1])#最高温度 print(dates_and_highs_and_lows[2])#最低温度 print(dates_and_highs_and_lows[3])#表头
#draw_map.py
#__author__ = 'Liu Shao Ji' #encoding=utf-8 import csv from datetime import datetime #用于设置y轴的范围 import random from matplotlib.pyplot import MultipleLocator import matplotlib.pyplot as plt class data_draw_map(): #接受一个列表 # def __init__(self,header_row,dates,highs,lows,title): # self.header_row=header_row # self.dates=dates # self.highs=highs # self.lows=lows # self.title=title # # print(Sitka_weather_Data[0])#日期 # # print(Sitka_weather_Data[1])#最高温度 # # print(Sitka_weather_Data[2])#最低温度 # # print(Sitka_weather_Data[3])#表头 def __init__(self,data_list,header_row,title): self.data_list=data_list self.header_row=header_row self.title=title # def circle_list(self): # objs=self.list # for o in objs: # dates=o[0] # highs=o[1] # lows=o[2] # header_row=o[3] # print(dates) # print(highs) # print(lows) # print(header_row) def random_color(self): list_number=list(range(0,101)) a=random.choice(list_number) b=a/100 return b def draw_map(self): for index,column_header in enumerate(self.header_row): print(index,column_header) """根据数据绘制气温图表""" fig = plt.figure(dpi=128,figsize=(10,6)) '''321''' """生成随机颜色""" print("死亡谷日期："+str(self.data_list[0][0])) print("死亡谷高温："+str(self.data_list[0][1])) print("死亡谷低温："+str(self.data_list[0][2])) plt.plot(self.data_list[0][0],self.data_list[0][1],c=(1,self.random_color(),self.random_color()),alpha=0.5) plt.plot(self.data_list[0][0],self.data_list[0][2],c=(1,self.random_color(),self.random_color()),alpha=0.5) plt.plot(self.data_list[1][0],self.data_list[1][1],c=(self.random_color(),1,self.random_color()),alpha=0.5) plt.plot(self.data_list[1][0],self.data_list[1][2],c=(self.random_color(),1,self.random_color()),alpha=0.5) plt.fill_between(self.data_list[0][0],self.data_list[0][1],self.data_list[0][2],facecolor=(1,self.random_color(),self.random_color()),alpha=0.3) plt.fill_between(self.data_list[1][0],self.data_list[1][1],self.data_list[1][2],facecolor=(self.random_color(),1,self.random_color()),alpha=0.3) # title="Daily high temperatures,-2014\nDeath Valley,CA" plt.title(self.title,fontsize=24) plt.xlabel('',fontsize=16) fig.autofmt_xdate() plt.ylabel("Temperature(C)",fontsize=16) plt.tick_params(axis='both',which='major',labelsize=10) #y轴的刻度 y_major_locator=MultipleLocator(5) ax=plt.gca() ax.yaxis.set_major_locator(y_major_locator) plt.ylim(-10,50) plt.show()