# import csv
# filename = 'Beijing_2015.csv'
# with open(filename) as f:
#     reader = csv.reader(f)
#     header_row = next(reader)
#         for index,colum_header in enumerate(header_row):
#         print(index,colum_header)

import csv
from datetime import datetime
from matplotlib import pyplot as plt

filename = 'Beijing_2014.csv'
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)
    dates,highs, lows= [],[],[]
    for row in reader:
        current_date = datetime.strptime(row[0],"%Y.%m.%d")
        dates.append(current_date)
        high = int(row[1])
        highs.append(high)
        low = int(row[3])
        lows.append(low)

fig = plt.figure(dpi=128,figsize=(10,6))
plt.plot(dates,highs,c='red',alpha = 0.5)
plt.plot(dates,lows,c='blue',alpha = 0.5)
plt.fill_between(dates,highs,lows,facecolor='blue',
                 alpha=0.1)
plt.title("Daily high temperature - 2014",fontsize = 24)
plt.xlabel('',fontsize = 16)
fig.autofmt_xdate()
plt.ylabel("Temperature(F)",fontsize = 16)
plt.tick_params(axis='both',which='major',labelsize = 16)
plt.show()
