import csv
from datetime import datetime
from matplotlib import pyplot as plt
filename = 'death_valley_2014.csv'
with open(filename) as f:
reader = csv.reader(f)
header_row = next(reader)
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])
except ValueError:
print(current_date,'missing data')
else:
dates.append(current_date)
highs.append(high)
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&low temperatures - 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()