1 import csv 2 3 from matplotlib import pyplot as plt 4 5 filename = 'sitka_weather_07-2014.csv' 6 7 with open(filename) as f: 8 reader = csv.reader(f) 9 header_row = next(reader) 10 11 12 highs =[] 13 for row in reader: 14 high = int(row[1]) 15 highs.append(high) 16 17 18 fig = plt.figure(dpi=128,figsize=(10,6)) 19 plt.plot(highs,c='red') 20 21 plt.title("Daoly high temperatures,July 2014",fontsize=24) 22 plt.xlabel("",fontsize=16) 23 plt.ylabel("Temperature(Ｆ)",fontsize=16) 24 plt.tick_params(axis='both',which='major',labelsize=16) 25 26 plt.show()
import csv
from datetime import datetime
from matplotlib import pyplot as plt
filename = 'sitka_weather_07-2014.csv'
with open(filename) as f:
reader = csv.reader(f)
header_row = next(reader)
dates,highs=[],[]
for row in reader:
current_date = datetime.strptime(row[0], "%Y-%m-%d")
dates.append(current_date)
high = int(row[1])
highs.append(high)
fig = plt.figure(dpi=128,figsize=(10,6))
plt.plot(dates,highs,c='red')
plt.title("Daoly high temperatures,July 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()
