death_valley_high_low.py

 
import csv
import matplotlib.pyplot as plt
from datetime import datetime
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)
        
    for index, column_header in enumerate(header_row):
        print(index, column_header)
        
# Plot data.
fig = plt.figure(dpi=128, figsize=(10,6))
plt.plot(dates, highs, c='red')
plt.plot(dates, lows, c='blue')
plt.fill_between(dates, highs, lows, facecolor='blue', alpha=0.1)


#format the plot
plt.title("Daily high and low temperatures - 2014\nDeath Valley", fontsize=24)
plt.xlabel('', fontsize=20)
fig.autofmt_xdate()
plt.ylabel("Temperature (F)", fontsize=16)
plt.tick_params(axis='both', which='major', labelsize=16)
plt.show()