6 from matplotlib import pyplot, dates 7 from csv import reader 8 from dateutil import parser 9 10 with open('astro_pi_data_20150824_085954.csv','r') as f: data = list(reader (f)) 11 12 13 humid = [(i[4]) for i in data[20000:20101]] 14 press 15 time = 16 = [(i[5]) for i in data[20000: 20101]] [parser.parse(i[19]) for i in data[20000:20101]]| 17 pyplot.plot(time, humid, marker = '0', 18 pyplot.plot(time, press, marker = 'o', 19 pyplot. legend ( ) label = = 'Humidity') label = 'Pressure') 20 pyplot.title('Humidity and Pressure changes over Time') 21 pyplot.xlabel('Day/Hour/Minute') 22 pyplot.ylabel('Humidity | Pressure') 23 pyplot.grid() 24 pyplot.show() 25 26

Based on the code, I want to understand why is the time interval is important for both humidity and peressure?