5 total points
Directions¶
Due: 11/19/2025 @ 11:59 p.m.
Change the name of your notebook to EX9_FirstLast.ipynb, where First is your first name and Last is your last name.
For each of the following prompts, write or modify Python code that fulfills the requirements.
You must use numpy for all calculations.
Task 1 (2 points)¶
Convert the following python lists into numpy.ndarrays.
dkb_high_temps are average high temps for each month in DeKalb in Fahrenheit
dkb_low_temps are average low temps for each month in DeKalb in Fahrenheit
dkb_precip are average precipitation totals for each month in DeKalb in inches
dkb_high_temps = [28, 32, 45, 59, 70, 80, 83, 81, 75, 62, 46, 34]
dkb_low_temps = [13, 17, 27, 37, 49, 60, 63, 61, 53, 41, 30, 19]
dkb_precip = [1.69, 1.71, 2.24, 3.56, 4.79, 4.57, 4.00, 4.06, 3.32, 2.96, 2.31, 2.04]
# replace None with your code
dkb_high_npy = None
# replace None with your code
dkb_low_npy = None
# replace None with your code
dkb_precip_npy = NoneTask 2 (1 point)¶
Convert dkb_precip_npy, which are monthly totals of rainfall in inches to millimeters.
# replace None with your code
dkb_precip_mm = NoneTask 3 (1 point)¶
Find the average daily temperature for each month using dkb_high_npy and dkb_low_npy.
# replace None with your code
dkb_average = NoneTask 4 (1 point)¶
Find the difference between high and low temperatures for each month using dkb_high_npy and dkb_low_npy.
# replace None with your code
dkb_difference = None