Question 1
Suppose we define the following NumPy array:
ar = np.array([[5, 6, 7, 8, 9],
[4, 4, 4, 4, 4]], dtype=np.float)
What is the output of the following statement?
print(ar[:, 1:3].mean(axis=0))
array([ 4.5, 5. , 5.5])
array([ 5. , 5.5])
array([ 5. , 5.5, 6.])
array([ 4.])
array([ <ins id="firstdiff"></ins>6.5, 4. ])
Question 2
Suppose you have a temperature sensor from which you record the temperature at every minute. You started recording at 11:30pm on Tuesday. If you store the readings in a NumPy array t
, how do you find the average temperature between midnight and 12:59am (inclusive) on Wednesday?