Mean and Median with NumPy | Dataford Interview Questions

How do you calculate the mean and median of a Numpy array?

Asked in the Round 1 - Panelist 2 stage. Numpy basics.

Implement calculate_mean_median(arr), where arr is a one-dimensional, non-empty NumPy array of finite numeric values. Return a tuple (mean, median) containing Python floating-point results. For an even-length array, the median is the average of the two middle values after sorting.

Example: np.array([1, 3, 2, 4]) returns (2.5, 2.5).

Constraints

arr is a one-dimensional NumPy array
1 <= arr.size <= 10^6
Values are finite integers or floating-point numbers
The output is a tuple of two Python floats

Function Signature

def calculate_mean_median(arr):

Your question is Mean and Median with NumPy. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem