Data Science - Average of Rows
Data Science - Average of Rows Question: In a matrix, or 2-d array X, the averages (or means) of the elements of rows is called row means. Task Given a 2D array, return the rowmeans. Input Format First line: two integers separated by spaces, the first indicates the rows of matrix X (n) and the second indicates the columns of X (p) Next n lines: values of the row in X Output Format An numpy 1d array of values rounded to the second decimal. 2 2 1.5 1 2 2.9 Sample Output [1.25 2.45] Solution: import numpy as np n, p = [int(x) for x in input().split()] lista = [] for i in range(n): lista.append(input().split()) print(np.array(lista).astype(np.float16).mean(axis=1).round(2)) Solution fails test case: Your output: [1.5 0.75 0.65] Expected output: [1.5 0.75 0.65] Notice the space before 0.75 means the test case fails. How may I remove the whitespace thanks.