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Hi! DS with Python, first end of module project: means of rows: what's the problem with my code? It's ok in 3/5 testcases.

n, p = [int(x) for x in input().split()] X=[] i=0 while i<n: X.append(input()) i=i+1 v=0 while v<n: X[v]=X[v].split(" ") v=v+1 import numpy as np X_array=np.array(X) X_arrayf=X_array.astype(np.float) result=(X_arrayf.mean(axis=1)) np.around(result, decimals=2) print(result)

10th Mar 2021, 12:00 PM
Dalma Hajek-Simonyi
5 Respuestas
0
for i in range(n): X.append(input().split()) use for loop instead of two while
10th Mar 2021, 12:05 PM
Sharique Khan
Sharique Khan - avatar
0
Thanks. So more elegant, but still doesn't work for the last 2 testcases.
10th Mar 2021, 1:31 PM
Dalma Hajek-Simonyi
0
import numpy as np n, p = [int(x) for x in input().split()] list = [] for i in range(n): list.append(input().split()) arr = np.array(list).astype(np.float16).mean(axis=1).round(2) print(arr) np.float16 you instead of np.float
10th Mar 2021, 1:40 PM
Sharique Khan
Sharique Khan - avatar
0
# i'd rather prefer to compute row means by my own, rather than using numpy methods: import numpy as np n, p = [int(x) for x in input().split()] res = [] for i in range(n): res.append(sum( float(x) for x in input().split() )/p) print(np.array(res).round(2))
10th Mar 2021, 3:06 PM
visph
visph - avatar
0
Thank you guys. Finally I realised, that I had the mistake only in the rounding row. Correctly: w=result.round(2) print(w) Now, it works. :)
18th Mar 2021, 6:50 PM
Dalma Hajek-Simonyi