Data Science Module Average of rows

Question

Hi !
Problem :
Data Science - Average of Rows
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]
----------------------------------------------------------------
My code :
import numpy as np
n, p = [int(x) for x in input().split()]
mat=np.empty((n,p))
means=np.empty(n)
for i in range(n):
inpts=[float(x) for x in input().split()]
mean=0
for j in range(p):
mean=mean+inpts[j]
means[i]=round(mean/p,2)
print(means)
-------------------------------------------
I have the right values in test case #2 by it is taking it as error
Input
3 2
1 2
1 0.5
1 0.3
Your Output
[1.5 0.75 0.65]
Expected Output
[1.5 0.75 0.65]
I'm stuck on this project for three days i tested my code on my computer and it i working fine .
Any ideas ?

Answer 1

jebari jihed / Jayakrishna🇮🇳
There is no current update on the bug

Answer 2

jebari jihed
It has a bug..Not sure, is it solved or not..
please wait for it fixed..
https://www.sololearn.com/Discuss/3067969/?ref=app
edit:
BroFar Sir, Can you add status of this bug, if any update info....

Answer 3

I think there is bug in this Project, automatically adding space after 1st value in output when we use numpy
I tried in Code Playground and there is same problem so I assume it's a problem of numpy because when you use list then it gives proper result.
https://code.sololearn.com/cJu3mLkn7s0m/?ref=app

Answer 4

here is the link for my code : https://code.sololearn.com/cJjnAFzyGnp1

Answer 5

jebari jihed the module project 8 data science playground should be fixed.

Answer 6

import numpy as np
n, p = [int(x) for x in input().split()]
# Initialize matrix
matrix = []
#Entry row elements separated by space
for i in range(n):
matrix.append(input().split())
print(np.array(matrix).astype(np.float16).mean(axis=1).round(2))