[solved] Data Science - Average of rows

Question

Hey guys. I tried the Data Science Course and get stuck at the first Quiz/Task.
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.
So i tried this but the hidden test cases 4 and 5 failed. Any idea whats wrong with my code?
n, p = [int(x) for x in input().split()]
#Werte aufnehmen
spalte1=[]
spalte2=[]
for i in range(n):
line=input().split()
spalte1.append(float(line[0]))
spalte2.append(float(line[1]))
#numpy arrays erstellen
import numpy as np
nspalte1=np.array(spalte1)
nspalte2=np.array(spalte2)
nspalte1=nspalte1.reshape(-1,1)
nspalte2=nspalte2.reshape(-1,1)
#verbinden der arrays
ganze_liste=np.concatenate((nspalte1,nspalte2),axis=1)
#auswerten
auswertung=ganze_liste.mean(axis =1)
print(auswertung)

Answer 1

Yes. Try rounding results now..

Answer 2

You're allowing only two columns. But the number of columns is not fixed.

Answer 3

Hint: in the for loop create the rows, not the columns.

Answer 4

Jayakrishna🇮🇳 this I was also thinking about but some of the results I could see were also not rounded and they are perfect (and the solution was also not rounded) so I think this is not the point
Simon Sauter this I will try

Answer 5

I did change the code like this but still the hidden test cases 4 and 5 fail.
n, p = [int(x) for x in input().split()]
#Werte aufnehmen
arr=[]
for i in range(n):
line=input().split()
arr.append(list(map(float,line)))
#numpy arrays erstellen
import numpy as np
values=np.array(arr)
#auswerten
print(values.mean(axis =1))

Answer 6

Round the results to two decimals and it passes.

Answer 7

So I finally had the time to test your suggestion Simon Sauter Jayakrishna🇮🇳 and it worked. So thank your for your help guys :)

Answer 8

After reading task, I think you missing the "rounded to the 2 decimals"?