I did this but always returns an error for float type

Question

for i in range(n)
Alist = list(map(float, input().split()))
Row= np.array(Alist)
Print(row.mean())

Answer 1

Norika Gilbert ,

can you please give us the lesson / exercise number? i would like to see the original task description.

thanks a lot!

Answer 2

Norika Gilbert ,

the code seems not to be complete. can you please put the complere code in playground and link it here?

thanks!

Answer 3

If I run your code with
2 2
1.2 2.3
3.4 4.5
it works...

I would like to add that alist will be overwritten on each iteration of the for-loop. I assume you want to append alist to matrix?

Answer 4

import numpy as np
import statistics
n, p = [int(x) for x in input().split()]
matrix=[]
for i in range(n):
alist = list([float(x) for x in input().split()])
arr = np.array(statistics.mean(alist))

print(arr)

Answer 5

Lothar it seems to be Average of Rows from the Data Science Course
-----
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

Answer 6

However with this input there should be no type error.

Answer 7

Changed a bit but still get type converting errors in my spyder compiler

Answer 8

What does the input look like?