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help me to solve this....
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]
6 ответов
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you can change the last line to: print(np.array(list).round(2))
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the result should be rounded to the second decimal
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Julia Shabanova it works
thank u so much 👌✌️👍🙏
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Post your code here
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'''this is my code but the Last unknown test don't work and i don't know why '''
{
import numpy as np
n, p = [int(x) for x in input().split()]
list=[]
zero=np.zeros(shape=(n,p))
for i in range(n):
zero [i,:] = np.array([float(x) for x in input().split()])
list.append(zero[i,:].mean())
print(np.array(list))
}
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how to do this ? 😒