I'm using Python. I have an array (below)
array([[20.28466797, 19.24307251, 20.87997437, ..., 20.38343811,
19.70025635, 20.22036743],
[ 4.21954346, 17.05456543, 10.09838867, ..., 19.50102234,
19.62188721, 18.30804443],
[14.44546509, 19.43798828, 19.45491028, ..., 22.08952332,
17.83691406, 17.86752319])
I'm looking to write a code that will take the first element of each row, and subtract each value in the row from it.
Eg, row 1: 20.28466797 - 20.28466797, 19.24307251- 20.28466797, 20.87997437 - 20.28466797, etc. row 2: 4.21954346 -4.21954346, 17.05456543 - 4.21954346, etc.
您可以使用numpy.tile重复每行的第一个元素以创建矩阵并将其从原始矩阵中减去。
your_matrix - np.tile(your_matrix[:,:1], your_matrix.shape[0])
The following will do the job for you:
import numpy as np
def array_fun(arr):
# compute the length of the given array
n = len(arr)
m = len(arr[0])
# create an empty list
aList = []
# append by substracting the first element
[aList.append(arr[i][j]-arr[i][0]) for i in range(n) for j in range(m)]
# return modified array
return np.array(aList).reshape(n,m)
if __name__ == "__main__":
# define your array
arr = [[1, 3, 7], [1, 1, 2], [5, 2, 2]]
# print initial array
print(np.array(arr))
# print modified array
print(np.array(array_fun(arr)))
Initial array:
[[1 3 7]
[1 1 2]
[5 2 2]]
Final array:
[[ 0 2 6]
[ 0 0 1]
[ 0 -3 -3]]
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