Converting multidimensional array into arrays in list for every row-CodePudding

I have a data set like this,

data = np.array([[ 5, 31, 61],
                 [ 10, 31, 67],
                 [ 15, 31, 69],
                 [ 4, 31, 72],
                 [ 14, 31, 73],
                 [ 21, 31, 77],
                 [ 19, 31, 78]])

I want to convert it into arrays in list for every single row. I tried,

np.split(data,len(data))

#[array([[ 5, 31, 61]]),
# array([[10, 31, 67]]),
# array([[15, 31, 69]]),
# array([[ 4, 31, 72]]),
# array([[14, 31, 73]]),
# array([[21, 31, 77]]),
# array([[19, 31, 78]])]

But as you can see it gives double [ to me. What I simply want is;

[np.array([5, 31, 61]),
np.array([10, 31, 67]),
np.array([15, 31, 69]),
np.array([4, 31, 72]),
np.array([14, 31, 73]),
np.array([21, 31, 77]),
np.array([19, 31, 78])]

CodePudding user response：

What about taking advantage of unpacking?

lst = [*data]

or:

lst = list(data)

output:

[array([ 5, 31, 61]),
 array([10, 31, 67]),
 array([15, 31, 69]),
 array([ 4, 31, 72]),
 array([14, 31, 73]),
 array([21, 31, 77]),
 array([19, 31, 78])]