I'm attempting to append a 1D array which have generated by appending elements one at a time to a 2D array as a new row in the array.
a = np.ones((2, 5), int)
b = np.empty((0, 5), int)
b = np.append(b, [1])
b = np.append(b, [2])
b = np.append(b, [3])
b = np.append(b, [4])
b = np.append(b, [5])
a = np.append(a, b, axis=0)
print(b)
I'm pretty lost as to why this code doesn't work? They are both arrays of 5 elements, but get the following error? "ValueError: all the input arrays must have same number of dimensions"
CodePudding user response:
a and b have different dim
a is (2,5) and b is (5,) reshape b to be (1,5).
Then you can append b
row-wise as following:
result=np.append(a,b.reshape(1,-1),axis=0)
CodePudding user response:
np.append
is trying to concatenate a 1D array (b
) with a 2D array (a
) along a specific axis, but b
doesn't have the same number of dimensions as a
.
use vstack
instead of append
:
b = np.array([1, 2, 3, 4, 5])
a = np.vstack((a, b))
b = np.array([1, 2, 3, 4, 5])
a = np.concatenate((a, b[np.newaxis, :]), axis=0)
In the above examples, b
is first reshaped to a 2D array with shape (1,5) and then concatenated to a
.