1D numpy concatenate: TypeError: only integer scalar arrays can be converted to a scalar index

Question

I want to store numpy array into to another numpy array

I am using np.concatenate

This is my code

x=np.concatenate(x,s_x)

These are the type and the shape of x and s_x

Type of s_x: <class 'numpy.ndarray'>, Shape of s_x: (173,)
Type of x: <class 'numpy.ndarray'> (0,), Shape of x: (0,)

This is the error being displayed

TypeError: only integer scalar arrays can be converted to a scalar index

score 159 · Accepted Answer · answered Nov 20 '17 at 08:46

159

You need to pass the arrays as an iterable (a tuple or list), thus the correct syntax is

x=np.concatenate((x, s_x))

answered Nov 20 '17 at 08:46

Nils Werner

60

For such a common and useful function it really does have the most useless error messages. Thanks! – grofte May 06 '19 at 19:18
6

Python is great, but it's this kind of nitpicking that makes it a pain in the neck sometimes. – Ulisses Braga-Neto Jul 12 '19 at 01:32
3

I am lucky to scroll down the google search results enough and find this answer. – MrObjectOriented Aug 31 '19 at 13:13
2

@UlissesBraga-Neto problem is not with Python but rather with numpy. The error message should be more informative. – Anoyz Jun 10 '20 at 23:52

1 Answers1