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

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

Nils Werner · Accepted Answer · 2017-11-20 08:46:02Z

173

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, 2017 at 8:46

Nils Werner

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4 Comments

For such a common and useful function it really does have the most useless error messages. Thanks!

Python is great, but it's this kind of nitpicking that makes it a pain in the neck sometimes.

I am lucky to scroll down the google search results enough and find this answer.

@UlissesBraga-Neto problem is not with Python but rather with numpy. The error message should be more informative.