1D numpy concatenate: TypeError: only integer scalar arrays can be converted to a scalar index
By : Gustavo Canelon
Date : March 29 2020, 07:55 AM
it helps some times You need to pass the arrays as an iterable (a tuple or list), thus the correct syntax is code :
x=np.concatenate((x, s_x))

Error: TypeError: only integer scalar arrays can be converted to a scalar index
By : Saffi
Date : March 29 2020, 07:55 AM
may help you . Check out the docs for np.prod(): code :
numpy.prod(a, axis=None, dtype=None, out=None, keepdims=<class numpy._globals._NoValue>)
>>> A = np.array([1, 2, 3, 4, 5])
>>> np.dot(A, A)
55
>>> A.dot(A)
55

Error only integer scalar arrays can be converted to a scalar index
By : nath
Date : March 29 2020, 07:55 AM
Hope that helps I am using Python 3.6. , Use range(kk.shape[0]): code :
for i in range(kk.shape[0]):
ind = run_11(i)
print (i)
print (ind)
res = run_11(kk)

list(map) error : TypeError: only integer scalar arrays can be converted to a scalar index
By : Hedges
Date : March 29 2020, 07:55 AM
this will help seen is a list of lists, its element is a list and you're trying to use it as an index to list. Either remove outer square brackets in the definition of seen, or map over its concatenation.

numpy slicing  TypeError: only integer scalar arrays can be converted to a scalar index
By : user2914725
Date : March 29 2020, 07:55 AM
should help you out datafile: pattern1.ktx , OK, it returns a list for some reason, so have to index it. code :
b = np.frombuffer(np.array(data[12:12+4], dtype=np.byte), dtype=np.uint32)
print ('endianess:', hex(b[0]))

