I am trying to convert the below to integers
I have a variable p which is the below
array([0.09641092, 0.02070604, 0.21679783, ..., 0.06453979, 0.02907993, 0.12129478])
I want to convert the numbers based on a threshold
thres = 0.5
then convert
p1 = np.int(p > thres)
but i get the below error
TypeError: only size-1 arrays can be converted to Python scalars
You want to convert the type of the array. Accordingly, do this instead:
(p > thres).astype(np.int)
np.int is just int, the normal Python built-in type. I think it's only even in the numpy namespace for backward compatibility. It's not a NumPy type, and you can't perform type conversion on arrays by calling it.
np.int_ is the NumPy type for the dtype int values get converted to by default, and it's the one used when you do something like some_array.astype(int). It corresponds to C long. np.int_, you can call to type-convert whole arrays:
>>> x = numpy.array([True, False, True])
>>> numpy.int_(x)
array([1, 0, 1])
but it's more usual to use astype:
>>> x.astype(int)
array([1, 0, 1])
import numpy as np
a = np.array([0.09641092, 0.02070604, 0.21679783, 0.06453979, 0.02907993, 0.12129478])
t = 0.05
for i in range(len(a)):
if(a[i]>t):
print(a[i])
output:
0.09641092
0.21679783
0.06453979
0.12129478
or
print(np.int(a[i]))
output:
0
0
0
0
