Translate some code form C++ (complex vector)

[DeaD_EyE]

A trick, if you work with two different same shaped arrays:

import numpy as np


shape = (64,)
# one dimension
# 64 elements


real_part = np.random.random(shape) # is a np.ndarray of dtype np.float64
imag_part = np.random.random(shape) # is a np.ndarray of dtype np.float64

complex_array = real_part + 1j * imag_part

After this calculation dtype of complex_array is: np.complex128
64-Bit Float for real part and 64-bit float for imaginary part.

[CarnariusXx]

I wrote this :

import numpy as np
from math import pi

def dft(signal):
    N = 1000
    K = N
    k = 0
    n = 0
    wList = []

    for k in range(k,K):
        intSum = np.complex(0,0)
        for n in range(n,N):
            real_part = np.cos(((2 * np.pi) / N) * k * n)
            imag_part = np.sin(((2 * np.pi) / N) * k * n)
            wList.append(np.complex(real_part,-imag_part))
            intSum = intSum + signal * wList
    
    return intSum
        

sigK = 3
sigPhase = 0.0
x = 0
N = 1000
signal = np.array(np.complex(0,0))
for x in range(x,N):
    Sample = np.complex(np.cos((2*pi/N)*x + sigPhase), 0.0)
    signal.append(Sample)

print(dft(signal))

I want that signal will be array complex of points and argument of dft function. I think is almost all but still I can't manage with multiply two complex arrays and append it.
When I not don't change code I've an error:

Error:
 intSum = intSum + signal * wList
ValueError: operands could not be broadcast together with shapes (2,) (3,) 

When I don't put

Sample

into

signal

array I see

Error:
line 29, in <module>
    signal.append(Sample)
AttributeError: 'numpy.ndarray' object has no attribute 'append'

intSum should keeps signal multiply by real and imag parts (wList)

When I did

np.append(signal, Sample)

Output of it (print(np.append(signal,Sample))) (is one point instead one thousand