How to convert a list class object to float numpy array iteratively

Question

l_array = np.array([[0.0,0.0]])

quotes = [758529,3930881]


   for i in quotes:

       try:
           v = [item["last_price"] for item in ticks if item['instrument_token'] == i]
           a = v[0]

       except:
           continue
       i_array = np.array[[instrument_token,a]]
l_array = np.append(i_array)
print(l_array)
[[0.000000e+00 0.000000e+00]
 [7.58529e+06 11.487000e+01]
 [3.930881e+06 9.985000e+01]]

Here ticks is a list class object(API Callback function output) that has to be converted to a numpy array(array within an array) to be saved as a.npy file, I can't seem to do this as the output ie l_array gives me a numpy array of complex numbers. The output must be a float numpy array.

Answer 1

you can try l_array.astype(float)