TypeError: 'numpy.bool_' object 不可迭代

Question

I'm currently encounter a TypeError: 'numpy.bool_' object is not iterable without knowing why. I've verified each variables that I used. Do you have any idea why this error occurs? Here a simplified code of mine that you can use to play with:

import numpy as np


def rad_to_deg(x):
    deg = x*180/np.pi
    return deg

def flag_PA(x,bornes_test):  
    index_0_test = int(np.where(bornes_test==0)[0][0])
    for i in range(index_0_test):
        cond1 = any(bornes_test[i] <= x < bornes_test[i+1])
        cond2 = any(bornes_test[i]+180 <= x < bornes_test[i+1]+180)
        if np.logical_or(cond1,cond2)==True :
            flag_test=i 
    return flag_test


##################################### DATA READING ###########################

# Trouver les fichiers en Bande L et Bande N 


bornes_PA = np.linspace(-180,180,18+1)

lambda_fichier       = np.linspace(3E-6,11E-6)
u_coord_fichier      = np.linspace(1,40)
v_coord_fichier      = np.linspace(1,40)
baseline_fichier     = np.sqrt(np.array(u_coord_fichier)**2+np.array(v_coord_fichier)**2).tolist()
for l in range(len(lambda_fichier)):
    for b in range(len(baseline_fichier)):
        deg = rad_to_deg(np.arctan2(u_coord_fichier[b],v_coord_fichier[b]))
        result = int(flag_PA(deg,bornes_PA))

Here is the full error:

  line 34, in <module>
    result = int(flag_PA(deg,bornes_PA))

  line 13, in flag_PA
    cond1 = any(bornes_test[i] <= x < bornes_test[i+1])

Answer 1

The problem is that any tries to iterate over its argument.

The expression bornes_test[i] <= x < bornes_test[i+1] returns a scalar numpy.bool_ , not an array.

Therefore any(bornes_test[i] <= x < bornes_test[i+1]) is trying to iterate over a scalar, as stated by the error message.

It looks like you can just delete the any and obtain the intended result.