TypeError: 'float' object cannot be interpreted as an integer

TypeError: ‘float’ object cannot be interpreted as an integer

$ python -c "import numpy as np; np.zeros(5.0)"
Traceback (most recent call last):
  File "<string>", line 1, in <module>
TypeError: 'float' object cannot be interpreted as an integer

Why this happens

NumPy expects integer arguments for sizes, shapes, or indices. Passing a float (even one that looks integral) raises this error.

Fix

Convert floats to ints explicitly using int() or ensure variables are integers. Validate user input before passing to NumPy functions.

Wrong code

import numpy as np
n = 5.0
arr = np.zeros(n)

Fixed code

import numpy as np
n = 5
arr = np.zeros(int(n))

# or validate
if not float(n).is_integer():
    raise ValueError('size must be integer')
arr = np.zeros(int(n))