Creating a structured array with mixed data types, but cannot create boolean type

Question

So I'm trying to make the 4th column in this one-dimensional array of the boolean data type. I've read that either '?' or 'b' are supposed to work, but neither do. The error I keep getting is shown below after the code I'm using:

import numpy as np

x = np.array([(1, 2., 'Hello', True), dtype=[('int', 'i4'),('float', 'f4'), ('string', 'S10'),('bool','?')])

x[0][3] != x[0][3]
print(x[0][3])

  File "main.py", line 3
    x = np.array([(1, 2., 'Hello', True), dtype=[('int', 'i4'),('float', 'f4'), ('string', 'S1'),('bool','?')])
                                                                                                          ^
SyntaxError: invalid syntax

You are missing a `]` after `True)` – Wombatz Jul 06 '21 at 22:05 — Wombatz, Jul 06 '21 at 22:05
ah! @Wombatz, you beat me by seconds – Kuni Jul 06 '21 at 22:07 — Kuni, Jul 06 '21 at 22:07

score 0 · Answer 1 · answered Jul 06 '21 at 22:06

I think you're missing a ] in x = np.array([(1, 2., 'Hello', True), dtype=[('int', 'i4'),('float', 'f4'), ('string', 'S1'),('bool','?')])

It should be x = np.array([(1, 2., 'Hello', True)], dtype=[('int', 'i4'),('float', 'f4'), ('string', 'S1'),('bool','?')])

Creating a structured array with mixed data types, but cannot create boolean type

1 Answers1