immutable numpy array

Question

My question is an extension of that one: Immutable numpy array?

This code prints False, because even though a is immutable, b is not.

a = np.arange(10)
a.setflags(write=False)
b = a[1:]
b[1] = -1
print a == np.arange(10)

Which defeats the purpose of having readonly arrays in the first place. Is there a way to inherit readonlibility in numpy?

When I run that code, b is also non-writable, and the comparison works as expected. You could always try np.equal. — Henry Gomersall
– Henry Gomersall, Commented Jun 25, 2012 at 9:57

ecatmur · Accepted Answer · 2012-06-25 09:57:55Z

6

I get:

>>> b[1] = -1
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: array is not writeable

This is with numpy 1.6.0 (on Python 2.6.2). Possibly this was a bug that was fixed, or a regression - what version of numpy are you using?

answered Jun 25, 2012 at 9:57

ecatmur

158k28 gold badges311 silver badges387 bronze badges

Sign up to request clarification or add additional context in comments.

1 Answer 1