From 73a74e9e9515ad76d652e998fc1e88074e8cd820 Mon Sep 17 00:00:00 2001
From: Allan Haldane <allan.haldane@gmail.com>
Date: Thu, 29 Jan 2015 12:54:25 -0500
Subject: BUG: recarray __repr__ gives inaccurate representation

In https://github.com/numpy/numpy/pull/5483, I solved the problem that a
"recarray" and a "record array" (nomenclature defined in
https://github.com/numpy/numpy/pull/5482) looked identical by making
sure that a type's subclass was listed in the repr. However, recarrays
are still represented using the function 'rec.array' even though this
function technically creates record arrays, not recarrays.

So I have updated recarray.__repr__.

Setup:

    >>> a = np.array([(1,'ABC'), (2, "DEF")], dtype=[('foo', int), ('bar', 'S4')])
    >>> recordarr = np.rec.array(a)
    >>> recarr = a.view(np.recarray)

Behavior after https://github.com/numpy/numpy/pull/5483:

    >>> recordarr
    rec.array([(1, 'ABC'), (2, 'DEF')],
          dtype=(numpy.record, [('foo', '<i8'), ('bar', 'S4')]))
    >>> recarr
    rec.array([(1, 'ABC'), (2, 'DEF')],
          dtype=[('foo', '<i8'), ('bar', 'S4')])

New Behavior:

    >>> recordarr
    rec.array([(1, 'ABC'), (2, 'DEF')],
          dtype=[('foo', '<i8'), ('bar', '|S4')])
    >>> recarr
    array([(1, 'ABC'), (2, 'DEF')],
          dtype=[('foo', '<i8'), ('bar', 'S4')]).view(numpy.recarray)
---
 numpy/doc/structured_arrays.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'numpy/doc/structured_arrays.py')

diff --git a/numpy/doc/structured_arrays.py b/numpy/doc/structured_arrays.py
index d8b4fc719..73bf3b317 100644
--- a/numpy/doc/structured_arrays.py
+++ b/numpy/doc/structured_arrays.py
@@ -292,7 +292,7 @@ such a view do not have field attributes::
 To use the np.record dtype only, convert the dtype using the (base_class,
 dtype) form described in numpy.dtype.  This type of view is rarely used. ::
 
- >>> arr_records = arr.view(dtype(np.record, arr.dtype))
+ >>> arr_records = arr.view(dtype((np.record, arr.dtype)))
 
 In documentation, the term 'structured array' will refer to objects of type
 np.ndarray with structured dtype, 'record array' will refer to structured
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