ENH: Fix repr of np.record objects to match np.void types

2 files changed, 23 insertions, 2 deletions

diff --git a/numpy/core/records.py b/numpy/core/records.py
index 76783bb67..fdda21205 100644
--- a/numpy/core/records.py
+++ b/numpy/core/records.py
@@ -223,10 +223,14 @@ class record(nt.void):
     __module__ = 'numpy'
 
     def __repr__(self):
-        return self.__str__()
+        if get_printoptions()['legacy'] == '1.13':
+            return self.__str__()
+        return super(record, self).__repr__()
 
     def __str__(self):
-        return str(self.item())
+        if get_printoptions()['legacy'] == '1.13':
+            return str(self.item())
+        return super(record, self).__str__()
 
     def __getattribute__(self, attr):
         if attr in ['setfield', 'getfield', 'dtype']:
diff --git a/numpy/core/tests/test_records.py b/numpy/core/tests/test_records.py
index 73cfe3570..e23e9c48c 100644
--- a/numpy/core/tests/test_records.py
+++ b/numpy/core/tests/test_records.py
@@ -4,6 +4,7 @@ import sys
 import collections
 import pickle
 import warnings
+import textwrap
 from os import path
 
 import numpy as np
@@ -112,6 +113,22 @@ class TestFromrecords(object):
                       dtype=[('foo', '<i4'), ('bar', '<f8')])""")
         )
 
+    def test_0d_recarray_repr(self):
+        # testing infered integer types is unpleasant due to sizeof(int) varying
+        arr_0d = np.rec.array((np.int32(1), 2.0, np.datetime64('2003')))
+        assert_equal(repr(arr_0d), textwrap.dedent("""\
+            rec.array((1, 2., '2003'),
+                      dtype=[('f0', '<i4'), ('f1', '<f8'), ('f2', '<M8[Y]')])"""))
+
+        record = arr_0d[()]
+        assert_equal(repr(record), "(1, 2., '2003')")
+        # 1.13 converted to python scalars before the repr
+        try:
+            np.set_printoptions(legacy='1.13')
+            assert_equal(repr(record), '(1, 2.0, datetime.date(2003, 1, 1))')
+        finally:
+            np.set_printoptions(legacy=False)
+
     def test_recarray_from_repr(self):
         a = np.array([(1,'ABC'), (2, "DEF")],
                      dtype=[('foo', int), ('bar', 'S4')])