Modified io._getconv to allow loading values stored as float as integers arrays. Added test to check the behavior as suggested in the comment from b. southey in

ticket #623

2 files changed, 11 insertions, 1 deletions

diff --git a/numpy/lib/io.py b/numpy/lib/io.py
index bb4d254a8..235316c82 100644
--- a/numpy/lib/io.py
+++ b/numpy/lib/io.py
@@ -203,7 +203,7 @@ def _getconv(dtype):
     if issubclass(typ, np.bool_):
         return lambda x: bool(int(x))
     if issubclass(typ, np.integer):
-        return int
+        return lambda x: int(float(x))
     elif issubclass(typ, np.floating):
         return float
     elif issubclass(typ, np.complex):
diff --git a/numpy/lib/tests/test_io.py b/numpy/lib/tests/test_io.py
index 35203a38d..c219f6fcd 100644
--- a/numpy/lib/tests/test_io.py
+++ b/numpy/lib/tests/test_io.py
@@ -41,6 +41,16 @@ class Testloadtxt(NumpyTestCase):
         a = np.array([(1, 2), (3, 4)], dtype=[('x', '<i4'), ('y', '<i4')])
         assert_array_equal(x, a)
         
+        d = StringIO.StringIO()
+        d.write('M 64.0 75.0\nF 25.0 60.0')
+        d.seek(0)
+
+        mydescriptor = {'names': ('gender','age','weight'), 'formats': ('S1',
+                                'i4', 'f4')}
+        b = np.array([('M',    64.0, 75.0),('F', 25.0, 60.0)], dtype=mydescriptor)
+        y = np.loadtxt(d, dtype=mydescriptor)
+        assert_array_equal(y, b)
+        
     def test_array(self):
         c = StringIO.StringIO()
         c.write('1 2\n3 4')