core : __new__: keep the fill_value of the initializing object by default

mrecords: force _guessvartypes to return numpy.dtypes instead of  types

3 files changed, 11 insertions, 7 deletions

diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index 0bf97b46e..5c38ff92b 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -1214,8 +1214,9 @@ class MaskedArray(numeric.ndarray):
                 else:
                     _data._mask = umath.logical_or(mask, _data._mask)
                     _data._sharedmask = False
-
         # Update fill_value.......
+        if fill_value is None:
+            fill_value = getattr(data,'_fill_value', None)
         _data._fill_value = _check_fill_value(fill_value, _data.dtype)
         # Process extra options ..
         _data._hardmask = hard_mask
diff --git a/numpy/ma/mrecords.py b/numpy/ma/mrecords.py
index e81b06c04..55551fbd0 100644
--- a/numpy/ma/mrecords.py
+++ b/numpy/ma/mrecords.py
@@ -664,11 +664,11 @@ on the first line. An exception is raised if the file is 3D or more.
                 except ValueError:
                     vartypes.append(arr.dtype)
                 else:
-                    vartypes.append(complex)
+                    vartypes.append(np.dtype(complex))
             else:
-                vartypes.append(float)
+                vartypes.append(np.dtype(float))
         else:
-            vartypes.append(int)
+            vartypes.append(np.dtype(int))
     return vartypes
 
 def openfile(fname):
@@ -738,11 +738,12 @@ def fromtextfile(fname, delimitor=None, commentchar='#', missingchar='',
             vartypes = _guessvartypes(_variables[0])
     # Construct the descriptor ..................
     mdescr = [(n,f) for (n,f) in zip(varnames, vartypes)]
+    mfillv = [ma.default_fill_value(f) for f in vartypes]
     # Get the data and the mask .................
     # We just need a list of masked_arrays. It's easier to create it like that:
     _mask = (_variables.T == missingchar)
-    _datalist = [masked_array(a,mask=m,dtype=t)
-                     for (a,m,t) in zip(_variables.T, _mask, vartypes)]
+    _datalist = [masked_array(a,mask=m,dtype=t,fill_value=f)
+                 for (a,m,t,f) in zip(_variables.T, _mask, vartypes, mfillv)]
     return fromarrays(_datalist, dtype=mdescr)
 
 #....................................................................
diff --git a/numpy/ma/tests/test_core.py b/numpy/ma/tests/test_core.py
index f6fef9e10..0d32282a8 100644
--- a/numpy/ma/tests/test_core.py
+++ b/numpy/ma/tests/test_core.py
@@ -811,9 +811,11 @@ class TestMA(NumpyTestCase):
     #
     def test_asarray(self):
         (x, y, a10, m1, m2, xm, ym, z, zm, xf) = self.d
+        xm.fill_value = -9999
         xmm = asarray(xm)
         assert_equal(xmm._data, xm._data)
         assert_equal(xmm._mask, xm._mask)
+        assert_equal(xmm.fill_value, xm.fill_value)
     #
     def test_fix_invalid(self):
         "Checks fix_invalid."
@@ -1588,4 +1590,4 @@ class TestMiscFunctions(NumpyTestCase):
 ###############################################################################
 #------------------------------------------------------------------------------
 if __name__ == "__main__":
-    NumpyTest().run()
+    NumpyTest('numpy.ma.core').run()