diff options
| author | Charles Harris <charlesr.harris@gmail.com> | 2013-08-12 23:31:47 -0600 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2013-08-14 15:52:29 -0600 |
| commit | dc73e1b104cf59f936e3c2bb5cfc3c0e147f99de (patch) | |
| tree | dcf9c55d49c55ff73db083e6e330be22ee97378c /numpy/lib/tests/test_nanfunctions.py | |
| parent | a36ef7a8a8dd74830e0af3c8135cf4077891a96d (diff) | |
| download | numpy-dc73e1b104cf59f936e3c2bb5cfc3c0e147f99de.tar.gz | |
DOC: Various fixes.
Fix typos and clarify some explanations. Document the changes in the return
values of nanargmin and nanargmax for all-NaN slices in the 1.8.0 release
notes.
Diffstat (limited to 'numpy/lib/tests/test_nanfunctions.py')
| -rw-r--r-- | numpy/lib/tests/test_nanfunctions.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/lib/tests/test_nanfunctions.py b/numpy/lib/tests/test_nanfunctions.py index 41d6e7cf5..93a5ef855 100644 --- a/numpy/lib/tests/test_nanfunctions.py +++ b/numpy/lib/tests/test_nanfunctions.py @@ -35,7 +35,7 @@ class TestNanFunctions_MinMax(TestCase): stdfuncs = [np.min, np.max] def test_mutation(self): - # Check that passes array is no modified. + # Check that passed array is not modified. ndat = _ndat.copy() for f in self.nanfuncs: f(ndat) @@ -99,7 +99,7 @@ class TestNanFunctions_ArgminArgmax(TestCase): nanfuncs = [nanargmin, nanargmax] def test_mutation(self): - # Check that passes array is no modified. + # Check that passed array is not modified. ndat = _ndat.copy() for f in self.nanfuncs: f(ndat) @@ -177,7 +177,7 @@ class TestNanFunctions_IntTypes(TestCase): class TestNanFunctions_Sum(TestCase): def test_mutation(self): - # Check that passes array is no modified. + # Check that passed array is not modified. ndat = _ndat.copy() nansum(ndat) assert_equal(ndat, _ndat) @@ -282,7 +282,7 @@ class TestNanFunctions_MeanVarStd(TestCase): stdfuncs = [np.mean, np.var, np.std] def test_mutation(self): - # Check that passes array is no modified. + # Check that passed array is not modified. ndat = _ndat.copy() for f in self.nanfuncs: f(ndat) |