diff options
Diffstat (limited to 'numpy/ma/extras.py')
| -rw-r--r-- | numpy/ma/extras.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py index d8ea3de8c..323fbce38 100644 --- a/numpy/ma/extras.py +++ b/numpy/ma/extras.py @@ -215,7 +215,7 @@ def masked_all_like(arr): #####-------------------------------------------------------------------------- #---- --- Standard functions --- #####-------------------------------------------------------------------------- -class _fromnxfunction: +class _fromnxfunction(object): """ Defines a wrapper to adapt NumPy functions to masked arrays. @@ -778,7 +778,7 @@ def _median(a, axis=None, out=None, overwrite_input=False): # not necessary for scalar True/False masks try: np.copyto(low.mask, high.mask, where=odd) - except: + except Exception: pass if np.issubdtype(asorted.dtype, np.inexact): @@ -939,7 +939,7 @@ def mask_rows(a, axis=None): Examples -------- >>> import numpy.ma as ma - >>> a = np.zeros((3, 3), dtype=np.int) + >>> a = np.zeros((3, 3), dtype=int) >>> a[1, 1] = 1 >>> a array([[0, 0, 0], @@ -984,7 +984,7 @@ def mask_cols(a, axis=None): Examples -------- >>> import numpy.ma as ma - >>> a = np.zeros((3, 3), dtype=np.int) + >>> a = np.zeros((3, 3), dtype=int) >>> a[1, 1] = 1 >>> a array([[0, 0, 0], |