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authorCharles Harris <charlesr.harris@gmail.com>2011-04-05 15:01:52 -0600
committerCharles Harris <charlesr.harris@gmail.com>2011-04-05 17:38:00 -0600
commitcfd766456368777bcb0d5edabd360b3aeb02d3f8 (patch)
treeb38cd1bf7520faba8e2c0268e85253df7fe1f23f /numpy/core/defchararray.py
parenta4100ba6c440bdf2a2b3cfc31995eb5e009846ee (diff)
downloadnumpy-cfd766456368777bcb0d5edabd360b3aeb02d3f8.tar.gz
STY: Update exception style, easy ones.
Diffstat (limited to 'numpy/core/defchararray.py')
-rw-r--r--numpy/core/defchararray.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/core/defchararray.py b/numpy/core/defchararray.py
index 3facd08fa..850e2dae2 100644
--- a/numpy/core/defchararray.py
+++ b/numpy/core/defchararray.py
@@ -301,7 +301,7 @@ def multiply(a, i):
a_arr = numpy.asarray(a)
i_arr = numpy.asarray(i)
if not issubclass(i_arr.dtype.type, integer):
- raise ValueError, "Can only multiply by integers"
+ raise ValueError("Can only multiply by integers")
out_size = _get_num_chars(a_arr) * max(long(i_arr.max()), 0)
return _vec_string(
a_arr, (a_arr.dtype.type, out_size), '__mul__', (i_arr,))
@@ -1660,7 +1660,7 @@ def isnumeric(a):
unicode.isnumeric
"""
if _use_unicode(a) != unicode_:
- raise TypeError, "isnumeric is only available for Unicode strings and arrays"
+ raise TypeError("isnumeric is only available for Unicode strings and arrays")
return _vec_string(a, bool_, 'isnumeric')
def isdecimal(a):
@@ -1688,7 +1688,7 @@ def isdecimal(a):
unicode.isdecimal
"""
if _use_unicode(a) != unicode_:
- raise TypeError, "isnumeric is only available for Unicode strings and arrays"
+ raise TypeError("isnumeric is only available for Unicode strings and arrays")
return _vec_string(a, bool_, 'isdecimal')
@@ -1872,7 +1872,7 @@ class chararray(ndarray):
def __array_finalize__(self, obj):
# The b is a special case because it is used for reconstructing.
if not _globalvar and self.dtype.char not in 'SUbc':
- raise ValueError, "Can only create a chararray from string data."
+ raise ValueError("Can only create a chararray from string data.")
def __getitem__(self, obj):
val = ndarray.__getitem__(self, obj)