diff options
Diffstat (limited to 'numpy/oldnumeric/ma.py')
| -rw-r--r-- | numpy/oldnumeric/ma.py | 26 |
1 files changed, 13 insertions, 13 deletions
diff --git a/numpy/oldnumeric/ma.py b/numpy/oldnumeric/ma.py index fbc0aca27..d41c68edc 100644 --- a/numpy/oldnumeric/ma.py +++ b/numpy/oldnumeric/ma.py @@ -1157,22 +1157,22 @@ array(data = %(data)s, return self def __eq__(self, other): - return equal(self,other) + return equal(self, other) def __ne__(self, other): - return not_equal(self,other) + return not_equal(self, other) def __lt__(self, other): - return less(self,other) + return less(self, other) def __le__(self, other): - return less_equal(self,other) + return less_equal(self, other) def __gt__(self, other): - return greater(self,other) + return greater(self, other) def __ge__(self, other): - return greater_equal(self,other) + return greater_equal(self, other) def astype (self, tc): "return self as array of given type." @@ -1772,7 +1772,7 @@ def masked_where(condition, x, copy=1): """Return x as an array masked where condition is true. Also masked where x or condition masked. """ - cm = filled(condition,1) + cm = filled(condition, 1) m = mask_or(getmask(x), cm) return array(filled(x), copy=copy, mask=m) @@ -2179,7 +2179,7 @@ def _clip(self,a_min,a_max,out=None): return MaskedArray(data = self.data.clip(asarray(a_min).data, asarray(a_max).data), mask = mask_or(self.mask, - mask_or(getmask(a_min),getmask(a_max)))) + mask_or(getmask(a_min), getmask(a_max)))) array.clip = _m(_clip) def _compress(self, cond, axis=None, out=None): @@ -2237,7 +2237,7 @@ array.nonzero = _m(nonzero) array.prod = _m(product) def _ptp(a,axis=None,out=None): - return a.max(axis,out)-a.min(axis) + return a.max(axis, out)-a.min(axis) array.ptp = _m(_ptp) array.repeat = _m(new_repeat) array.resize = _m(resize) @@ -2257,7 +2257,7 @@ array.squeeze = _m(_squeeze) array.strides = property(_m(not_implemented)) array.sum = _m(sum) -def _swapaxes(self,axis1,axis2): +def _swapaxes(self, axis1, axis2): return MaskedArray(data = self.data.swapaxes(axis1, axis2), mask = self.mask.swapaxes(axis1, axis2)) array.swapaxes = _m(_swapaxes) @@ -2269,13 +2269,13 @@ array.transpose = _m(transpose) def _var(self,axis=None,dtype=None, out=None): if axis is None: return numeric.asarray(self.compressed()).var() - a = self.swapaxes(axis,0) + a = self.swapaxes(axis, 0) a = a - a.mean(axis=0) a *= a a /= a.count(axis=0) - return a.swapaxes(0,axis).sum(axis) + return a.swapaxes(0, axis).sum(axis) def _std(self,axis=None, dtype=None, out=None): - return (self.var(axis,dtype))**0.5 + return (self.var(axis, dtype))**0.5 array.var = _m(_var) array.std = _m(_std) |