diff options
Diffstat (limited to 'numpy/lib/function_base.py')
| -rw-r--r-- | numpy/lib/function_base.py | 30 |
1 files changed, 15 insertions, 15 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index a866ed767..b74e04028 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -1383,7 +1383,7 @@ def select(condlist, choicelist, default=0): # 2014-02-24, 1.9 warnings.warn("select with an empty condition list is not possible" "and will be deprecated", - DeprecationWarning) + DeprecationWarning, stacklevel=2) return np.asarray(default)[()] choicelist = [np.asarray(choice) for choice in choicelist] @@ -1418,7 +1418,7 @@ def select(condlist, choicelist, default=0): msg = "select condlists containing integer ndarrays is deprecated " \ "and will be removed in the future. Use `.astype(bool)` to " \ "convert to bools." - warnings.warn(msg, DeprecationWarning) + warnings.warn(msg, DeprecationWarning, stacklevel=2) if choicelist[0].ndim == 0: # This may be common, so avoid the call. @@ -2692,7 +2692,7 @@ def cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None, fact = w_sum - ddof*sum(w*aweights)/w_sum if fact <= 0: - warnings.warn("Degrees of freedom <= 0 for slice", RuntimeWarning) + warnings.warn("Degrees of freedom <= 0 for slice", RuntimeWarning, stacklevel=2) fact = 0.0 X -= avg[:, None] @@ -2766,7 +2766,7 @@ def corrcoef(x, y=None, rowvar=1, bias=np._NoValue, ddof=np._NoValue): if bias is not np._NoValue or ddof is not np._NoValue: # 2015-03-15, 1.10 warnings.warn('bias and ddof have no effect and are deprecated', - DeprecationWarning) + DeprecationWarning, stacklevel=2) c = cov(x, y, rowvar) try: d = diag(c) @@ -3774,7 +3774,7 @@ def _median(a, axis=None, out=None, overwrite_input=False): if rout.ndim == 0: if n == True: warnings.warn("Invalid value encountered in median", - RuntimeWarning) + RuntimeWarning, stacklevel=3) if out is not None: out[...] = a.dtype.type(np.nan) rout = out @@ -3783,7 +3783,7 @@ def _median(a, axis=None, out=None, overwrite_input=False): elif np.count_nonzero(n.ravel()) > 0: warnings.warn("Invalid value encountered in median for" + " %d results" % np.count_nonzero(n.ravel()), - RuntimeWarning) + RuntimeWarning, stacklevel=3) rout[n] = np.nan return rout else: @@ -4039,7 +4039,7 @@ def _percentile(a, q, axis=None, out=None, if np.any(n): warnings.warn("Invalid value encountered in percentile", - RuntimeWarning) + RuntimeWarning, stacklevel=3) if zerod: if ap.ndim == 1: if out is not None: @@ -4403,7 +4403,7 @@ def delete(arr, obj, axis=None): # 2013-09-24, 1.9 warnings.warn( "in the future the special handling of scalars will be removed " - "from delete and raise an error", DeprecationWarning) + "from delete and raise an error", DeprecationWarning, stacklevel=2) if wrap: return wrap(arr) else: @@ -4470,7 +4470,7 @@ def delete(arr, obj, axis=None): if obj.dtype == bool: warnings.warn( "in the future insert will treat boolean arrays and array-likes " - "as boolean index instead of casting it to integer", FutureWarning) + "as boolean index instead of casting it to integer", FutureWarning, stacklevel=2) obj = obj.astype(intp) if isinstance(_obj, (int, long, integer)): # optimization for a single value @@ -4498,7 +4498,7 @@ def delete(arr, obj, axis=None): # 2013-09-24, 1.9 warnings.warn( "using a non-integer array as obj in delete will result in an " - "error in the future", DeprecationWarning) + "error in the future", DeprecationWarning, stacklevel=2) obj = obj.astype(intp) keep = ones(N, dtype=bool) @@ -4509,13 +4509,13 @@ def delete(arr, obj, axis=None): warnings.warn( "in the future out of bounds indices will raise an error " "instead of being ignored by `numpy.delete`.", - DeprecationWarning) + DeprecationWarning, stacklevel=2) obj = obj[inside_bounds] positive_indices = obj >= 0 if not positive_indices.all(): warnings.warn( "in the future negative indices will not be ignored by " - "`numpy.delete`.", FutureWarning) + "`numpy.delete`.", FutureWarning, stacklevel=2) obj = obj[positive_indices] keep[obj, ] = False @@ -4642,7 +4642,7 @@ def insert(arr, obj, values, axis=None): # 2013-09-24, 1.9 warnings.warn( "in the future the special handling of scalars will be removed " - "from insert and raise an error", DeprecationWarning) + "from insert and raise an error", DeprecationWarning, stacklevel=2) arr = arr.copy(order=arrorder) arr[...] = values if wrap: @@ -4664,7 +4664,7 @@ def insert(arr, obj, values, axis=None): warnings.warn( "in the future insert will treat boolean arrays and " "array-likes as a boolean index instead of casting it to " - "integer", FutureWarning) + "integer", FutureWarning, stacklevel=2) indices = indices.astype(intp) # Code after warning period: #if obj.ndim != 1: @@ -4714,7 +4714,7 @@ def insert(arr, obj, values, axis=None): # 2013-09-24, 1.9 warnings.warn( "using a non-integer array as obj in insert will result in an " - "error in the future", DeprecationWarning) + "error in the future", DeprecationWarning, stacklevel=2) indices = indices.astype(intp) indices[indices < 0] += N |