diff options
Diffstat (limited to 'numpy/lib/function_base.py')
-rw-r--r-- | numpy/lib/function_base.py | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 7fa51d683..2a6d39abc 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -682,7 +682,7 @@ 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, stacklevel=2) + DeprecationWarning, stacklevel=3) return np.asarray(default)[()] choicelist = [np.asarray(choice) for choice in choicelist] @@ -717,7 +717,7 @@ 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, stacklevel=2) + warnings.warn(msg, DeprecationWarning, stacklevel=3) if choicelist[0].ndim == 0: # This may be common, so avoid the call. @@ -2443,7 +2443,7 @@ def cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None, if fact <= 0: warnings.warn("Degrees of freedom <= 0 for slice", - RuntimeWarning, stacklevel=2) + RuntimeWarning, stacklevel=3) fact = 0.0 X -= avg[:, None] @@ -2522,7 +2522,7 @@ def corrcoef(x, y=None, rowvar=True, 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, stacklevel=2) + DeprecationWarning, stacklevel=3) c = cov(x, y, rowvar) try: d = diag(c) @@ -4304,7 +4304,7 @@ 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, stacklevel=2) + "from delete and raise an error", DeprecationWarning, stacklevel=3) if wrap: return wrap(arr) else: @@ -4373,7 +4373,7 @@ 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, stacklevel=2) + "to integer", FutureWarning, stacklevel=3) obj = obj.astype(intp) if isinstance(_obj, (int, long, integer)): # optimization for a single value @@ -4401,7 +4401,7 @@ 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, stacklevel=2) + "error in the future", DeprecationWarning, stacklevel=3) obj = obj.astype(intp) keep = ones(N, dtype=bool) @@ -4412,13 +4412,13 @@ 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, stacklevel=2) + DeprecationWarning, stacklevel=3) 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, stacklevel=2) + "`numpy.delete`.", FutureWarning, stacklevel=3) obj = obj[positive_indices] keep[obj, ] = False @@ -4543,7 +4543,7 @@ 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, stacklevel=2) + "from insert and raise an error", DeprecationWarning, stacklevel=3) arr = arr.copy(order=arrorder) arr[...] = values if wrap: @@ -4567,7 +4567,7 @@ 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, stacklevel=2) + "integer", FutureWarning, stacklevel=3) indices = indices.astype(intp) # Code after warning period: #if obj.ndim != 1: @@ -4617,7 +4617,7 @@ 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, stacklevel=2) + "error in the future", DeprecationWarning, stacklevel=3) indices = indices.astype(intp) indices[indices < 0] += N |