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author | Charles Harris <charlesr.harris@gmail.com> | 2016-03-13 13:31:43 -0600 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2016-03-13 13:31:43 -0600 |
commit | fa107fe361520ceac09131f96a8715473078801e (patch) | |
tree | a1d34244fa6f96b0162c993114f7f7f55db41511 /numpy/lib/function_base.py | |
parent | f98b59e427f26c699de9412a528be685cbcde405 (diff) | |
download | numpy-fa107fe361520ceac09131f96a8715473078801e.tar.gz |
ENH: Check array dimensionality in cov function.
The input arrays are documented to have ndim <=2, so check for that
and raise a ValueError on failure.
Diffstat (limited to 'numpy/lib/function_base.py')
-rw-r--r-- | numpy/lib/function_base.py | 6 |
1 files changed, 6 insertions, 0 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index efa51173a..91034ef37 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -2389,11 +2389,17 @@ def cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None, # Handles complex arrays too m = np.asarray(m) + if m.ndim > 2: + raise ValueError("m has more than 2 dimensions") + if y is None: dtype = np.result_type(m, np.float64) else: y = np.asarray(y) + if y.ndim > 2: + raise ValueError("y has more than 2 dimensions") dtype = np.result_type(m, y, np.float64) + X = array(m, ndmin=2, dtype=dtype) if rowvar == 0 and X.shape[0] != 1: X = X.T |