diff options
Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 11 |
1 files changed, 7 insertions, 4 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 85f714ebf..eb03932e1 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -2434,6 +2434,9 @@ def norm(x, ord=None, axis=None, keepdims=False): The nuclear norm is the sum of the singular values. + Both the Frobenius and nuclear norm orders are only defined for + matrices and raise a ValueError when ``x.ndim != 2``. + References ---------- .. [1] G. H. Golub and C. F. Van Loan, *Matrix Computations*, @@ -2556,11 +2559,11 @@ def norm(x, ord=None, axis=None, keepdims=False): # special case for speedup s = (x.conj() * x).real return sqrt(add.reduce(s, axis=axis, keepdims=keepdims)) + # None of the str-type keywords for ord ('fro', 'nuc') + # are valid for vectors + elif isinstance(ord, str): + raise ValueError(f"Invalid norm order '{ord}' for vectors") else: - try: - ord + 1 - except TypeError: - raise ValueError("Invalid norm order for vectors.") absx = abs(x) absx **= ord ret = add.reduce(absx, axis=axis, keepdims=keepdims) |