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Diffstat (limited to 'numpy/polynomial/legendre.py')
| -rw-r--r-- | numpy/polynomial/legendre.py | 13 |
1 files changed, 1 insertions, 12 deletions
diff --git a/numpy/polynomial/legendre.py b/numpy/polynomial/legendre.py index 9470865a8..1216e29f4 100644 --- a/numpy/polynomial/legendre.py +++ b/numpy/polynomial/legendre.py @@ -1253,9 +1253,8 @@ def legvander(x, deg) : x = np.array(x, copy=0, ndmin=1) + 0.0 dims = (ideg + 1,) + x.shape - mask = x.flags.maskna dtyp = x.dtype - v = np.empty(dims, dtype=dtyp, maskna=mask) + v = np.empty(dims, dtype=dtyp) # Use forward recursion to generate the entries. This is not as accurate # as reverse recursion in this application but it is more efficient. v[0] = x*0 + 1 @@ -1540,16 +1539,6 @@ def legfit(x, y, deg, rcond=None, full=False, w=None): lhs = lhs * w rhs = rhs * w - # deal with NA. Note that polyvander propagates NA from x - # into all columns, that is rows for transposed form. - if lhs.flags.maskna or rhs.flags.maskna: - if rhs.ndim == 1: - mask = np.isna(lhs[0]) | np.isna(rhs) - else: - mask = np.isna(lhs[0]) | np.isna(rhs).any(0) - np.copyto(lhs, 0, where=mask) - np.copyto(rhs, 0, where=mask) - # set rcond if rcond is None : rcond = len(x)*np.finfo(x.dtype).eps |