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| author | Travis Oliphant <oliphant@enthought.com> | 2006-03-24 22:12:48 +0000 |
|---|---|---|
| committer | Travis Oliphant <oliphant@enthought.com> | 2006-03-24 22:12:48 +0000 |
| commit | 28b7d9fb65da6e36eff3158f77b2a023edf7f733 (patch) | |
| tree | 9075b6f51ca22d2ee6ce2934962e50ee43d47a28 /numpy/core/ma.py | |
| parent | 76612bfed9caef1f619c12bdd867b4974e93d8f4 (diff) | |
| download | numpy-28b7d9fb65da6e36eff3158f77b2a023edf7f733.tar.gz | |
Changed fortran= keywords to order= keywords
Diffstat (limited to 'numpy/core/ma.py')
| -rw-r--r-- | numpy/core/ma.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/core/ma.py b/numpy/core/ma.py index d35a96636..d6a4378a0 100644 --- a/numpy/core/ma.py +++ b/numpy/core/ma.py @@ -504,7 +504,7 @@ class MaskedArray (object): any computation. Construction: - x = array(data, dtype=None, copy=True, fortran=False, + x = array(data, dtype=None, copy=True, order=False, mask = nomask, fill_value=None) If copy=False, every effort is made not to copy the data: @@ -527,9 +527,9 @@ class MaskedArray (object): The fill_value is not used for computation within this module. """ __array_priority__ = 10.1 - def __init__(self, data, dtype=None, copy=True, fortran=False, + def __init__(self, data, dtype=None, copy=True, order=False, mask=nomask, fill_value=None): - """array(data, dtype=None, copy=True, fortran=False, mask=nomask, fill_value=None) + """array(data, dtype=None, copy=True, order=False, mask=nomask, fill_value=None) If data already a numeric array, its dtype becomes the default value of dtype. """ if dtype is None: @@ -556,12 +556,12 @@ class MaskedArray (object): need_data_copied = True else: need_data_copied = False #because I'll do it now - c = numeric.array(data, dtype=tc, copy=True, fortran=fortran) + c = numeric.array(data, dtype=tc, copy=True, order=order) tc = c.dtype if need_data_copied: if tc == c.dtype: - self._data = numeric.array(c, dtype=tc, copy=True, fortran=fortran) + self._data = numeric.array(c, dtype=tc, copy=True, order=order) else: self._data = c.astype(tc) else: |