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| author | Arun <arun.palaniappan1999@gmail.com> | 2021-09-20 18:46:08 +0530 |
|---|---|---|
| committer | Arun <arun.palaniappan1999@gmail.com> | 2021-09-20 18:46:08 +0530 |
| commit | 0f2453eeae6092459296fa3af50a9dff4d9af02b (patch) | |
| tree | 55860d4c05ab004eb268ec47a67c338ac619c6f1 /numpy | |
| parent | df0b1bd75f0e8489912863d1f9dfde1846a7bf51 (diff) | |
| download | numpy-0f2453eeae6092459296fa3af50a9dff4d9af02b.tar.gz | |
DOC: replace return type in np.ma* docstring
Diffstat (limited to 'numpy')
| -rw-r--r-- | numpy/ma/core.py | 40 |
1 files changed, 34 insertions, 6 deletions
diff --git a/numpy/ma/core.py b/numpy/ma/core.py index b2ac383a2..b4c73c7c7 100644 --- a/numpy/ma/core.py +++ b/numpy/ma/core.py @@ -8159,8 +8159,18 @@ arange = _convert2ma( np_ret='arange : ndarray', np_ma_ret='arange : MaskedArray', ) -clip = np.clip -diff = np.diff +clip = _convert2ma( + 'clip', + params=dict(fill_value=None, hardmask=False), + np_ret='clipped_array : ndarray', + np_ma_ret='clipped_array : MaskedArray', +) +diff = _convert2ma( + 'diff', + params=dict(fill_value=None, hardmask=False), + np_ret='diff : ndarray', + np_ma_ret='diff : MaskedArray', +) empty = _convert2ma( 'empty', params=dict(fill_value=None, hardmask=False), @@ -8188,22 +8198,40 @@ identity = _convert2ma( np_ret='out : ndarray', np_ma_ret='out : MaskedArray', ) -indices = np.indices +indices = _convert2ma( + 'indices', + params=dict(fill_value=None, hardmask=False), + np_ret='grid : one ndarray or tuple of ndarrays', + np_ma_ret='grid : one MaskedArray or tuple of MaskedArrays', +) ones = _convert2ma( 'ones', params=dict(fill_value=None, hardmask=False), np_ret='out : ndarray', np_ma_ret='out : MaskedArray', ) -ones_like = np.ones_like -squeeze = np.squeeze +ones_like = _convert2ma( + 'ones_like', + np_ret='out : ndarray', + np_ma_ret='out : MaskedArray', +) +squeeze = _convert2ma( + 'squeeze', + params=dict(fill_value=None, hardmask=False), + np_ret='squeezed : ndarray', + np_ma_ret='squeezed : MaskedArray', +) zeros = _convert2ma( 'zeros', params=dict(fill_value=None, hardmask=False), np_ret='out : ndarray', np_ma_ret='out : MaskedArray', ) -zeros_like = np.zeros_like +zeros_like = _convert2ma( + 'zeros_like', + np_ret='out : ndarray', + np_ma_ret='out : MaskedArray', +) def append(a, b, axis=None): |
