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author | Pierre de Buyl <pdebuyl@pdebuyl.be> | 2016-09-07 09:48:40 +0200 |
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committer | Pierre de Buyl <pdebuyl@pdebuyl.be> | 2016-09-07 09:48:40 +0200 |
commit | db0b231f17fb2148772181626235e2644eb67c3e (patch) | |
tree | 046e1f4026b64012cd998f27363e3b12c4e35805 /numpy/lib | |
parent | 0780721328a25389844181fd7e38f56e1a865698 (diff) | |
download | numpy-db0b231f17fb2148772181626235e2644eb67c3e.tar.gz |
DOC: change version references from x.y to x.y.z
Diffstat (limited to 'numpy/lib')
-rw-r--r-- | numpy/lib/function_base.py | 6 | ||||
-rw-r--r-- | numpy/lib/nanfunctions.py | 2 |
2 files changed, 4 insertions, 4 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 11cfb2c99..cb1a04f47 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -489,8 +489,8 @@ def histogram(a, bins=10, range=None, normed=False, weights=None, based on the actual data within `range`, the bin count will fill the entire range including portions containing no data. normed : bool, optional - This keyword is deprecated in NumPy 1.6 due to confusing/buggy - behavior. It will be removed in NumPy 2.0. Use the ``density`` + This keyword is deprecated in NumPy 1.6.0 due to confusing/buggy + behavior. It will be removed in NumPy 2.0.0. Use the ``density`` keyword instead. If ``False``, the result will contain the number of samples in each bin. If ``True``, the result is the value of the probability *density* function at the bin, @@ -809,7 +809,7 @@ def histogram(a, bins=10, range=None, normed=False, weights=None, else: return n, bins else: - # deprecated, buggy behavior. Remove for NumPy 2.0 + # deprecated, buggy behavior. Remove for NumPy 2.0.0 if normed: db = array(np.diff(bins), float) return n/(n*db).sum(), bins diff --git a/numpy/lib/nanfunctions.py b/numpy/lib/nanfunctions.py index ab88c6a37..c024055ba 100644 --- a/numpy/lib/nanfunctions.py +++ b/numpy/lib/nanfunctions.py @@ -453,7 +453,7 @@ def nansum(a, axis=None, dtype=None, out=None, keepdims=np._NoValue): Return the sum of array elements over a given axis treating Not a Numbers (NaNs) as zero. - In NumPy versions <= 1.8 Nan is returned for slices that are all-NaN or + In NumPy versions <= 1.8.0 Nan is returned for slices that are all-NaN or empty. In later versions zero is returned. Parameters |