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Diffstat (limited to 'doc/release/2.0.0-notes.rst')
| -rw-r--r-- | doc/release/2.0.0-notes.rst | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/doc/release/2.0.0-notes.rst b/doc/release/2.0.0-notes.rst index f4640dfc6..3f4b62096 100644 --- a/doc/release/2.0.0-notes.rst +++ b/doc/release/2.0.0-notes.rst @@ -63,7 +63,7 @@ Differences with R: This may have a practical advantage in spite of violating the NA theoretical model, so NumPy could adopt the behavior if necessary -Reduction UFuncs Generalize axis= Parmaeter +Reduction UFuncs Generalize axis= Parameter ------------------------------------------- Any ufunc.reduce function call, as well as other reductions like @@ -77,7 +77,7 @@ Reduction UFuncs New keepdims= Parameter There is a new keepdims= parameter, which if set to True, doesn't throw away the reduction axes but instead sets them to have size one. -when this option is set, the reduction result will broadcast correctly +When this option is set, the reduction result will broadcast correctly to the original operand which was reduced. @@ -97,7 +97,8 @@ errors in projects that depend on NumPy. The functions np.diag, np.diagonal, and <ndarray>.diagonal now return a view into the original array instead of making a copy. This makes these functions more consistent with NumPy's general approach of taking views -where possible, and performs much faster as well. +where possible, and performs much faster as well. This has the +potential to break code that assumes a copy is made instead of a view. The function np.concatenate tries to match the layout of its input arrays. Previously, the layout did not follow any particular reason, |