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-rw-r--r--doc/release/2.0.0-notes.rst20
1 files changed, 19 insertions, 1 deletions
diff --git a/doc/release/2.0.0-notes.rst b/doc/release/2.0.0-notes.rst
index d50797cb3..ca9bc4147 100644
--- a/doc/release/2.0.0-notes.rst
+++ b/doc/release/2.0.0-notes.rst
@@ -31,7 +31,7 @@ What works with NA:
+ ndarray.clip, ndarray.min, ndarray.max, ndarray.sum, ndarray.prod,
ndarray.conjugate, ndarray.diagonal, ndarray.flatten
+ numpy.concatenate, numpy.column_stack, numpy.hstack,
- numpy.vstack, numpy.dstack
+ numpy.vstack, numpy.dstack, numpy.squeeze
What doesn't work with NA:
* Fancy indexing, such as with lists and partial boolean masks.
@@ -50,6 +50,19 @@ What doesn't work with NA:
numpy.append, numpy.insert (relies on fancy indexing),
numpy.where,
+Differences with R:
+ * R's parameter rm.na=T is spelled skipna=True in NumPy.
+ * np.isna(nan) is False, but R's is.na(nan) is TRUE. This is because
+ NumPy's NA is treated independently of the underlying data type.
+ * Boolean indexing, where the result is compressed to just
+ the elements with true in the mask, raises if the booelan mask
+ has an NA value in it. This is because that value could be either
+ True or False, meaning the count of the output array is actually
+ NA. R treats this case in a manner inconsistent with the NA model,
+ returning NA values in the spots where the boolean index has NA.
+ This may have a practical advantage in spite of violating the
+ NA theoretical model, so NumPy could adopt the behavior if necessary
+
Custom formatter for printing arrays
@@ -76,6 +89,11 @@ and depended in an undesirable way on the particular axis chosen for
concatenation. A bug was also fixed which silently allowed out of bounds
axis arguments.
+The ufuncs logical_or, logical_and, and logical_not now follow Python's
+behavior with object arrays, instead of trying to call methods on the
+objects. For example the expression (3 and 'test') produces the string
+'test', and now np.logical_and(np.array(3, 'O'), np.array('test', 'O'))
+produces 'test' as well.
Deprecations
============