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-rw-r--r--doc/source/reference/arrays.datetime.rst3
-rw-r--r--numpy/add_newdocs.py4
2 files changed, 2 insertions, 5 deletions
diff --git a/doc/source/reference/arrays.datetime.rst b/doc/source/reference/arrays.datetime.rst
index 541f97884..d0f037bcb 100644
--- a/doc/source/reference/arrays.datetime.rst
+++ b/doc/source/reference/arrays.datetime.rst
@@ -317,8 +317,7 @@ dates, use :func:`busday_count`:
>>> np.busday_count(np.datetime64('2011-07-11'), np.datetime64('2011-07-18'))
5
>>> np.busday_count(np.datetime64('2011-07-18'), np.datetime64('2011-07-11'))
- 0
- # note: In future this will likely return -5, not 0
+ -5
If you have an array of datetime64 day values, and you want a count of
how many of them are valid dates, you can do this:
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py
index 64f2f436a..334bd8c4b 100644
--- a/numpy/add_newdocs.py
+++ b/numpy/add_newdocs.py
@@ -6208,9 +6208,7 @@ add_newdoc('numpy.core.multiarray', 'busday_count',
`enddates`, not including the day of `enddates`.
If ``enddates`` specifies a date value that is earlier than the
- corresponding ``begindates`` date value, the count will be 0.
- However, in future this may change to a negative count of valid
- days.
+ corresponding ``begindates`` date value, the count will be negative.
.. versionadded:: 1.7.0