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-rw-r--r--doc/neps/missing-data.rst2
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/neps/missing-data.rst b/doc/neps/missing-data.rst
index 51b02e6ab..6efdf0fa1 100644
--- a/doc/neps/missing-data.rst
+++ b/doc/neps/missing-data.rst
@@ -240,7 +240,7 @@ NA dtype versions respectively.
The np.NA singleton may accept a dtype= keyword parameter, indicating
that it should be treated as an NA of a particular data type. This is also
a mechanism for preserving the dtype in a NumPy scalar-like fashion.
-Here's what this could look like::
+Here's what this looks like::
>>> np.sum(np.array([1.0, 2.0, np.NA, 7.0], maskna=True))
NA(dtype='<f8')