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-rw-r--r--doc/neps/nep-0021-advanced-indexing.rst2
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/neps/nep-0021-advanced-indexing.rst b/doc/neps/nep-0021-advanced-indexing.rst
index 5acabbf16..dab9ab022 100644
--- a/doc/neps/nep-0021-advanced-indexing.rst
+++ b/doc/neps/nep-0021-advanced-indexing.rst
@@ -630,7 +630,7 @@ At this point we have left the straight forward world of ``oindex`` but can
do random picking of any element from the array. Note that in the last example
a method such as mentioned in the ``Related Questions`` section could be more
straight forward. But this approach is even more flexible, since ``rows``
-does not have to be a simple ``arange``, but could be ``intersting_times``::
+does not have to be a simple ``arange``, but could be ``interesting_times``::
>>> interesting_times = np.array([0, 4, 8, 9, 10])
>>> correct_sensors_at_it = correct_sensors[interesting_times, :]