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authorAllan Haldane <ealloc@gmail.com>2021-03-19 12:45:28 -0400
committerGitHub <noreply@github.com>2021-03-19 12:45:28 -0400
commit5abc3946bd951211df4d0b492bd1781394dddcde (patch)
treea4e7511c58fc37080b8c7c244c775b19cedf003e /numpy/core/arrayprint.py
parentf14a028404e0457b7ca049fdd4968675cbc9cf54 (diff)
downloadnumpy-5abc3946bd951211df4d0b492bd1781394dddcde.tar.gz
Update numpy/core/arrayprint.py
Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
Diffstat (limited to 'numpy/core/arrayprint.py')
-rw-r--r--numpy/core/arrayprint.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/core/arrayprint.py b/numpy/core/arrayprint.py
index e86986518..8a93705ca 100644
--- a/numpy/core/arrayprint.py
+++ b/numpy/core/arrayprint.py
@@ -1030,7 +1030,7 @@ def format_float_scientific(x, precision=None, unique=True, trim='k',
If `True`, use a digit-generation strategy which gives the shortest
representation which uniquely identifies the floating-point number from
other values of the same type, by judicious rounding. If `precision`
- is given fewer digits than necessary can be printed, or if `min_digits`
+ is given fewer digits than necessary can be printed. If `min_digits`
is given more can be printed, in which cases the last digit is rounded
with unbiased rounding.
If `False`, digits are generated as if printing an infinite-precision