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authorEric Wieser <wieser.eric@gmail.com>2020-12-27 17:37:33 +0000
committerGitHub <noreply@github.com>2020-12-27 17:37:33 +0000
commit9aa658ae3800a06fe61f304ca48a7d99a1ed3799 (patch)
treeed383859933743d9bcfa5b55905ff45f0dd7f8e8
parent0a562f37b849d945b99ee2a212b53901601ae9af (diff)
downloadnumpy-9aa658ae3800a06fe61f304ca48a7d99a1ed3799.tar.gz
Update doc/source/reference/arrays.scalars.rst
-rw-r--r--doc/source/reference/arrays.scalars.rst8
1 files changed, 6 insertions, 2 deletions
diff --git a/doc/source/reference/arrays.scalars.rst b/doc/source/reference/arrays.scalars.rst
index ea1cae23e..be7992d83 100644
--- a/doc/source/reference/arrays.scalars.rst
+++ b/doc/source/reference/arrays.scalars.rst
@@ -176,8 +176,12 @@ Inexact types
.. note::
- The printing behavior of inexact scalars is to use as few digits as possible
- to display the result unambiguously. This means that equal values at
+ Inexact scalars are printed using the fewest decimal digits needed to
+ distinguish their value from other values of the same datatype,
+ by judicious rounding. See the ``unique`` parameter of
+ `format_float_positional` and `format_float_scientific`.
+
+ This means that variables with equal binary values but whose datatypes are of
different precisions may display differently::
>>> f16 = np.float16("0.1")