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Diffstat (limited to 'doc/source/reference/arrays.scalars.rst')
| -rw-r--r-- | doc/source/reference/arrays.scalars.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/source/reference/arrays.scalars.rst b/doc/source/reference/arrays.scalars.rst index d27d61e2c..f57a11724 100644 --- a/doc/source/reference/arrays.scalars.rst +++ b/doc/source/reference/arrays.scalars.rst @@ -24,11 +24,11 @@ mixing scalar and array operations. Array scalars live in a hierarchy (see the Figure below) of data types. They can be detected using the hierarchy: For example, -``isinstance(val, np.generic)`` will return :const:`True` if *val* is +``isinstance(val, np.generic)`` will return :py:data:`True` if *val* is an array scalar object. Alternatively, what kind of array scalar is present can be determined using other members of the data type hierarchy. Thus, for example ``isinstance(val, np.complexfloating)`` -will return :const:`True` if *val* is a complex valued type, while +will return :py:data:`True` if *val* is a complex valued type, while :const:`isinstance(val, np.flexible)` will return true if *val* is one of the flexible itemsize array types (:class:`string`, :class:`unicode`, :class:`void`). |