DOC: Add docstring for LabelArray.

This commit is contained in:
Scott Sanderson
2016-05-04 15:54:50 -04:00
parent 1a2ed2724b
commit 23324b4218
+29
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@@ -74,6 +74,35 @@ class LabelArray(ndarray):
Factorizes the input array into integers, but overloads equality on strings
to check against the factor label.
Parameters
----------
values : array-like
Array of values that can be passed to np.asarray with dtype=object.
missing_value : str
Scalar value to treat as 'missing' for operations on ``self``.
categories : list[str], optional
List of values to use as categories. If not supplied, categories will
be inferred as the unique set of entries in ``values``.
sort : bool, optional
Whether to sort categories. If sort is False and categories is
supplied, they are left in the order provided. If sort is False and
categories is None, categories will be constructed in a random order.
Notes
-----
Consumers should be cautious when passing instances of LabelArray to numpy
functions. We attempt to disallow as many meaningless operations as
possible, but since a LabelArray is just an ndarray of ints with some
additional metadata, many numpy functions (for example, trigonometric) will
happily accept a LabelArray and treat its values as though they were
integers.
In a future change, we may be able to disallow more numerical operations by
creating a wrapper dtype which doesn't register an implementation for most
numpy ufuncs. Until that change is made, consumers of LabelArray should
assume that it is undefined behavior to pass a LabelArray to any numpy
ufunc that operates on semantically-numerical data.
See Also
--------
http://docs.scipy.org/doc/numpy-1.10.0/user/basics.subclassing.html