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* Update quickstart.rst for Tokens --> Doc rename

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Matthew Honnibal 2015-07-08 18:54:08 +02:00
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docs/source/quickstart.rst
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@ -54,7 +54,7 @@ Usage
----- -----
The main entry-point is :meth:`en.English.__call__`, which accepts a unicode string The main entry-point is :meth:`en.English.__call__`, which accepts a unicode string
as an argument, and returns a :py:class:`tokens.Tokens` object. You can as an argument, and returns a :py:class:`tokens.Doc` object. You can
iterate over it to get :py:class:`tokens.Token` objects, which provide iterate over it to get :py:class:`tokens.Token` objects, which provide
a convenient API: a convenient API:
@ -88,7 +88,7 @@ the original orthographic form of the word.
.. py:class:: spacy.en.English(self, data_dir=join(dirname(__file__), 'data')) .. py:class:: spacy.en.English(self, data_dir=join(dirname(__file__), 'data'))
.. py:method:: __call__(self, text: unicode, tag=True, parse=True, entity=True, merge_mwes=False) --> Tokens .. py:method:: __call__(self, text: unicode, tag=True, parse=True, entity=True, merge_mwes=False) --> Doc
+-----------------+--------------+--------------+ +-----------------+--------------+--------------+
| Attribute | Type | Its API | | Attribute | Type | Its API |
@ -108,23 +108,23 @@ the original orthographic form of the word.
**Get dict or numpy array:** **Get dict or numpy array:**
.. py:method:: tokens.Tokens.to_array(self, attr_ids: List[int]) --> ndarray[ndim=2, dtype=long] .. py:method:: tokens.Doc.to_array(self, attr_ids: List[int]) --> ndarray[ndim=2, dtype=long]
.. py:method:: tokens.Tokens.count_by(self, attr_id: int) --> Dict[int, int] .. py:method:: tokens.Doc.count_by(self, attr_id: int) --> Dict[int, int]
**Get Token objects** **Get Token objects**
.. py:method:: tokens.Tokens.__getitem__(self, i) --> Token .. py:method:: tokens.Doc.__getitem__(self, i) --> Token
.. py:method:: tokens.Tokens.__iter__(self) --> Iterator[Token] .. py:method:: tokens.Doc.__iter__(self) --> Iterator[Token]
**Get sentence or named entity spans** **Get sentence or named entity spans**
.. py:attribute:: tokens.Tokens.sents --> Iterator[Span] .. py:attribute:: tokens.Doc.sents --> Iterator[Span]
.. py:attribute:: tokens.Tokens.ents --> Iterator[Span] .. py:attribute:: tokens.Doc.ents --> Iterator[Span]
You can iterate over a Span to access individual Tokens, or access its You can iterate over a Span to access individual Doc, or access its
start, end or label. start, end or label.