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Documentation nits.

This commit is contained in:
Raymond Hettinger 2008-01-07 21:33:51 +00:00
parent f5e8af1bb7
commit f6b769b464
1 changed files with 5 additions and 5 deletions
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Doc/library/collections.rst
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@ -364,8 +364,8 @@ they add the ability to access fields by name instead of position index.
method which lists the tuple contents in a ``name=value`` format. method which lists the tuple contents in a ``name=value`` format.
The *fieldnames* are a single string with each fieldname separated by whitespace The *fieldnames* are a single string with each fieldname separated by whitespace
and/or commas (for example 'x y' or 'x, y'). Alternatively, the *fieldnames* and/or commas (for example 'x y' or 'x, y'). Alternatively, *fieldnames*
can be specified with a sequence of strings (such as ['x', 'y']). can be a sequence of strings (such as ['x', 'y']).
Any valid Python identifier may be used for a fieldname except for names Any valid Python identifier may be used for a fieldname except for names
starting with an underscore. Valid identifiers consist of letters, digits, starting with an underscore. Valid identifiers consist of letters, digits,
@ -482,7 +482,7 @@ three additional methods and one attribute.
.. attribute:: somenamedtuple._fields .. attribute:: somenamedtuple._fields
Tuple of strings listing the field names. This is useful for introspection Tuple of strings listing the field names. Useful for introspection
and for creating new named tuple types from existing named tuples. and for creating new named tuple types from existing named tuples.
:: ::
@ -501,7 +501,7 @@ function::
>>> getattr(p, 'x') >>> getattr(p, 'x')
11 11
When casting a dictionary to a named tuple, use the double-star-operator [#]_:: To cast a dictionary to a named tuple, use the double-star-operator [#]_::
>>> d = {'x': 11, 'y': 22} >>> d = {'x': 11, 'y': 22}
>>> Point(**d) >>> Point(**d)
@ -526,7 +526,7 @@ a fixed-width print format::
Point: x= 1.286 y= 6.000 hypot= 6.136 Point: x= 1.286 y= 6.000 hypot= 6.136
Another use for subclassing is to replace performance critcal methods with Another use for subclassing is to replace performance critcal methods with
faster versions that bypass error-checking and localize variable access:: faster versions that bypass error-checking and that localize variable access::
>>> class Point(namedtuple('Point', 'x y')): >>> class Point(namedtuple('Point', 'x y')):
_make = classmethod(tuple.__new__) _make = classmethod(tuple.__new__)