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<H2><A NAME="SECTION0071610000000000000000"></A><A NAME="itertools-functions"></A>
<BR>
5.16.1 Itertool functions
</H2>
<P>
The following module functions all construct and return iterators.
Some provide streams of infinite length, so they should only be accessed
by functions or loops that truncate the stream.
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1383' xml:id='l2h-1383' class="function">chain</tt></b>(</nobr></td>
<td><var>*iterables</var>)</td></tr></table></dt>
<dd>
Make an iterator that returns elements from the first iterable until
it is exhausted, then proceeds to the next iterable, until all of the
iterables are exhausted. Used for treating consecutive sequences as
a single sequence. Equivalent to:
<P>
<div class="verbatim"><pre>
def chain(*iterables):
for it in iterables:
for element in it:
yield element
</pre></div>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1384' xml:id='l2h-1384' class="function">count</tt></b>(</nobr></td>
<td><var></var><big>[</big><var>n</var><big>]</big><var></var>)</td></tr></table></dt>
<dd>
Make an iterator that returns consecutive integers starting with <var>n</var>.
If not specified <var>n</var> defaults to zero.
Does not currently support python long integers. Often used as an
argument to <tt class="function">imap()</tt> to generate consecutive data points.
Also, used with <tt class="function">izip()</tt> to add sequence numbers. Equivalent to:
<P>
<div class="verbatim"><pre>
def count(n=0):
while True:
yield n
n += 1
</pre></div>
<P>
Note, <tt class="function">count()</tt> does not check for overflow and will return
negative numbers after exceeding <code>sys.maxint</code>. This behavior
may change in the future.
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1385' xml:id='l2h-1385' class="function">cycle</tt></b>(</nobr></td>
<td><var>iterable</var>)</td></tr></table></dt>
<dd>
Make an iterator returning elements from the iterable and saving a
copy of each. When the iterable is exhausted, return elements from
the saved copy. Repeats indefinitely. Equivalent to:
<P>
<div class="verbatim"><pre>
def cycle(iterable):
saved = []
for element in iterable:
yield element
saved.append(element)
while saved:
for element in saved:
yield element
</pre></div>
<P>
Note, this member of the toolkit may require significant
auxiliary storage (depending on the length of the iterable).
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1386' xml:id='l2h-1386' class="function">dropwhile</tt></b>(</nobr></td>
<td><var>predicate, iterable</var>)</td></tr></table></dt>
<dd>
Make an iterator that drops elements from the iterable as long as
the predicate is true; afterwards, returns every element. Note,
the iterator does not produce <em>any</em> output until the predicate
is true, so it may have a lengthy start-up time. Equivalent to:
<P>
<div class="verbatim"><pre>
def dropwhile(predicate, iterable):
iterable = iter(iterable)
for x in iterable:
if not predicate(x):
yield x
break
for x in iterable:
yield x
</pre></div>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1387' xml:id='l2h-1387' class="function">groupby</tt></b>(</nobr></td>
<td><var>iterable</var><big>[</big><var>, key</var><big>]</big><var></var>)</td></tr></table></dt>
<dd>
Make an iterator that returns consecutive keys and groups from the
<var>iterable</var>. The <var>key</var> is a function computing a key value for each
element. If not specified or is <code>None</code>, <var>key</var> defaults to an
identity function and returns the element unchanged. Generally, the
iterable needs to already be sorted on the same key function.
<P>
The returned group is itself an iterator that shares the underlying
iterable with <tt class="function">groupby()</tt>. Because the source is shared, when
the <tt class="function">groupby</tt> object is advanced, the previous group is no
longer visible. So, if that data is needed later, it should be stored
as a list:
<P>
<div class="verbatim"><pre>
groups = []
uniquekeys = []
for k, g in groupby(data, keyfunc):
groups.append(list(g)) # Store group iterator as a list
uniquekeys.append(k)
</pre></div>
<P>
<tt class="function">groupby()</tt> is equivalent to:
<P>
<div class="verbatim"><pre>
class groupby(object):
def __init__(self, iterable, key=None):
if key is None:
key = lambda x: x
self.keyfunc = key
self.it = iter(iterable)
self.tgtkey = self.currkey = self.currvalue = xrange(0)
def __iter__(self):
return self
def next(self):
while self.currkey == self.tgtkey:
self.currvalue = self.it.next() # Exit on StopIteration
self.currkey = self.keyfunc(self.currvalue)
self.tgtkey = self.currkey
return (self.currkey, self._grouper(self.tgtkey))
def _grouper(self, tgtkey):
while self.currkey == tgtkey:
yield self.currvalue
self.currvalue = self.it.next() # Exit on StopIteration
self.currkey = self.keyfunc(self.currvalue)
</pre></div>
<span class="versionnote">New in version 2.4.</span>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1388' xml:id='l2h-1388' class="function">ifilter</tt></b>(</nobr></td>
<td><var>predicate, iterable</var>)</td></tr></table></dt>
<dd>
Make an iterator that filters elements from iterable returning only
those for which the predicate is <code>True</code>.
If <var>predicate</var> is <code>None</code>, return the items that are true.
Equivalent to:
<P>
<div class="verbatim"><pre>
def ifilter(predicate, iterable):
if predicate is None:
predicate = bool
for x in iterable:
if predicate(x):
yield x
</pre></div>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1389' xml:id='l2h-1389' class="function">ifilterfalse</tt></b>(</nobr></td>
<td><var>predicate, iterable</var>)</td></tr></table></dt>
<dd>
Make an iterator that filters elements from iterable returning only
those for which the predicate is <code>False</code>.
If <var>predicate</var> is <code>None</code>, return the items that are false.
Equivalent to:
<P>
<div class="verbatim"><pre>
def ifilterfalse(predicate, iterable):
if predicate is None:
predicate = bool
for x in iterable:
if not predicate(x):
yield x
</pre></div>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1390' xml:id='l2h-1390' class="function">imap</tt></b>(</nobr></td>
<td><var>function, *iterables</var>)</td></tr></table></dt>
<dd>
Make an iterator that computes the function using arguments from
each of the iterables. If <var>function</var> is set to <code>None</code>, then
<tt class="function">imap()</tt> returns the arguments as a tuple. Like
<tt class="function">map()</tt> but stops when the shortest iterable is exhausted
instead of filling in <code>None</code> for shorter iterables. The reason
for the difference is that infinite iterator arguments are typically
an error for <tt class="function">map()</tt> (because the output is fully evaluated)
but represent a common and useful way of supplying arguments to
<tt class="function">imap()</tt>.
Equivalent to:
<P>
<div class="verbatim"><pre>
def imap(function, *iterables):
iterables = map(iter, iterables)
while True:
args = [i.next() for i in iterables]
if function is None:
yield tuple(args)
else:
yield function(*args)
</pre></div>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1391' xml:id='l2h-1391' class="function">islice</tt></b>(</nobr></td>
<td><var>iterable, </var><big>[</big><var>start,</var><big>]</big><var> stop </var><big>[</big><var>, step</var><big>]</big><var></var>)</td></tr></table></dt>
<dd>
Make an iterator that returns selected elements from the iterable.
If <var>start</var> is non-zero, then elements from the iterable are skipped
until start is reached. Afterward, elements are returned consecutively
unless <var>step</var> is set higher than one which results in items being
skipped. If <var>stop</var> is <code>None</code>, then iteration continues until
the iterator is exhausted, if at all; otherwise, it stops at the specified
position. Unlike regular slicing,
<tt class="function">islice()</tt> does not support negative values for <var>start</var>,
<var>stop</var>, or <var>step</var>. Can be used to extract related fields
from data where the internal structure has been flattened (for
example, a multi-line report may list a name field on every
third line). Equivalent to:
<P>
<div class="verbatim"><pre>
def islice(iterable, *args):
s = slice(*args)
it = iter(xrange(s.start or 0, s.stop or sys.maxint, s.step or 1))
nexti = it.next()
for i, element in enumerate(iterable):
if i == nexti:
yield element
nexti = it.next()
</pre></div>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1392' xml:id='l2h-1392' class="function">izip</tt></b>(</nobr></td>
<td><var>*iterables</var>)</td></tr></table></dt>
<dd>
Make an iterator that aggregates elements from each of the iterables.
Like <tt class="function">zip()</tt> except that it returns an iterator instead of
a list. Used for lock-step iteration over several iterables at a
time. Equivalent to:
<P>
<div class="verbatim"><pre>
def izip(*iterables):
iterables = map(iter, iterables)
while iterables:
result = [it.next() for it in iterables]
yield tuple(result)
</pre></div>
<P>
<span class="versionnote">Changed in version 2.4:
When no iterables are specified, returns a zero length
iterator instead of raising a TypeError exception.</span>
<P>
Note, the left-to-right evaluation order of the iterables is guaranteed.
This makes possible an idiom for clustering a data series into n-length
groups using "<tt class="samp">izip(*[iter(s)]*n)</tt>". For data that doesn't fit
n-length groups exactly, the last tuple can be pre-padded with fill
values using "<tt class="samp">izip(*[chain(s, [None]*(n-1))]*n)</tt>".
<P>
Note, when <tt class="function">izip()</tt> is used with unequal length inputs, subsequent
iteration over the longer iterables cannot reliably be continued after
<tt class="function">izip()</tt> terminates. Potentially, up to one entry will be missing
from each of the left-over iterables. This occurs because a value is fetched
from each iterator in-turn, but the process ends when one of the iterators
terminates. This leaves the last fetched values in limbo (they cannot be
returned in a final, incomplete tuple and they are cannot be pushed back
into the iterator for retrieval with <code>it.next()</code>). In general,
<tt class="function">izip()</tt> should only be used with unequal length inputs when you
don't care about trailing, unmatched values from the longer iterables.
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1393' xml:id='l2h-1393' class="function">repeat</tt></b>(</nobr></td>
<td><var>object</var><big>[</big><var>, times</var><big>]</big><var></var>)</td></tr></table></dt>
<dd>
Make an iterator that returns <var>object</var> over and over again.
Runs indefinitely unless the <var>times</var> argument is specified.
Used as argument to <tt class="function">imap()</tt> for invariant parameters
to the called function. Also used with <tt class="function">izip()</tt> to create
an invariant part of a tuple record. Equivalent to:
<P>
<div class="verbatim"><pre>
def repeat(object, times=None):
if times is None:
while True:
yield object
else:
for i in xrange(times):
yield object
</pre></div>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1394' xml:id='l2h-1394' class="function">starmap</tt></b>(</nobr></td>
<td><var>function, iterable</var>)</td></tr></table></dt>
<dd>
Make an iterator that computes the function using arguments tuples
obtained from the iterable. Used instead of <tt class="function">imap()</tt> when
argument parameters are already grouped in tuples from a single iterable
(the data has been ``pre-zipped''). The difference between
<tt class="function">imap()</tt> and <tt class="function">starmap()</tt> parallels the distinction
between <code>function(a,b)</code> and <code>function(*c)</code>.
Equivalent to:
<P>
<div class="verbatim"><pre>
def starmap(function, iterable):
iterable = iter(iterable)
while True:
yield function(*iterable.next())
</pre></div>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1395' xml:id='l2h-1395' class="function">takewhile</tt></b>(</nobr></td>
<td><var>predicate, iterable</var>)</td></tr></table></dt>
<dd>
Make an iterator that returns elements from the iterable as long as
the predicate is true. Equivalent to:
<P>
<div class="verbatim"><pre>
def takewhile(predicate, iterable):
for x in iterable:
if predicate(x):
yield x
else:
break
</pre></div>
</dl>
<P>
<dl><dt><table cellpadding="0" cellspacing="0"><tr valign="baseline">
<td><nobr><b><tt id='l2h-1396' xml:id='l2h-1396' class="function">tee</tt></b>(</nobr></td>
<td><var>iterable</var><big>[</big><var>, n=2</var><big>]</big><var></var>)</td></tr></table></dt>
<dd>
Return <var>n</var> independent iterators from a single iterable.
The case where <code>n==2</code> is equivalent to:
<P>
<div class="verbatim"><pre>
def tee(iterable):
def gen(next, data={}, cnt=[0]):
for i in count():
if i == cnt[0]:
item = data[i] = next()
cnt[0] += 1
else:
item = data.pop(i)
yield item
it = iter(iterable)
return (gen(it.next), gen(it.next))
</pre></div>
<P>
Note, once <tt class="function">tee()</tt> has made a split, the original <var>iterable</var>
should not be used anywhere else; otherwise, the <var>iterable</var> could get
advanced without the tee objects being informed.
<P>
Note, this member of the toolkit may require significant auxiliary
storage (depending on how much temporary data needs to be stored).
In general, if one iterator is going to use most or all of the data before
the other iterator, it is faster to use <tt class="function">list()</tt> instead of
<tt class="function">tee()</tt>.
<span class="versionnote">New in version 2.4.</span>
</dl>
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