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<h3>Python Iterators</h3>
<hr>
<p>An <b>iterator</b> may be defined as an object that contains countable number of values.<br>
In other words an <b>iterator</b>is an object through which we can traverse all the given values.<br>
In python, techically an <b>iterator</b> is an object which consists of <b>__iter__()</b> and <b>__next__()</b> methods.</p>
<h5>The iter() method</h5>
<p>As we know, list,tuples,dictionaries,sets are iterable objects.All these objects have their <b>iter()</b> method which is used to get an iterator.<br>Lwt's take an example of a <b>list</b>.</p>
<b>Example:</b>
<pre><code>list1 = ["january", "february", "march"]
iterator1 = iter(list1)
print(next(iterator1))
print(next(iterator1))
print(next(iterator1))
</code></pre>
<b>Output:</b>
<pre><code>january
february
march
</code></pre>
<p>In the above code, we create a list named <b>list1</b> in which we used <b>iter()</b> method to access all the elements.</p>
<p><b>Note:</b>Strings are also iterable objects.It will work same as list worked above.</p>
<h5>Using loop through an Iterator</h5>
<p>We can also use loop to iterate through the iterable objects.<br>
For example,take <b>for</b> loop in to iterate through objects.</p>
<b>Example:</b>
<pre><code>list1 = ["january", "february", "march"]
for var in list1:
print(var)
</code></pre>
<b>Output:</b>
<pre><code>january
february
march</code></pre>
<p>We can also use loops in tuple,dictionaries ,sets as well as strings.</p>
<h5>Creation of Iterators</h5>
<p>For craetion of an <b>bject/class</b> as an iterator, we have to use 2 methods here:</p>
<ol><li><b>__iter__()</b></li>
<li><b>__next__()</b></li></ol>
<p>The above methods should be implemented to the objects.</p>
<p><b>__iter__() method-</b> This method is helps us to perform the operations but it will always return the iterator object itself.</p><br>
<p><b>__next__() method-</b> This method allows us to do operations and it will return the next item in the sequence.</p><br>
<b>Example:</b>
<pre><code>class Multiple:
def __iter__(self):
self.num = 10
return self
def __next__(self):
var = self.num
self.num *= 10
return var
nclass = Multiple()
iterator = iter(nclass)
print(next(iterator))
print(next(iterator))
print(next(iterator))
print(next(iterator))
print(next(iterator))
</code></pre>
<b>Output:</b>
<pre><code>10
100
1000
10000
100000
</code></pre>
<h5>StopIteration statement</h5>
<p>This statement is used to stop the iteration at a particular condition. It will prevent the iteration to go on forever.<br>
In the __next__() method, we can add a terminating condition to raise an error if the iteration is done a specified number of times.<br></p>
<b>Syntax:</b>
<pre><code>def __next__(self):
if <b>condition</b>:
code
else:
raise <b>StopIteration</b> #The <b>raise</b> keyword is used to raise an exception.
</code></pre>
<b>Example:</b>
<pre><code>class Multiple:
def __iter__(self):
self.num = 10
return self
def __next__(self):
if self.num <=100000: #condition
var = self.num
self.num *= 10
return var
else:
raise <b>StopIteration</b>
numclass = Multiple()
iterator = iter(numclass)
for var in iterator:
print(var)
</code></pre>
<b>Output:</b>
<pre><code>10
100
1000
10000
100000
1000000
</code></pre>
<p>In the above code, we used the statement <b>StopIteration</b> to prevent our loop to run forever.</p>
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