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d="2e71">The <code>len()</code> function can also be used with third-party data types such as NumPy arrays and Pandas series.</p><div id="a672"><pre><span class="hljs-attribute">import</span> numpy as np <span class="hljs-attribute">import</span> pandas as pd

<span class="hljs-comment"># Finding the length of a NumPy array</span> <span class="hljs-attribute">my_array</span> = np.array([<span class="hljs-number">1</span>, <span class="hljs-number">2</span>, <span class="hljs-number">3</span>, <span class="hljs-number">4</span>, <span class="hljs-number">5</span>]) <span class="hljs-attribute">print</span>(len(my_array)) # Output: <span class="hljs-number">5</span>

<span class="hljs-comment"># Finding the length of a Pandas series</span> <span class="hljs-attribute">my_series</span> = pd.Series([<span class="hljs-number">10</span>, <span class="hljs-number">20</span>, <span class="hljs-number">30</span>, <span class="hljs-number">40</span>, <span class="hljs-number">50</span>]) <span class="hljs-attribute">print</span>(len(my_series)) # Output: <span class="hljs-number">5</span></pre></div><h2 id="b412">Providing Support for len() with User-Defined Classes</h2><p id="322a">You can provide support for the <code>len()</code> function with user-defined classes by implementing the <code>len()</code> method.</p><div id="d114"><pre><span class="hljs-keyword">class</span> <span class="hljs-title class_">CustomList</span>: <span class="hljs-keyword">def</span> <span class="hljs-title function_">init</span>(<span class="hljs-params"><span class="hljs-variable language_">self</span>, items</span>): <span class="hljs-variable language_">self</span>.items = items

<span class="hljs-keyword

Options

">def</span> <span class="hljs-title function_">len</span>(<span class="hljs-params"><span class="hljs-variable language_">self</span></span>): <span class="hljs-keyword">return</span> len(<span class="hljs-variable language_">self</span>.items)

custom_list = <span class="hljs-title class_">CustomList</span>([<span class="hljs-number">7</span>, <span class="hljs-number">8</span>, <span class="hljs-number">9</span>, <span class="hljs-number">10</span>]) print(len(custom_list)) <span class="hljs-comment"># Output: 4</span></pre></div><p id="97aa">In this example, the <code>CustomList</code> class supports the <code>len()</code> function by defining the <code>len()</code> method, which returns the length of the list of items.</p><h2 id="cb00">Conclusion</h2><p id="c902">The <code>len()</code> function is a versatile tool in Python for finding the length of various data structures. It can be used with built-in data types, third-party data types, and user-defined classes, making it a powerful and flexible function in Python.</p><div id="d435" class="link-block"> <a href="https://readmedium.com/looping-with-python-enumerate-e627ea30563c"> <div> <div> <h2>Looping with Python Enumerate</h2> <div><h3>Enumerate() is a built-in function in Python that provides an easier way to loop over an iterable object while also…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*4kSdlOKEQqdYroo_Bdg_dA.jpeg)"></div> </div> </div> </a> </div></article></body>

Python’s len() Function

The `len()` function in Python is a built-in function that is used to find the length of a sequence, collection, or any other iterable object. It returns the number of items in an object. In this tutorial, you’ll learn how to use the `len()` function with built-in data types, third-party data types, and user-defined classes.

Using len() with Built-in Data Types

You can use the len() function to find the length of built-in data types such as lists, tuples, strings, dictionaries, and sets.

# Finding the length of a list
my_list = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5]
print(len(my_list))  # Output: 11

# Finding the length of a string
my_string = "Hello, World!"
print(len(my_string))  # Output: 13

Using len() with Third-Party Data Types

The len() function can also be used with third-party data types such as NumPy arrays and Pandas series.

import numpy as np
import pandas as pd

# Finding the length of a NumPy array
my_array = np.array([1, 2, 3, 4, 5])
print(len(my_array))  # Output: 5

# Finding the length of a Pandas series
my_series = pd.Series([10, 20, 30, 40, 50])
print(len(my_series))  # Output: 5

Providing Support for len() with User-Defined Classes

You can provide support for the len() function with user-defined classes by implementing the __len__() method.

class CustomList:
    def __init__(self, items):
        self.items = items

    def __len__(self):
        return len(self.items)

custom_list = CustomList([7, 8, 9, 10])
print(len(custom_list))  # Output: 4

In this example, the CustomList class supports the len() function by defining the __len__() method, which returns the length of the list of items.

Conclusion

The len() function is a versatile tool in Python for finding the length of various data structures. It can be used with built-in data types, third-party data types, and user-defined classes, making it a powerful and flexible function in Python.

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