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Print All Attributes of Object in Python


Print All Attributes of an Object in Python: A Step-by-Step Tutorial

Are you looking to explore all the attributes of an object in Python? Well, look no further! In this tutorial, we will guide you through the process of printing all the attributes of an object in Python using detailed, step-by-step instructions and executable sample codes. Let’s get started and dive into the world of Python!

1. Understanding Object Attributes

Before we jump into the code, let’s first understand what object attributes are in Python. In Python, objects are instances of a class, and attributes are the variables or properties associated with these objects. These attributes define the characteristics and behavior of the objects.

2. Identifying the Object

To print all the attributes of an object, we first need to identify the object we want to explore. You can create your own object or use built-in objects in Python. For the purpose of this tutorial, let’s consider a simple example where we create a class named “Car” with a few attributes.

class Car:
def __init__(self, model, color, year):
self.model = model
self.color = color
self.year = year
my_car = Car("Tesla", "Red", 2022)

In the above code, we have defined a class called “Car” with three attributes: model, color, and year. We have also created an object my_car using this class with the values “Tesla”, “Red”, and 2022.

3. Printing All Attributes

To print all the attributes of an object, we can make use of the dir() function in Python. The dir() function returns a list of attributes and methods of the specified object. Let’s see how we can use it to print all the attributes of our my_car object.


When you run the above code, it will output a list of attributes as follows:

['__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'color', 'model', 'year']

You can see that the output includes both the attributes we defined in our class (model, color, and year) as well as some built-in attributes.

4. Filtering Out Unwanted Attributes

If you want to filter out some unwanted attributes from the list, you can make use of conditional statements. For example, let’s say we want to exclude attributes that start with an underscore _. Here’s how you can achieve that:

attributes = [attribute for attribute in dir(my_car) if not attribute.startswith('_')]

The above code will only print the attributes that do not start with an underscore. You can modify the conditional statement as per your requirements to filter out other attributes.

5. Accessing Attribute Values

To access the values of the attributes, you can simply use dot notation (object.attribute). For example, to print the value of the model attribute of our my_car object, you can use the following code:


This will output:


You can similarly access and print the values of other attributes as well.


Printing all the attributes of an object in Python is made easy with the use of the dir() function. By following the steps outlined in this tutorial, you can explore and understand the attributes associated with any object in Python. Using the executable sample codes provided, you can experiment and modify them to suit your specific needs. Happy coding!