Top 7 Methods To Display All Defined Variables In Python

I’m currently working with Python in a shell environment, and I find myself often needing to view all defined variables, similar to how one can in Matlab. This allows me to keep track of the variables I’ve created and their corresponding values. In this post, we’ll explore several effective methods for displaying user-defined variables in Python. For a more enhanced shell experience, consider using IPython . IPython offers a magic command %who that lists all user-defined variables. For more detailed information, you can use %whos, which provides the type and value of each variable:

Explore all the available magic commands in the IPython Documentation and discover more tips in this Dataquest article on Jupyter Notebooks . In this article, we are going to discuss how to view all defined variables in Python. Viewing all defined variables plays a major role while debugging the code. dir() is a built-in function to store all the variables inside a program along with the built-in variable functions and methods. It creates a list of all declared and built-in variables. There are two different ways to view all defined variables using dir( ).

They are discussed below. When no user-defined variable starts with '__' : var2 is <class 'str'> and is equal to Welcome to geeksforgeeks var3 is <class 'dict'> and is equal to {'1': 'a', '2': 'b'} Communities for your favorite technologies. Explore all Collectives

Ask questions, find answers and collaborate at work with Stack Overflow Internal. Ask questions, find answers and collaborate at work with Stack Overflow Internal. Explore Teams Find centralized, trusted content and collaborate around the technologies you use most. Connect and share knowledge within a single location that is structured and easy to search. When working with Python, it is often necessary to display the values of variables for debugging or understanding the flow of a program.

Python provides several ways to achieve this, allowing developers to easily view the names and values of variables during runtime. In this article, we will explore different methods to display variable names and values in Python 3, along with examples and related evidence. The simplest and most commonly used method to display variable names and values in Python is by using the print() function. By passing the variable name as an argument to print(), we can easily view its value. As shown in the example above, we can include a descriptive label before the variable name to provide more context when displaying the value. In Python, the locals() function returns a dictionary containing the current local symbol table.

By iterating over this dictionary, we can display all the variable names and their corresponding values. Using the locals() function allows us to dynamically display all the variables within the current scope, making it useful when dealing with a large number of variables. Have you ever needed to analyze a Python script to list all variables, functions, or methods? Whether you’re documenting code, refactoring, building static analysis tools, or simply trying to understand a unfamiliar script, extracting variable and method names is a common task. However, doing this manually is error-prone, and naive approaches like regular expressions often fail to handle Python’s complex syntax (e.g., nested functions, comments, or string literals that mimic code). In this guide, we’ll explore reliable, automated methods to extract variable and method names from Python scripts.

We’ll start with the limitations of manual approaches, then dive into the gold standard: using Python’s built-in ast module (Abstract Syntax Tree) for precise parsing. We’ll also cover edge cases, tools, and best practices to ensure accuracy. Before diving in, let’s clarify definitions: A common first thought is to use regular expressions (regex) to “scrape” variable and method names. For example, you might use a pattern like r"\bdef\s+(\w+)\(" to find function names. However, regex struggles with Python’s complexity:

A regex might extract x, welcome, x, y—but x (comment) and welcome (string) are not actual variables/methods. How do you create a list of variables in Python? In Python, a list is created by placing elements inside square brackets [] , separated by commas. A list can have any number of items and they may be of different types (integer, float, string, etc.). How do you display a variable in Python? To print multiple variables in Python, use the print() function.

The print(*objects) is a built-in Python function that takes the *objects as multiple arguments to print each argument separated by a space. There are many ways to print multiple variables. A simple way is to use the print() function. How do you check if a variable is not defined Python? When working with Python modules, it is often helpful to obtain a list of all the variables defined within a module. This information can be useful for various purposes, such as debugging, documentation generation, or dynamically accessing and manipulating variables in your code.

In this article, we will explore different methods to obtain a list of variables in a Python module. Python provides a built-in function called dir() that returns a list of names in the current local scope or a specified object. When used with a module as an argument, dir() returns a list of all the names defined in that module. These names include variables, functions, classes, and other objects. The above code imports the math module and uses the dir() function to obtain a list of all the names defined in the module. The resulting list, stored in the variables variable, is then printed to the console.

Running this code will output a list of variables and other names defined in the math module, such as pi, sqrt, sin, and many others. In addition to dir(), Python provides two other built-in functions called globals() and locals(). These functions return dictionaries containing the names defined in the global and local scopes, respectively. Recommended Video CourseVariables in Python Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Variables in Python

In Python, variables are symbolic names that refer to objects or values stored in your computer’s memory. They allow you to assign descriptive names to data, making it easier to manipulate and reuse values throughout your code. You create a Python variable by assigning a value using the syntax variable_name = value. By the end of this tutorial, you’ll understand that: To get the most out of this tutorial, you should be familiar with Python’s basic data types and have a general understanding of programming concepts like loops and functions.

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