Flatten a List of Nested Tuples in Python
by Abdul Rawoof A R Updated: Feb 22, 2023
In Python, the function used to get a copy of a given array collapsed into one dimension is called flatten() function.
When it is required to flatten a nested list of items into a tuple list, it takes a list as a parameter with a method defined, and to check if an element belongs to a specific type, the 'isinstance' method is used.
A process of transforming a two-dimensional list into a one-dimensional list by un-nesting every element kept in the list of lists is known as flattening a list of lists. It is mainly used for flattening the multi-dimensional input tensors into a single dimension so we can model our input layer and build our neural network model. Then, we pass those data into every single neuron of the model effectively. We can understand this easily with the fashion MNIST dataset. It is mostly done to put data in a format that a relational data warehouse can use natively and ensure the queries perform well. But we lose information, like having a shadow instead of a real object. When we flatten, we lose information.
Here is an example of how to flatten a list of nested tuples in Python:
Fig : Preview of the output that you will get on running this code from your IDE.
Follow the steps carefully to get the output easily.
- Install python on your IDE(Any of your favorite IDE).
- Copy the snippet using the 'copy' and paste it in your IDE.
- Run the file to generate the output.
I hope you found this useful.
I found this code snippet by searching for 'How to flatten a list of nested tuples in Python' in kandi. You can try any such use case!
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in PyCharm 2021.3.
- The solution is tested on Python 3.9.7.
- Pandas version-v1.5.2.
Using this solution, we are able to flatten a list of nested tuples in python with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to flatten a list of nested tuples in python.
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