Day - 02 | Different ways to create DataFrames in Python | pandas in python| pandas dataframe python
🚀 *Welcome to AI Ki Pathshala!* 🚀
Timestamp:
00:00:00 - 00:05:28 : Creation of the DataFrame by Passing a Dictionary to the DataFrame Constructor
00:05:29 - 00:10:37 : Python Lists passing to the DataFrame should be of equal length
00:10:38 - 00:19:21 : Creation of DataFrame from Dictionary of Tuples
00:19:22 - 00:22:58 : Creation of DataFrame from Dictionary of Series
00:22:59 - 00:35:44 : Creation of DataFrame from dict of dicts by using built in Python 'enumerate' function
00:35:45 : Committing code to gitHub and End Note
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GitHub Repository : https://github.com/anup-byte/Pandas_D...
Pandas in Python - Series : • Pandas in Python - Series
Numpy Playlist : • Python Numpy Array | Numpy for Data S...
Basics of Python Playlist : • Basics of Python
Advance Python Playlist : • Advance Python
Basics of Git and GitHub Playlist : • Basics of Git and GitHub
Dive into the world of Pandas with our latest tutorial! In this session, we explored the diverse ways to create DataFrames in Python. 🐼
📊 Topics Covered:
1. Dictionary to DataFrame: Witness the magic of transforming a dictionary into a powerful DataFrame using the DataFrame constructor.
2. Equal-Length Lists: Learn why it's crucial for Python lists passed to the DataFrame constructor to be of equal length.
3. Dictionary of Tuples: Uncover the process of creating a DataFrame from a dictionary of tuples, unlocking new possibilities.
4. Dictionary of Series: Harness the potential of DataFrames by constructing them from a dictionary of Pandas Series.
5.Dict of Dicts with Enumerate: Delve into advanced techniques using a dictionary of dictionaries, enhanced by the 'enumerate' function.
Join us on this coding journey, enhance your Pandas skills, and don't forget to commit to GitHub for a collaborative coding experience!
Have questions or need further clarification? Drop us an email at aikipaathshala@gmail.com. Your learning journey just got more exciting! 🚀📈
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