Beginner Machine Learning | Pandas Python Library | Lesson: Renaming and Combining

🤝 "Kaggle Pandas: Renaming & Combining - Reshaping and Uniting Your Data!" 🔗

🔍 We're back to Kaggle's Pandas course, diving into the essential techniques of Renaming and Combining DataFrames and Series!

📌 Introduction to Renaming and Combining:

Often, data comes with unsatisfactory naming conventions.
We'll learn to use Pandas functions to rename columns and indices.
We'll also explore how to combine data from multiple sources.

🏷️ Renaming:

.rename(): Changes index names and/or column names.
Takes a dictionary where keys are old names and values are new names.
Example (renaming a column): reviews.rename(columns={'points': 'score'}).
Can also rename index values using the index parameter.
Example (renaming index values): reviews.rename(index={0: 'first entry', 1: 'second entry'}).
.set_index(): Generally more convenient for renaming index values.
Both row and column indices can have a name attribute.
.rename_axis(): Changes the names of the index and column axes.
Example (renaming row axis): reviews.rename_axis('wines', axis='rows').
Example (renaming column axis): reviews.rename_axis('fields', axis='columns').

🔗 Combining:

Pandas offers three core methods for combining DataFrames/Series: concat (easiest), join (middle), and merge (most complex - omitted here).

🛠️ concat():

Combines a list of Pandas objects along a specified axis.
Useful when you have data with the same fields/columns in different objects.
Example (concatenating two Series): pd.concat([canada_data, uk_data]).

🛠️ join():

Combines DataFrame objects based on a common index.
Example (joining two DataFrames with a common index "title" and "trending_date"):
Python

canada_yt.set_index(['title', 'trending_date'], inplace=True)
uk_yt.set_index(['title', 'trending_date'], inplace=True)
trending_vids = canada_yt.join(uk_yt, lsuffix='_can', rsuffix='_uk')
lsuffix and rsuffix parameters are used to differentiate columns with the same name.

➡️ Moving Forward:

We've learned how to rename columns and indices and combine DataFrames using concat and join.
We're now moving on to the "Exercise: Renaming and Combining."
Let's put these data manipulation techniques into practice!

#KagglePandas #Renaming #Combining #Concat #Join #DataFrameManipulation #PythonPandas #PandasTutorial #DataScience #LearnPandas 🤝🔗🛠️➡️

📚 Further expand your web development knowledge

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Javascript Codewars Series: https://www.youtube.com/playlist?list=PLktFju7xyBzSQq5tnV-qJV5v8cZ7PtO1k

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