Implemented Data Manipulation Techniques with Pandas

📅 2023-02-07 — Session: Implemented Data Manipulation Techniques with Pandas

🕒 19:40–20:55
🏷️ Labels: Python, Pandas, Data Manipulation, Geopandas, Dataframe
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to explore and implement various data manipulation techniques using the Pandas library in Python.

Key Activities

• Provided code examples for manipulating and structuring data related to various countries using Pandas.
• Demonstrated how to handle and format data strings, including an alternative solution using string splitting techniques.
• Illustrated the use of the rpartition method to split strings into a DataFrame with distinct columns.
• Showcased the conversion of apply method results into a new DataFrame with specified column names.
• Transformed a DataFrame by exploding values in a specified column and pivoting based on the exploded values.
• Conducted a spatial join of geospatial dataframes using the GeoPandas library to find points within specified areas.

Achievements

• Successfully implemented various data manipulation techniques using Pandas and GeoPandas.
• Clarified the process of transforming and merging DataFrames with new structures.

Pending Tasks

• Further exploration of advanced data manipulation techniques and optimization strategies for large datasets.