Enhanced Data Processing and Jupyter Notebook Automation

📅 2023-03-27 — Session: Enhanced Data Processing and Jupyter Notebook Automation

🕒 17:10–18:05
🏷️ Labels: Data Processing, Jupyter Automation, Pandas, Geopandas, Command Line
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to improve data processing techniques and automate the conversion of Jupyter notebooks to different formats.

Key Activities:

• Conducted a comparison between old and new versions of data processing code, focusing on improvements like merging with country shapes and creating unique project location identifiers.
• Modified DataFrames using Pandas and GeoPandas to explode geographical columns and include new calculated columns such as even_split_totalamt.
• Cleaned DataFrame columns by removing commas and converting strings to floats.
• Automated the conversion of Jupyter notebooks to PDF and HTML formats using command-line tools like jupyter nbconvert and find, excluding checkpoint files.
• Utilized Unix command history to efficiently locate and reuse nbconvert commands.

Achievements:

• Successfully refactored data processing code to enhance functionality and clarity.
• Implemented automation scripts for converting Jupyter notebooks, improving workflow efficiency.

Pending Tasks:

• Further testing of the new data processing code to ensure robustness.
• Explore additional automation opportunities for other data formats or environments.