Enhanced Data Visualization and Manipulation in Python

• Day: 2023-09-23
• Time: 19:00 to 19:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Visualization, Pandas, Matplotlib, Seaborn

Description

Session Goal

The session aimed to enhance [[data visualization]] techniques and manipulate data effectively using Python libraries such as Pandas, Matplotlib, and Seaborn.

Key Activities

• Data Manipulation: Inserted and updated DataFrame values, removed NaN entries, and recomputed derived metrics using Pandas.
• [[Data Visualization]]: Customized bar plots in Matplotlib and Seaborn, including adjusting bar widths and positions, and rendering bars as hollow for better visual distinction.
• Code Optimization: Modified the monthly payment structure to handle lists of payments and simulated debt payments with inflation adjustments.

Achievements

• Successfully updated DataFrames with new values and recalculated metrics.
• Enhanced bar plot visualizations with customized colors and hollow bars.
• Optimized payment handling code for better financial simulations.

Pending Tasks

• Further exploration of advanced visualization techniques in Seaborn.
• Additional optimization of data manipulation scripts for larger datasets.

Evidence

• source_file=2023-09-23.sessions.jsonl, line_number=1, event_count=0, session_id=6d1105d5799e8c435797a8f702c1000b59ce0147d6fc3682d054a02ad948f414
• event_ids: []