📅 2023-07-17 — Session: Enhanced Data Visualization with Matplotlib
🕒 18:35–21:10
🏷️ Labels: Python, Matplotlib, Data Visualization, Logarithms, Gitlab
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance data visualization techniques using Matplotlib and Seaborn in Python, focusing on improving plot aesthetics and functionality.
Key Activities
- Email Template Creation: Developed a template for addressing GitLab access issues.
- Pandas Syntax Correction: Corrected syntax for
str.contains()in Pandas to enable regex-based searches. - Matplotlib Plotting: Created various plots using Matplotlib, including thin gray lines, sorted plots with color representation, vertical colorbars, and customized axis visibility.
- Data Annotation and Customization: Adjusted slope values, aligned annotations, fixed arrowhead and colorbar mismatches, and customized plot aesthetics.
- Logarithmic Calculations: Calculated monthly rate of change using natural and base-10 logarithms.
- Data Manipulation: Implemented methods to calculate discounted variables from ideal lines and created subplots for time series data.
Achievements
- Successfully developed and refined multiple Matplotlib plots with enhanced visual clarity and data representation.
- Improved understanding of logarithmic calculations for financial data analysis.
Pending Tasks
- Further exploration of advanced data visualization techniques and integration with other data processing libraries.