📅 2023-07-17 — Session: Enhanced Data Visualization with Matplotlib
🕒 18:35–21:10
🏷️ Labels: Python, Matplotlib, Data Visualization, Pandas, Email Template
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to enhance data visualization techniques using Matplotlib and Seaborn in Python, focusing on creating clear and informative plots.
Key Activities
- Developed an email template for GitLab access issues.
- Corrected syntax for
str.contains()in Pandas for better data manipulation. - Created various plots using Matplotlib and Seaborn, including thin gray lines, color representations, and vertical colorbars.
- Revised and adjusted Python code for plotting slope values, aligning annotations, and customizing plot aesthetics.
- Calculated monthly rates of change from logarithmic slopes, providing insights into financial data.
- Implemented subplots for time series data visualization.
Achievements
- Successfully created and customized multiple Matplotlib plots, improving data visualization clarity and accuracy.
- Clarified complex data manipulation techniques in Pandas.
- Provided actionable insights into financial data through logarithmic calculations.
Pending Tasks
- Further refine the email template for GitLab access issues based on feedback.
- Explore additional customization options in Matplotlib for more complex datasets.