📅 2023-03-22 — Session: Enhanced Data Display in Jupyter Notebooks
🕒 19:30–19:45
🏷️ Labels: Jupyter, Pandas, Data Display, Python, Data Visualization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The main objective was to optimize the display settings in Jupyter notebooks for pandas DataFrames and numpy arrays to prevent truncation and improve readability.
Key Activities:
- Utilized the
pandas.set_option()function to adjust display settings, ensuring full visibility of arrays and DataFrame columns. - Implemented methods to prevent truncation of index columns and set maximum display limits for rows, columns, and column width.
- Explored the
to_flat_index()method for converting DataFrame indices to lists without introducing new lines. - Configured display options to show all column names and full numpy arrays without truncation.
Achievements:
- Successfully configured Jupyter notebooks to display complete DataFrames and numpy arrays, enhancing data visualization and analysis capabilities.
Pending Tasks:
- Further exploration of performance impacts due to extended display settings is needed to ensure efficient data handling.