Enhanced Data Display in Jupyter Notebooks

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📅 2023-03-22 — Session: Enhanced Data Display in Jupyter Notebooks

🕒 19:30–19:45
🏷️ Labels: Jupyter, Pandas, Data Display, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to enhance data display capabilities in Jupyter Notebooks by adjusting settings to prevent truncation of dataframes and arrays.

Key Activities:

  • Adjusted display settings in Jupyter Notebooks using pandas’ set_option() to prevent truncation of arrays and dataframes.
  • Modified display settings for pandas DataFrames to avoid truncation of index columns, setting maximum rows, columns, and column width.
  • Configured pandas options to prevent dataframe truncation in Jupyter, considering performance impacts.
  • Converted pandas DataFrame index to a list without new lines using to_flat_index() and tolist().
  • Displayed all columns of a pandas DataFrame in Jupyter without truncation, providing code examples and readability considerations.
  • Displayed full numpy arrays and pandas column names without truncation using specific print options.

Achievements:

  • Successfully implemented methods to display full dataframes and arrays in Jupyter Notebooks without truncation.
  • Improved data visualization and readability in Jupyter environments.

Pending Tasks:

  • Explore further optimization of display settings for large datasets to balance performance and readability.

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