eda_toolkit 0.0.1c

Release Notes

Changes from main_old.py to main.py

1. Imports and Dependencies:

• Removed:
  • import datetime.
• Added:
  • import matplotlib.ticker as mticker for formatting.
  • import sys for conditional imports.
  • Conditional import of datetime depending on Python version (sys.version_info).

2. Function Changes:

• Function add_ids:

  • Parameter Modifications:
    • column_name renamed to id_colname.
    • New parameters num_digits to specify ID digit length, and set_as_index to optionally set the new ID column as the index.
  • Functionality Update:
    • Allows setting the new ID column as an index and customizes the number of digits in generated IDs.
  • Documentation Update: Expanded to describe new parameters and functionality.

• Function scatter_plots_grid:

  • New Functionality:
    • Added options for customizing axis limits (xlim, ylim).
    • Enhanced options for saving plots as PNG or SVG.
    • Added support for showing or hiding plots based on user preference (show_plot parameter).
    • Improved legend management with the option to show or remove the legend.
    • Introduced parameters to control tick labels and axis label font sizes.

• Plot Saving and Displaying Enhancements:

  • The code for saving and displaying plots has been refactored:
    • Saving individual plots: Can now be conditionally saved based on user input (save_individual).
    • Saving and displaying grids: Improved support for saving grids of plots as a single image and displaying them conditionally.

• Additional Enhancements:

  • Introduced new function for fitting and plotting best-fit lines in scatter plots.

3. New Functions:

• add_best_fit:
  • Description: Adds a best-fit line to a scatter plot with customizable line style and color.
  • Parameters: ax, x_data, y_data, line_style, line_color.

4. Code Structural Changes:

• Comment and Documentation Updates:

  • Improved and expanded docstrings and inline comments.
  • Added detailed explanations for new parameters and functionalities.

• Refactoring:

  • Plotting-related code was reorganized for better readability and maintainability.

5. Bug Fixes and Enhancements:

• Plotting Enhancements:

  • Improved handling of axis visibility and edge cases.
  • Enhanced plot saving mechanisms to ensure correct file naming and prevent overwriting.

• Error Handling:

  • Improved error handling and warnings related to file saving and plotting.