Debugged and Enhanced Data Visualization Pipeline

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📅 2023-11-02 — Session: Debugged and Enhanced Data Visualization Pipeline

🕒 22:45–23:00
🏷️ Labels: Python, Matplotlib, Data Visualization, Debugging, Dataframe
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to debug and enhance a data visualization pipeline using Matplotlib in Python, focusing on formatting, data generation, and error resolution.

Key Activities

  • Developed a custom function to format y-axis tick labels in Matplotlib for better readability, using abbreviations for thousands and millions.
  • Identified and corrected an error in the plot_data function related to an unsupported parameter ylims.
  • Fixed sample data generation to include a ‘grouper’ column, resolving a mismatch issue.
  • Addressed a KeyError in data grouping by verifying ‘grouper’ values and adjusting the plot_data function.
  • Resolved a persistent KeyError in DataFrame grouping by ensuring column names matched expected group keys.
  • Fixed errors in DataFrame resampling by verifying the existence of necessary columns and applying the correct resampling method.

Achievements

  • Successfully implemented a custom y-axis formatter for Matplotlib.
  • Corrected function call errors and improved data generation processes.
  • Applied correct resampling methods to DataFrames, enhancing the data analysis workflow.

Pending Tasks

  • Update the plotting code to integrate the corrected resampling within the plot_group_data function.

Graph View

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