Enhanced DataFrame Visualization and Data Cleaning Functions

• Day: 2023-05-10
• Time: 06:10 to 06:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Pandas, Data Visualization, Data Cleaning, Python, Error Handling

Description

Session Goal

The goal of this session was to enhance the visualization capabilities of pandas DataFrames and improve data cleaning functions for handling IDs.

Key Activities

• Implemented pandas styling for bar charts in the votos_cantidad column, including setting color and width based on values.
• Developed a Python function to harmonize agrupacion_id values by converting them to strings, removing decimal points, and padding with zeros.
• Addressed ValueError in integer conversion with a try-except block and handled NaN values appropriately.
• Fixed a type error in the harmonize_agrupacion_id function by ensuring proper data type conversion and handling of NaN values.

Achievements

• Successfully created a styled bar chart in a pandas DataFrame.
• Developed robust functions for data cleaning and transformation, ensuring consistent formatting of IDs.

Pending Tasks

• Further testing of the harmonization function with diverse datasets to ensure reliability across different data scenarios.

Evidence

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• event_ids: []