π 2023-05-10 β Session: Enhanced DataFrame Visualization and ID Harmonization
π 06:10β06:25
π·οΈ Labels: Pandas, Data Visualization, Data Cleaning, Python
π Project: Dev
β Priority: MEDIUM
Session Goal
The session aimed to enhance data visualization using pandas and improve data quality by harmonizing ID formats in a DataFrame.
Key Activities
- Implemented pandas styling to create a bar chart in the βvotos_cantidadβ column of a DataFrame, utilizing a function to set color and width based on values.
- Developed a Python function to standardize
agrupacion_id
values by converting them to strings, removing decimal points, and padding with zeros. - Addressed potential errors in data processing, including handling
ValueError
andTypeError
during integer conversion and managing NaN values effectively.
Achievements
- Successfully applied pandas styling to visualize data with bar charts, enhancing the readability of the DataFrame.
- Created robust error-handling mechanisms for data conversion processes, ensuring the integrity and consistency of ID formats.
Pending Tasks
- Further testing and validation of the harmonization function across diverse datasets to ensure comprehensive error handling and formatting.