Enhanced DataFrame manipulation with Pandas

• Day: 2023-06-29
• Time: 19:05 to 19:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Pandas, Data Processing, Time Calculation, Dataframe

Description

Session Goal

The session aimed to enhance data manipulation techniques using Pandas in Python, focusing on processing JSON files and performing various time calculations and transformations.

Key Activities

• Developed a Python script to process JSON files containing location visit data, extracting relevant information and separating timestamps into date and hour components.
• Corrected the use of pd.to_datetime for ISO 8601 format in JSON data.
• Calculated durations in hours and minutes using Pandas and Python’s divmod() function, adding these as new columns to DataFrames.
• Converted decimal hours to hexadecimal using Python’s hex() function.
• Formatted time in DataFrames and adjusted time zones from GMT+0 to GMT-3.
• Extracted weekdays from dates in Spanish and mapped them using a dictionary.
• Generated phrases from DataFrame rows based on date and time formatting.

Achievements

• Successfully implemented multiple data manipulation techniques in Pandas, enhancing the ability to handle and transform time-related data in DataFrames.

Pending Tasks

• Further exploration of advanced time manipulation techniques and their applications in different data contexts.

Evidence

• source_file=2023-06-29.sessions.jsonl, line_number=1, event_count=0, session_id=f5b8f3a3a94c725949a4f8540e0e57f46ee5f43f68c91e97ca0e103c3cdda653
• event_ids: []