Enhanced DataFrame Time Manipulation with Pandas

1 min read

📅 2023-06-29 — Session: Enhanced DataFrame Time Manipulation with Pandas

🕒 19:05–19:30
🏷️ Labels: Python, Pandas, Dataframe, Time Manipulation, JSON
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the manipulation of time-related data within Pandas DataFrames, focusing on processing JSON files containing location visit data.

Key Activities

  • Processed JSON files to extract and separate timestamps into date and hour components using Pandas.
  • Corrected the pd.to_datetime function usage for ISO 8601 formats.
  • Calculated durations in hours and minutes using dt.total_seconds() and divmod() functions.
  • Added a new duration column to DataFrames and converted these durations into hexadecimal format.
  • Formatted time in DataFrames using strftime() for both decimal and hexadecimal hours.
  • Adjusted time zones from GMT+0 to GMT-3 in DataFrames.
  • Extracted weekdays in Spanish from date columns using mapping and dt.strftime().
  • Generated phrases from DataFrame rows based on column values.

Achievements

  • Successfully implemented various time manipulation techniques in Pandas, enhancing the ability to process and analyze time-based data effectively.

Pending Tasks

  • Further exploration of localization techniques for additional languages.
  • Optimization of time conversion processes for performance improvements.

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