📅 2025-03-02 — Session: Resolved DataFrame KeyErrors and JSON Parsing Issues
🕒 15:20–16:30
🏷️ Labels: Dataframe, JSON, Pandas, AI, Content Creation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to address various data processing issues, particularly focusing on resolving KeyErrors and JSON parsing problems within Pandas DataFrames.
Key Activities:
- Developed a framework for structuring AI-driven content creation, which involves stages from data extraction to content strategy.
- Finalized session continuity steps, ensuring proper documentation and planning for future tasks.
- Implemented refinements in AI-generated blog structures, focusing on data concatenation and export functionality.
- Addressed KeyErrors in DataFrames by expanding nested dictionaries using
pd.json_normalize()and manually extracting fields. - Resolved JSONDecodeError by checking data types, applying selective JSON conversion, and manually extracting fields when necessary.
- Ensured safe JSON parsing by replacing single quotes with double quotes for compatibility with
json.loads().
Achievements:
- Successfully resolved KeyErrors and JSON parsing issues, improving data integrity and processing efficiency.
- Established a structured approach for AI-driven content creation and session management.
Pending Tasks: