Extended DataFrame for Future Projections

• Day: 2023-09-23
• Time: 18:35 to 18:40
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data Analysis, Dataframe, Projection, Python, Pandas

Description

Session Goal

The session aimed to project future values in a DataFrame by calculating the mean of a specified column and extending the DataFrame for future analysis.

Key Activities

• Developed a systematic approach for projecting future values in a DataFrame based on the mean calculation of the ‘Monto_hoy’ column.
• Outlined the process for extending the DataFrame for six months using the calculated mean and a specified factor.
• Discussed the need for merging the extended DataFrame with a CPI DataFrame to obtain index values for accurate projections.
• Provided step-by-step Python code for extending the DataFrame’s time period, merging with CPI data, and performing necessary data manipulations using Pandas.
• Corrected the Python code by replacing deprecated methods with current best practices.

Achievements

• Successfully outlined and implemented a method for projecting future values in a DataFrame.
• Developed and corrected Python code for extending and merging DataFrames using Pandas.

Pending Tasks

• Obtain the CPI DataFrame to complete the merging process and finalize the future projections.

Evidence

• source_file=2023-09-23.sessions.jsonl, line_number=2, event_count=0, session_id=d9de5babc458b6ba1def4eb885f72869473afe7e5734ee6c37fcb9e7906fd38c
• event_ids: []