Enhanced DataFrame manipulation with Pandas

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📅 2023-07-30 — Session: Enhanced DataFrame manipulation with Pandas

🕒 09:00–10:45
🏷️ Labels: Pandas, Dataframe, Python, Disk Management, Linux
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to enhance skills in manipulating and analyzing data using Pandas, a powerful data manipulation library in Python.

Key Activities

  • Disk Management: Initial steps involved checking disk usage and freeing up space on the home partition using Linux command line utilities (df, du, rm).
  • DataFrame Filtering: Implemented Python code to filter DataFrames from multiple CSV files using Pandas.
  • Data Analysis: Used groupby and nlargest to select top N rows from grouped data.
  • DataFrame Manipulation: Created new columns based on conditions, replaced values using mask, and handled exact string replacements with str.replace and str.strip.
  • Error Resolution: Addressed the SpecificationError in Pandas by using multiple agg statements.

Achievements

  • Successfully freed up disk space on the home partition.
  • Enhanced data filtering and manipulation techniques using Pandas.
  • Resolved common errors and improved data cleaning processes.

Pending Tasks

  • Further exploration of advanced aggregation techniques in Pandas.
  • Optimization of disk space management strategies.

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