Categories / python-3.x
Choosing the Right Data Type for Numbers in PostgreSQL
Using Regular Expressions for Selective Data Replacement in Pandas DataFrames
Generate Unique IDs Using Row Number() Function in DB2 SQL
Grouping by Unique Values in a List Form: A Solution Using Pandas
Understanding the Implications of Autocommit with pyodbc and Its Best Practices for Reliable Database Transactions
Optimizing Tire Mileage Calculations Using np.where and GroupBy
Resolving Pandas Installation Issues in Python 3.x with pip
Working with Time Series Data: Averaging Values During Specific Time Periods Using Python and Pandas for Efficient Time Series Analysis and Data Processing.
Using TQDM with Map for DataFrames in Pandas: A Comprehensive Guide to Improving Code Readability and Performance.
Based on your detailed breakdown, here's a revised version of the code that incorporates all the steps: