This guide explains how to combine a master XLS file with a detailed XLSX file by matching the "Name" column, handling non‑standard headers, skipping index columns, inserting new fields at a specific position, and exporting the merged result using Python, pandas, xlrd, and openpyxl.
This tutorial provides a detailed overview of Pandas, covering its core data structures, data import/export, selection, cleaning, aggregation, merging, and a practical sales analysis example, with complete code snippets for each operation.
This tutorial demonstrates how to use Python and pandas to read CSV and Excel files, merge them on a key column, and export the combined result, offering a faster, more reliable alternative to Excel's VLOOKUP for large datasets.
Xianyu achieves second‑level real‑time search ranking adjustments by using Alibaba Cloud HybridDB for PostgreSQL to normalize heterogeneous data into JSONB, merge attributes with timestamp‑based logic, and trigger PostgreSQL NOTIFY events that instantly recalculate scores, boosting transaction volume by ~30% and feedback by ~28%.
