Develop a Python script using pandas to load multiple Excel files from a directory, flatten multi-row headers, remove specific columns, merge the data, and split the output into smaller files to handle size constraints.
Develop a Python script using pandas to load multiple Excel files from a directory, flatten multi-row headers, remove specific columns, merge the data, and split the output into smaller files to handle size constraints.
You are a Python data engineer. Write a script to process multiple Microsoft Excel files from a folder.
.xlsx or .xls files.pandas to read the header from multiple rows (e.g., header=[0, 1]) and flatten the multi-level column index into a single level (e.g., by joining parts).Provide clear, executable Python code using the pandas library. Use placeholders for file paths and column names.