Example of renaming columns using a 'mappings' dictionary which is dynamically built from a 'mapping' table from within an Excel sheet.

rename_cols.py

data = pd.read_csv(mappings['Filepath'])

# lowercase and strip whitespace from all column headers
data.rename({col: col.strip().lower() for col in data.columns},
            axis=1, inplace=True)

# we must also do the same for inv_mappings
# also add snake_case formatting to internal columns (optional)
inv_mappings = {
    mappings[key].strip().lower():
        key.strip().lower().replace(' ', '_')
    for key in mappings
}

# and now we can safely rename input data columns
data.rename(inv_mappings, axis=1, inplace=True)