: After importing, you may need to use Excel's Power Query (Data > Get Data) to remove headers and footers that were part of the original report layout.
import camelot import pandas as pd
Since most QRP logging software (like HamLog or POTA73 ) exports to ADIF, using a dedicated converter is the easiest route. qrp to excel converter
tables = camelot.read_pdf('report.pdf', pages='all', flavor='lattice') # or 'stream' # combine tables dfs = [t.df for t in tables] full = pd.concat(dfs, ignore_index=True) # cleanup full = full.dropna(how='all') full.to_excel('report.xlsx', index=False, sheet_name='Report') : After importing, you may need to use
If you have data trapped in this format, converting it to an Excel spreadsheet (XLS or XLSX) is the best way to regain control of your information for analysis and reporting. Why You Need a QRP to Excel Converter Why You Need a QRP to Excel Converter
How converters work (typical approaches)
