Package: adif-io
This is an ADIF parser in Python.Actual usageMain result of parsing: List of QSOs:Each QSO is represented by one Python dict.Keys in that dict are ADIF field names in upper case,value for a key is whatever was found in the ADIF, as a string.Order of QSOs in the list is same as in ADIF file.Secondary result of parsing: The ADIF headers. This is returned as a Python dict.Normally, you'd calladif_io.read_from_file(filename).  But you can
also provide a string with an ADI-file's content, as follows:import adif_io

qsos, header =  adif_io.read_from_string(
    "A sample ADIF content for demonstration.\n"
    "<adif_ver:5>3.1.0<eoh>\n"
    
    "<QSO_DATE:8>20190714 <TIME_ON:4>1140<CALL:5>LY0HQ"
    "<MODE:2>CW<BAND:3>40M<RST_SENT:3>599<RST_RCVD:3>599"
    "<STX_STRING:2>28<SRX_STRING:4>LRMD<EOR>\n"

    "<QSO_DATE:8>20190714<TIME_ON:4>1130<CALL:5>SE9HQ<MODE:2>CW<FREQ:1>7"
    "<BAND:3>40M<RST_SENT:3>599<RST_RCVD:3>599"
    "<SRX_STRING:3>SSA<DXCC:3>284<EOR>")

print("QSOs: {}\nADIF Header: {}".format(qsos, header))This will print outQSOs: [{'RST_SENT': '599', 'CALL': 'LY0HQ', 'MODE': 'CW', 'RST_RCVD': '599', 'QSO_DATE': '20190714', 'TIME_ON': '1140', 'BAND': '40M', 'STX_STRING': '28', 'SRX_STRING': 'LRMD'}, {'DXCC': '284', 'RST_SENT': '599', 'CALL': 'SE9HQ', 'MODE': 'CW', 'RST_RCVD': '599', 'BAND': '40M', 'FREQ': '7', 'QSO_DATE': '20190714', 'TIME_ON': '1130', 'SRX_STRING': 'SSA'}]ADIF Header: {'ADIF_VER': '3.1.0'}Time on and time offGiven oneqsodict, you can also have the QSO's start time calculated as a Pythondatetime.datetimevalue:adif_io.time_on(qsos[0])If your QSO data also includesTIME_OFFfields (and, ideally, though
not required,QSO_DATE_OFF), this will also work:adif_io.time_off(qsos[0])Geographic coordinates - to some degreeADIF uses a somewhat peculiar 11 characterXDDD MM.MMMformat to
code geographic coordinates (fieldsLATorLON).  The more common
format these days are simple floats that code degrees.  You can convert
from one to the other:adif_io.degrees_from_location("N052 26.592") # Result: 52.4432
adif_io.location_from_degrees(52.4432, True) # Result: "N052 26.592"The additionalboolargument oflocation_from_degreesshould beTruefor latitudes (N / S) andFalsefor longitudes (E / W).ADIF versionThere is little ADIF-version-specific here.  (Everything should work
with ADI-files of ADIF version 3.1.3, if you want to nail it.)Not supported: ADIF data types.This parser knows nothing about ADIF data types or enumerations.
Everything is a string. So in that sense, this parser is fairly simple.But it does correcly handle things like:<notes:66>In this QSO, we discussed ADIF and in particular the <eor> marker.So, in that sense, this parser issomewhatsophisticated.Only ADI.This parser only handles ADI files. It knows nothing of the ADX file format.For now: input onlyThere may be an ADIF output facility some time later.Sample codeHere is some sample code:import adif_io

qsos_raw, adif_header = adif_io.read_from_file("log.adi")

# The QSOs are probably sorted by QSO time already, but make sure:
for qso in qsos_raw:
    qso["t"] = adif_io.time_on(qso)
qsos_raw_sorted = sorted(qsos_raw, key = lambda qso: qso["t"])Pandas / Jupyter users may want to addimport pandas as pdup above and continue like this:qsos = pd.DataFrame(qsos_raw_sorted)
qsos.info()