ADIF - utility tools for the Amateur Data Interchange Format
__init__(self)
Prepare df_all DataFrame which has all of ADIF field table data.
If ADIFfields.csv is existing, df_all is restore from ADIFfields.csv. Othewise fetching web scaping data from adif.org and set df_all.
fetch_fields(self)
Fetching ADIF field data from ADIF V3.1.4 specification in adif.org.
All of table data will be saved pd.DataFrame, df_all.
get_all_fields(self) -> pd.DataFrame
Returns df_all as pd.DataFrame.
get_fields(self) -> pd.Series
Returns df_all['Field Name'] as pd.Series.
get_field_list(self) -> list
Returns df_all['Field Name'] as 1D list.
get_table_index(cls) -> list
Returns list of index list.
TABLE_INDEX = ['Field Name', 'Data Type', 'Enumeration', 'Description']
save_all_fields(self, csvfilepath=OUT_FILENAME)
Save df_all to csv
save_fields(self, csvfilepath=OUT_FILENAME_FIELD_ONLY)
Save df_all to csv, only Field Name part only.
print_all(self)
Just print df_all on console.
Translate ADIF file (*.adi) to pandas.DataFrame.
Example of output DataFrame
CALL MODE BAND FREQ GRIDSQUARE QSO_DATE TIME_ON QSO_DATE_OFF TIME_OFF RST_RCVD RST_SENT STATION_CALLSIGN MY_GRIDSQUARE COMMENT SUBMODE EQSL_QSL_SENT
0 JA4### FT8 40m 7.043701 N/A 20210206 050800 20210206 050859 -12 -07 JS2IIU PM85kg FT8 Sent: -07 Rcvd: -12 N/A N/A
1 JH7### FT8 40m 7.043701 QM08 20210206 051415 20210206 051514 -10 -18 JS2IIU PM85kg FT8 Sent: -18 Rcvd: -10 N/A N/A
2 JH7### FT8 40m 7.043701 QM09 20210206 051545 20210206 051644 -09 -10 JS2IIU PM85kg FT8 Sent: -10 Rcvd: -09 N/A N/A
3 JH7### FT8 40m 7.043798 QM08 20210206 052245 20210206 052414 -18 -15 JS2IIU PM85kg FT8 Sent: -15 Rcvd: -18 N/A N/A
4 JH8### FT8 40m 7.043798 QN02 20210206 053645 20210206 053744 -12 -06 JS2IIU PM85kg FT8 Sent: -06 Rcvd: -12 N/A N/A
Show ADIF data on GUI, tkinter treeview widget. This sample reads csv file converted from original ADIF (*.adi) file by adif_to_dataframe.py module.
- ADIF files cannot be read by this application in their entirety. Therefore, *.adi files must be read in with adif_to_dataframe.py and converted to csv format.
- Specify the path to the csv file to be read in the variable sample_csv in adif_to_dataframe.py.
- The application is just listed in Treeview. Other functions will be developed in the future.
- unspecified-encoding / W1514 - Pylint 3.1.0-dev0 documentation
- Pythonの正規表現モジュールreの使い方（match, search, subなど） | note.nkmk.me
- pandas 辞書型からDataFrameを生成｜インデックスとコラムの設定も！ - YutaKaのPython教室
- pandasで任意の位置の値を取得・変更するat, iat, loc, iloc | note.nkmk.me
- consider-using-with / R1732 - Pylint 3.1.0-dev0 documentation
- Pythonのf文字列（フォーマット済み文字列リテラル）の使い方 | note.nkmk.me