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Providing accurate JSON and Python dicts about the many public information available about MNO
Hi there,
using "python parse_wikipedia_tables.py -j -p" I run into following issue:
[+] parsed 4 MNC entries for MCC 746
[+] parsed 5 MNC entries for MCC 748
[+] parsed 5 MNC entries for MCC 734
[+] 2798 MCC MNC entries for 2758 unique MCC MNC
duplicate borders entry for France
duplicate borders entry for United Kingdom
[+] raw/wikip_iso3166.json file generated
[+] raw/wikip_mcc.json file generated
[+] raw/wikip_mnc.json file generated
[+] raw/wikip_msisdn.json file generated
[+] raw/wikip_country.json file generated
[+] raw/wikip_territory.json file generated
[+] raw/wikip_borders.json file generated
[+] raw/wikip_iso3166.py file generated
Traceback (most recent call last):
File "parse_wikipedia_tables.py", line 705, in
sys.exit(main())
File "parse_wikipedia_tables.py", line 694, in main
generate_python(L_mcc, PATH_PRE + 'wikip_mcc.py', [URL_MCC], URL_LICENSE)
File "parse_wikipedia_tables.py", line 667, in generate_python
fd.write('%s = \\n%s\n' % (varname, pp.pformat(d)))
File "C:\Users...\anaconda3\lib\encodings\cp1252.py", line 19, in encode
return codecs.charmap_encode(input,self.errors,encoding_table)[0]
UnicodeEncodeError: 'charmap' codec can't encode character '\u010c' in position 5088: character maps to
Any idea? Thanks.
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