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Trailing commas in CSVs are now treated as empty fields.

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Empty fields are now treated as empty strings rather than nulls
in tippecanoe-json-tool, for consistency with tile-join.
This commit is contained in:
Eric Fischer
2018-05-24 13:54:00 -07:00
parent 32b3a15406
commit 54532795f6
10 changed files with 35 additions and 25 deletions
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tests/csv/ne_110m_populated_places_simple.csv
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@@ -239,10 +239,10 @@ scalerank,natscale,labelrank,featurecla,name,namepar,namealt,diffascii,nameascii
0,600,1,Admin-1 capital,Kolkata,Calcutta,,0,Kolkata,0.00000000000,,,0.00000000000,1,India,IND,India,IND,West Bengal,IN,,22.49496929830,88.32467565810,4.00000000000,1,Name changed. Changed scale rank.,14787000,4631392,7783716,14,12,1275004.00000000000,Kolkata,Calcutta,1,0,3.7
0,600,1,Admin-1 capital,Rio de Janeiro,,,0,Rio de Janeiro,0.00000000000,,,1.00000000000,1,Brazil,BRA,Brazil,BRA,Rio de Janeiro,BR,,-22.92502317420,-43.22502079420,0.00000000000,0,,11748000,2010175,1821489,14,12,3451190.00000000000,Rio de Janeiro,Rio de Janeiro,1,0,1.7
0,600,1,Admin-1 capital,São Paulo,,Sao Paulo|Sio Paulo,0,Sao Paulo,0.00000000000,,,1.00000000000,1,Brazil,BRA,Brazil,BRA,São Paulo,BR,,-23.55867958700,-46.62501998040,0.00000000000,0,,18845000,10021295,11522944,14,14,3448439.00000000000,S,Sao Paolo,1,0,3.0
0,600,3,Admin-1 capital,Sydney,,,0,Sydney,0.00000000000,,,1.00000000000,1,Australia,AUS,Australia,AUS,New South Wales,AU,,-33.92001096720,151.18517980900,4.00000000000,0,Changed feature class.,4630000,3641422,2669348,12,12,2147714.00000000000,Sydney,Sydney1,1,0,1.7
0,600,3,Admin-1 capital,Sydney,,,0,Sydney,0.00000000000,,,1.00000000000,1,Australia,AUS,Australia,AUS,New South Wales,AU,,-33.92001096720,151.18517980900,4.00000000000,0,Changed feature class.,4630000,3641422,2669348,12,12,2147714.00000000000,Sydney,Sydney1,1,0,
0,600,0,Admin-0 capital,Singapore,,,0,Singapore,1.00000000000,,,1.00000000000,1,Singapore,SGP,Singapore,SGP,,SG,,1.29303346649,103.85582067800,0.00000000000,0,,5183700,3289529,3314179,13,12,1880252.00000000000,Singapore,Singapore,1,5,2.1
0,600,0,Admin-0 region capital,Hong Kong,,,0,Hong Kong,0.00000000000,,,1.00000000000,1,China,CHN,Hong Kong S.A.R.,HKG,,HK,,22.30498089500,114.18500931700,0.00000000000,0,,7206000,4551579,4549026,13,12,1819729.00000000000,Hong Kong,Hong Kong,1,0,3.0
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
0,600,0,Admin-0 region capital,Hong Kong,,,0,Hong Kong,0.00000000000,,,1.00000000000,1,China,CHN,Hong Kong S.A.R.,HKG,,HK,,nan,114.18500931700,0.00000000000,0,,7206000,4551579,4549026,13,12,1819729.00000000000,Hong Kong,Hong Kong,1,0,3.0
0,600,0,Admin-0 region capital,Hong Kong,,,0,Hong Kong,0.00000000000,,,1.00000000000,1,China,CHN,Hong Kong S.A.R.,HKG,,HK,,inf,114.18500931700,0.00000000000,0,,7206000,4551579,4549026,13,12,1819729.00000000000,Hong Kong,Hong Kong,1,0,3.0
0,600,0,Admin-0 region capital,Hong Kong,,,0,Hong Kong,0.00000000000,,,1.00000000000,1,China,CHN,Hong Kong S.A.R.,HKG,,HK,,22.30498089500,nan,0.00000000000,0,,7206000,4551579,4549026,13,12,1819729.00000000000,Hong Kong,Hong Kong,1,0,3.0
1 scalerank natscale labelrank featurecla name namepar namealt diffascii nameascii adm0cap capalt capin worldcity megacity sov0name sov_a3 adm0name adm0_a3 adm1name iso_a2 note latitude longitude changed namediff diffnote pop_max pop_min pop_other rank_max rank_min geonameid meganame ls_name ls_match checkme min_zoom
239 0 600 1 Admin-1 capital Kolkata Calcutta 0 Kolkata 0.00000000000 0.00000000000 1 India IND India IND West Bengal IN 22.49496929830 88.32467565810 4.00000000000 1 Name changed. Changed scale rank. 14787000 4631392 7783716 14 12 1275004.00000000000 Kolkata Calcutta 1 0 3.7
240 0 600 1 Admin-1 capital Rio de Janeiro 0 Rio de Janeiro 0.00000000000 1.00000000000 1 Brazil BRA Brazil BRA Rio de Janeiro BR -22.92502317420 -43.22502079420 0.00000000000 0 11748000 2010175 1821489 14 12 3451190.00000000000 Rio de Janeiro Rio de Janeiro 1 0 1.7
241 0 600 1 Admin-1 capital São Paulo Sao Paulo|Sio Paulo 0 Sao Paulo 0.00000000000 1.00000000000 1 Brazil BRA Brazil BRA São Paulo BR -23.55867958700 -46.62501998040 0.00000000000 0 18845000 10021295 11522944 14 14 3448439.00000000000 S Sao Paolo 1 0 3.0
242 0 600 3 Admin-1 capital Sydney 0 Sydney 0.00000000000 1.00000000000 1 Australia AUS Australia AUS New South Wales AU -33.92001096720 151.18517980900 4.00000000000 0 Changed feature class. 4630000 3641422 2669348 12 12 2147714.00000000000 Sydney Sydney1 1 0 1.7
243 0 600 0 Admin-0 capital Singapore 0 Singapore 1.00000000000 1.00000000000 1 Singapore SGP Singapore SGP SG 1.29303346649 103.85582067800 0.00000000000 0 5183700 3289529 3314179 13 12 1880252.00000000000 Singapore Singapore 1 5 2.1
244 0 600 0 Admin-0 region capital Hong Kong 0 Hong Kong 0.00000000000 1.00000000000 1 China CHN Hong Kong S.A.R. HKG HK 22.30498089500 114.18500931700 0.00000000000 0 7206000 4551579 4549026 13 12 1819729.00000000000 Hong Kong Hong Kong 1 0 3.0
245
246 0 600 0 Admin-0 region capital Hong Kong 0 Hong Kong 0.00000000000 1.00000000000 1 China CHN Hong Kong S.A.R. HKG HK nan 114.18500931700 0.00000000000 0 7206000 4551579 4549026 13 12 1819729.00000000000 Hong Kong Hong Kong 1 0 3.0
247 0 600 0 Admin-0 region capital Hong Kong 0 Hong Kong 0.00000000000 1.00000000000 1 China CHN Hong Kong S.A.R. HKG HK inf 114.18500931700 0.00000000000 0 7206000 4551579 4549026 13 12 1819729.00000000000 Hong Kong Hong Kong 1 0 3.0
248 0 600 0 Admin-0 region capital Hong Kong 0 Hong Kong 0.00000000000 1.00000000000 1 China CHN Hong Kong S.A.R. HKG HK 22.30498089500 nan 0.00000000000 0 7206000 4551579 4549026 13 12 1819729.00000000000 Hong Kong Hong Kong 1 0 3.0
tests/csv/out.mbtiles.json
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