Closed boshek closed 2 years ago
Actually this isn't as simple as I thought. Out of the box, the method doesn't respect previous select
steps:
R> library(bcdata)
R> bcdc_query_geodata('2af1388e-d5f7-46dc-a6e2-f85415ddbd1c') %>%
names()
[1] "id" "LINEAR_FEATURE_ID" "WATERSHED_GROUP_ID" "EDGE_TYPE"
[5] "WATERBODY_KEY" "BLUE_LINE_KEY" "WATERSHED_KEY" "FWA_WATERSHED_CODE"
[9] "LOCAL_WATERSHED_CODE" "WATERSHED_GROUP_CODE" "DOWNSTREAM_ROUTE_MEASURE" "LENGTH_METRE"
[13] "FEATURE_SOURCE" "FEATURE_CODE" "GEOMETRY" "OBJECTID"
[17] "SE_ANNO_CAD_DATA" "FEATURE_LENGTH_M"
R>
R> bcdc_query_geodata('2af1388e-d5f7-46dc-a6e2-f85415ddbd1c') %>%
select(EDGE_TYPE) %>%
names()
[1] "id" "LINEAR_FEATURE_ID" "WATERSHED_GROUP_ID" "EDGE_TYPE"
[5] "WATERBODY_KEY" "BLUE_LINE_KEY" "WATERSHED_KEY" "FWA_WATERSHED_CODE"
[9] "LOCAL_WATERSHED_CODE" "WATERSHED_GROUP_CODE" "DOWNSTREAM_ROUTE_MEASURE" "LENGTH_METRE"
[13] "FEATURE_SOURCE" "FEATURE_CODE" "GEOMETRY" "OBJECTID"
[17] "SE_ANNO_CAD_DATA" "FEATURE_LENGTH_M"
@boshek I love the idea!
This works now:
R> bcdc_query_geodata('2af1388e-d5f7-46dc-a6e2-f85415ddbd1c') %>%
names()
[1] "id" "LINEAR_FEATURE_ID" "WATERSHED_GROUP_ID"
[4] "EDGE_TYPE" "WATERBODY_KEY" "BLUE_LINE_KEY"
[7] "WATERSHED_KEY" "FWA_WATERSHED_CODE" "LOCAL_WATERSHED_CODE"
[10] "WATERSHED_GROUP_CODE" "DOWNSTREAM_ROUTE_MEASURE" "LENGTH_METRE"
[13] "FEATURE_SOURCE" "FEATURE_CODE" "OBJECTID"
[16] "SE_ANNO_CAD_DATA" "FEATURE_LENGTH_M" "geometry"
R> bcdc_query_geodata('2af1388e-d5f7-46dc-a6e2-f85415ddbd1c') %>%
select(EDGE_TYPE) %>%
names()
[1] "id" "LINEAR_FEATURE_ID" "WATERSHED_GROUP_ID" "EDGE_TYPE"
[5] "WATERSHED_GROUP_CODE" "LENGTH_METRE" "FEATURE_SOURCE" "FEATURE_CODE"
[9] "OBJECTID" "geometry"
@ateucher - I don't think these failures are related to this PR.
Add
names
method to extract column names easily.@ateucher if you think this is a good idea, I'll add some tests.