nidextractor = NIDExtractor(NID) # extract the data to a new shapefile nidextractor.extract_shapefile(sfile, damfile) # the extractor can also extract data to a new shapefile using a bounding box bbox = -78, 38, -75, 40 # output file name bboxfile = 'bbox' nidextractor.extract_bbox(bbox, bboxfile) # let's use pyshp to open up the patuxent shapefile and get some info about the # dams that we downloaded from shapefile import Reader sf = Reader(damfile) # these are the attributes of each dam stored in the NID name_index = sf.fields.index(['DAM_NAME', 'C', 65, 0]) - 1 nid_index = sf.fields.index(['NIDID', 'C', 7, 0]) - 1 lon_index = sf.fields.index(['LONGITUDE', 'N', 19, 11]) - 1 lat_index = sf.fields.index(['LATITUDE', 'N', 19, 11]) - 1 river_index = sf.fields.index(['RIVER', 'C', 65, 0]) - 1
nidextractor = NIDExtractor(NID) # extract the data to a new shapefile nidextractor.extract_shapefile(sfile, damfile) # the extractor can also extract data to a new shapefile using a bounding box bbox = -78, 38, -75, 40 # output file name bboxfile = 'bbox' nidextractor.extract_bbox(bbox, bboxfile) # let's use pyshp to open up the patuxent shapefile and get some info about the # dams that we downloaded from shapefile import Reader sf = Reader(damfile) # these are the attributes of each dam stored in the NID name_index = sf.fields.index(['DAM_NAME', 'C', 65, 0]) - 1 nid_index = sf.fields.index(['NIDID', 'C', 7, 0]) - 1 lon_index = sf.fields.index(['LONGITUDE', 'N', 19, 11]) - 1 lat_index = sf.fields.index(['LATITUDE', 'N', 19, 11]) - 1 river_index = sf.fields.index(['RIVER', 'C', 65, 0]) - 1
