Python getcolumnindex示例

示例#1

文件： processbike.py 项目： LemonPi/Pathtreker

import picklegraph
import shapefile
import loadgraph

bi_sh = shapefile.Reader("bikeways/CENTRELINE_BIKEWAY_OD_WGS84")
fnode_index = loadgraph.getcolumnindex(bi_sh, "FNODE")
tnode_index = loadgraph.getcolumnindex(bi_sh, "TNODE")
cp_type_index = loadgraph.getcolumnindex(bi_sh, "CP_TYPE")
BIKE_FRIENDLY_SCALE_FACTOR = 0.5


def buildgraph():
    graph = picklegraph.load()
    i = 0
    for record in bi_sh.iterRecords():
        fnode = record[fnode_index]
        tnode = record[tnode_index]
        cp_type = record[cp_type_index]
        if cp_type == None or len(cp_type) == 0 or cp_type[0] == 0x20:
            continue
        if fnode in graph and tnode in graph[fnode]:
            i += 1
            graph[fnode][tnode]["length"] *= BIKE_FRIENDLY_SCALE_FACTOR
    print("changed", i, "lengths")
    return graph

示例#2

文件： loadaddress.py 项目： LemonPi/Pathtreker

import loadgraph
import shapefile

address_sf = shapefile.Reader("address/ADDRESS_POINT_WGS84")

address_index = loadgraph.getcolumnindex(address_sf, "ADDRESS")
lfname_index = loadgraph.getcolumnindex(address_sf, "LFNAME")
arc_side_index = loadgraph.getcolumnindex(address_sf, "ARC_SIDE")
distance_index = loadgraph.getcolumnindex(address_sf, "DISTANCE")
lon_index = loadgraph.getcolumnindex(address_sf, "LONGITUDE")
lat_index = loadgraph.getcolumnindex(address_sf, "LATITUDE")

link_index = loadgraph.getcolumnindex(address_sf, "LINK")

def buildaddress():
	addresses = {}
	for record in address_sf.iterRecords():
		address = record[address_index]
		lfname = record[lfname_index]
		arc_side = record[arc_side_index]
		distance = record[distance_index]
		link = record[link_index]
		a = {
			"name": address + " " + lfname,
			"street": link,
			"side": arc_side,
			"dist": distance,
			"lon": record[lon_index],
			"lat": record[lat_index]
		}
		addresses[a["name"]] = a

示例#3

文件： processbike.py 项目： Lytrix/Pathtreker

import picklegraph
import shapefile
import loadgraph
bi_sh = shapefile.Reader("bikeways/CENTRELINE_BIKEWAY_OD_WGS84")
fnode_index = loadgraph.getcolumnindex(bi_sh, "FNODE")
tnode_index = loadgraph.getcolumnindex(bi_sh, "TNODE")
cp_type_index = loadgraph.getcolumnindex(bi_sh, "CP_TYPE")
BIKE_FRIENDLY_SCALE_FACTOR = 0.5


def buildgraph():
    graph = picklegraph.load()
    i = 0
    for record in bi_sh.iterRecords():
        fnode = record[fnode_index]
        tnode = record[tnode_index]
        cp_type = record[cp_type_index]
        if cp_type == None or len(cp_type) == 0 or cp_type[0] == 0x20:
            continue
        if fnode in graph and tnode in graph[fnode]:
            i += 1
            graph[fnode][tnode]["length"] *= BIKE_FRIENDLY_SCALE_FACTOR
    print("changed", i, "lengths")
    return graph

示例#4

文件： loadaddress.py 项目： Lytrix/Pathtreker

import loadgraph
import shapefile

address_sf = shapefile.Reader("address/ADDRESS_POINT_WGS84")

address_index = loadgraph.getcolumnindex(address_sf, "ADDRESS")
lfname_index = loadgraph.getcolumnindex(address_sf, "LFNAME")
arc_side_index = loadgraph.getcolumnindex(address_sf, "ARC_SIDE")
distance_index = loadgraph.getcolumnindex(address_sf, "DISTANCE")
lon_index = loadgraph.getcolumnindex(address_sf, "LONGITUDE")
lat_index = loadgraph.getcolumnindex(address_sf, "LATITUDE")

link_index = loadgraph.getcolumnindex(address_sf, "LINK")


def buildaddress():
    addresses = {}
    for record in address_sf.iterRecords():
        address = record[address_index]
        lfname = record[lfname_index]
        arc_side = record[arc_side_index]
        distance = record[distance_index]
        link = record[link_index]
        a = {
            "name": address + " " + lfname,
            "street": link,
            "side": arc_side,
            "dist": distance,
            "lon": record[lon_index],
            "lat": record[lat_index]
        }