osm⽂件的读取、转换及处理
osm⽂件的读取、转换及处理
三相异步电动机的基本结构本代码是对openstreetmap 中武汉市地图的osm⽂件进⾏处理，将node进⾏提取并转换为json⽂件，然后读取经纬度，寻重复的node。
import os
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from lxml import etree
import xmltodict
os.chdir('your filepath')
osmfile = 'wuhan.osm'
def iter_element(file_parsed, file_length, file_write):
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try:
for event, element in file_parsed:
current_line += 1
print (current_line/float(file_length))
elem_data = string(element)
elem_dict = xmltodict.parse(elem_data, attr_prefix="", cdata_key="")            if (element.tag == "node"):
elem_jsonStr = json.dumps(elem_dict["node"])
file_write.write(elem_jsonStr + "\n")
# 每次读取之后进⾏⼀次清空
element.clear()
previous() is not None:
parent()[0]
except:
pass
file_length = -1
for file_length, line in enumerate(open(osmfile, 'rU',encoding = 'utf-8')):
pass
file_length += 1
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print( "length of the file:\t" + str(file_length))
file_node = open(osmfile+"_node.json","w+")
file_parsed = etree.iterparse(osmfile, tag=["node"])
iter_element(file_parsed, file_length, file_node)
file_node.close()
osm_json_file = 'D:\\360Downloads\\wuhan.osm_node.json'
list1 = []
with  open(osm_json_file,encoding = 'utf-8') as f:python解析json文件
for data in f:
tulist  = []
data= json.loads(data)
lat = float(data['lat'])
tulist.append(lat)
lon = float(data['lon'])
tulist.append(lon)
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list1.append(tuple(tulist))
source = list1
from collections import defaultdict
from collections import Counter
Counter(list1)
i = 0
for k,v in Counter(list1).items():
if v == 2:
i += 1
print(k,v)
print(i)

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