将geojson对象的一部分组合到另一个对象中，并在Python中拆分为键值对
我有以下JSON格式的数据：将geojson对象的一部分组合到另一个对象中，并在Python中拆分为键值对,python,json,dictionary,geojson,Python,Json,Dictionary,Geojson,我有以下JSON格式的数据： data = { "type": "FeatureCollection", "name": "entities", "features": [{ "type": "Feature", "properties": { "Layer": "0", "SubClasses": "Ac
data = {
"type": "FeatureCollection",
"name": "entities",
"features": [{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbBlockReference",
"EntityHandle": "33C"
},
"geometry": {
"type": "LineString",
"coordinates": [
[128.300698763698563, 19.589569788550868],
[122.210459610233059, 19.589569886701838],
[91.721736710604787, 50.193073963419501],
[92.273710172523337, 50.74297719953902],
[84.75859656427339, 58.28638302549696],
[77.215190738315442, 50.771269417247012],
[77.767111309618613, 50.221418867368563],
[47.250149385217803, 19.589569788550868],
[44.193587348941939, 22.634667872682869],
[79.046846852783347, 57.619139235591419],
[79.046846852783347, 59.232600372409372],
[84.751660603974528, 64.916017788151933],
[90.413761870149756, 59.232600372409372],
[90.413761870149756, 57.619139235591419],
[128.300698763698563, 19.589569788550868]
]
}
},
{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbMText",
"ExtendedEntity": "ACAD_MTEXT_COLUMN_INFO_BEGIN 75 2 79 0 76 1 78 0 48 8.650739891855252 49 12.5 50 1 0.0 ACAD_MTEXT_COLUMN_INFO_END",
"EntityHandle": "33C",
"Text": "HouseID: B6G31; Area: 143"
},
"geometry": {
"type": "Point",
"coordinates": [82.573226323750248, 61.543228505735186, 0.0]
}
},
{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbBlockReference",
"EntityHandle": "33D"
},
"geometry": {
"type": "LineString",
"coordinates": [
[74.682310358766699, 53.238171737765796],
[79.046846852783347, 57.619139235591419],
[79.046846852783347, 59.232600372409372],
[81.695660487894202, 61.8913860732074],
[75.420855001691947, 68.142657499885104],
[67.600779996399069, 60.293142300223842],
[74.682310358766699, 53.238171737765796]
]
}
},
{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbMText",
"ExtendedEntity": "ACAD_MTEXT_COLUMN_INFO_BEGIN 75 2 79 0 76 1 78 0 48 8.650739891855252 49 12.5 50 1 0.0 ACAD_MTEXT_COLUMN_INFO_END",
"EntityHandle": "33D",
"Text": "HouseID: B622; Area: 31; Type: B"
},
"geometry": {
"type": "Point",
"coordinates": [72.482530938336538, 62.10442248906768, 0.0]
}
}
]
}
{
"type": "FeatureCollection",
"name": "entities",
"features": [{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbBlockReference",
"EntityHandle": "33C",
"HouseID": "B6G31",
"Area": "143"
},
"geometry": {
"type": "LineString",
"coordinates": [
[128.300698763698563, 19.589569788550868],
[122.210459610233059, 19.589569886701838],
[91.721736710604787, 50.193073963419501],
[92.273710172523337, 50.74297719953902],
[84.75859656427339, 58.28638302549696],
[77.215190738315442, 50.771269417247012],
[77.767111309618613, 50.221418867368563],
[47.250149385217803, 19.589569788550868],
[44.193587348941939, 22.634667872682869],
[79.046846852783347, 57.619139235591419],
[79.046846852783347, 59.232600372409372],
[84.751660603974528, 64.916017788151933],
[90.413761870149756, 59.232600372409372],
[90.413761870149756, 57.619139235591419],
[128.300698763698563, 19.589569788550868]
]
}
},
{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbBlockReference",
"EntityHandle": "33D",
"HouseID": "B622",
"Area": "31",
"Type": "B"
},
"geometry": {
"type": "LineString",
"coordinates": [
[74.682310358766699, 53.238171737765796],
[79.046846852783347, 57.619139235591419],
[79.046846852783347, 59.232600372409372],
[81.695660487894202, 61.8913860732074],
[75.420855001691947, 68.142657499885104],
[67.600779996399069, 60.293142300223842],
[74.682310358766699, 53.238171737765796]
]
}
}
]
}
import json
features = data["features"]
point_handle_text = {
i["properties"]["EntityHandle"]: i["properties"]["Text"]
for i in features
if i["geometry"]["type"] == "Point"
}
combine_features = []
for i in features:
if i["geometry"]["type"] == "LineString":
i["properties"]["Text"] = point_handle_text.get(i["properties"]["EntityHandle"])
combine_features.append(i)
data["features"] = combine_features
print(data)
{
'type': 'FeatureCollection',
'name': 'entities',
'features': [{
'type': 'Feature',
'properties': {
'Layer': '0',
'SubClasses': 'AcDbEntity:AcDbBlockReference',
'EntityHandle': '33C',
'Text': 'HouseID: B6G31; Area: 143'
},
'geometry': {
'type': 'LineString',
'coordinates': [
[128.30069876369856, 19.589569788550868],
[122.21045961023306, 19.589569886701838],
[91.72173671060479, 50.1930739634195],
[92.27371017252334, 50.74297719953902],
[84.75859656427339, 58.28638302549696],
[77.21519073831544, 50.77126941724701],
[77.76711130961861, 50.22141886736856],
[47.2501493852178, 19.589569788550868],
[44.19358734894194, 22.63466787268287],
[79.04684685278335, 57.61913923559142],
[79.04684685278335, 59.23260037240937],
[84.75166060397453, 64.91601778815193],
[90.41376187014976, 59.23260037240937],
[90.41376187014976, 57.61913923559142],
[128.30069876369856, 19.589569788550868]
]
}
},
{
'type': 'Feature',
'properties': {
'Layer': '0',
'SubClasses': 'AcDbEntity:AcDbBlockReference',
'EntityHandle': '33D',
'Text': 'HouseID: B622; Area: 31; Type: B'
},
'geometry': {
'type': 'LineString',
'coordinates': [
[74.6823103587667, 53.238171737765796],
[79.04684685278335, 57.61913923559142],
[79.04684685278335, 59.23260037240937],
[81.6956604878942, 61.8913860732074],
[75.42085500169195, 68.1426574998851],
[67.60077999639907, 60.29314230022384],
[74.6823103587667, 53.238171737765796]
]
}
}
]
}
是否可以用Python获得预期的输出？谢谢。我刚刚浏览了字典和列表 本质上，如果缺少文本键，则使用该EntitiyHandle并找到找到的文本值，然后将其拆分。然后，只要将其吸收到没有文本键的元素中（如果有意义的话）：
data = {
"type": "FeatureCollection",
"name": "entities",
"features": [{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbBlockReference",
"EntityHandle": "33C"
},
"geometry": {
"type": "LineString",
"coordinates": [
[128.300698763698563, 19.589569788550868],
[122.210459610233059, 19.589569886701838],
[91.721736710604787, 50.193073963419501],
[92.273710172523337, 50.74297719953902],
[84.75859656427339, 58.28638302549696],
[77.215190738315442, 50.771269417247012],
[77.767111309618613, 50.221418867368563],
[47.250149385217803, 19.589569788550868],
[44.193587348941939, 22.634667872682869],
[79.046846852783347, 57.619139235591419],
[79.046846852783347, 59.232600372409372],
[84.751660603974528, 64.916017788151933],
[90.413761870149756, 59.232600372409372],
[90.413761870149756, 57.619139235591419],
[128.300698763698563, 19.589569788550868]
]
}
},
{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbMText",
"ExtendedEntity": "ACAD_MTEXT_COLUMN_INFO_BEGIN 75 2 79 0 76 1 78 0 48 8.650739891855252 49 12.5 50 1 0.0 ACAD_MTEXT_COLUMN_INFO_END",
"EntityHandle": "33C",
"Text": "HouseID: B6G31; Area: 143"
},
"geometry": {
"type": "Point",
"coordinates": [82.573226323750248, 61.543228505735186, 0.0]
}
},
{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbBlockReference",
"EntityHandle": "33D"
},
"geometry": {
"type": "LineString",
"coordinates": [
[74.682310358766699, 53.238171737765796],
[79.046846852783347, 57.619139235591419],
[79.046846852783347, 59.232600372409372],
[81.695660487894202, 61.8913860732074],
[75.420855001691947, 68.142657499885104],
[67.600779996399069, 60.293142300223842],
[74.682310358766699, 53.238171737765796]
]
}
},
{
"type": "Feature",
"properties": {
"Layer": "0",
"SubClasses": "AcDbEntity:AcDbMText",
"ExtendedEntity": "ACAD_MTEXT_COLUMN_INFO_BEGIN 75 2 79 0 76 1 78 0 48 8.650739891855252 49 12.5 50 1 0.0 ACAD_MTEXT_COLUMN_INFO_END",
"EntityHandle": "33D",
"Text": "HouseID: B622; Area: 31; Type: B"
},
"geometry": {
"type": "Point",
"coordinates": [72.482530938336538, 62.10442248906768, 0.0]
}
}
]
}
temp_dict = {}
for each in data['features']:
entity_handle = each['properties']['EntityHandle']
if 'Text' not in each['properties']:
continue
else:
#temp_dict[entity_handle] = each['properties']['Text']
text = each['properties']['Text']
text_split = text.split(';')
temp_dict2 = {}
for item in text_split:
k,v = item.split(':')[0].strip(), item.split(':')[1].strip()
temp_dict2[k] = v
temp_dict[entity_handle] = temp_dict2
updated_data = {}
for k,v in data.items():
if type(v) == list:
updated_data[k] = []
else:
updated_data[k] = v
completed = []
for each in data['features']:
temp_dict3 = {}
entity_handle = each['properties']['EntityHandle']
if 'Text' not in each['properties']:
temp_dict3.update(each)
temp_dict3['properties'].update(temp_dict[entity_handle])
updated_data['features'].append(temp_dict3)
else:
continue
只需将json对象转换为字典，并以这种方式进行操作。在python字典中重新排列键和值是相当容易的。请问，completed=[]在代码中有什么用途？我没发现有人用过。谢谢。啊，是的。很抱歉绝对没有用的代码，你可以删除，我忘了把它拿出来。当我在测试/调试时，我就把它放在那里了。我有一个运行列表，列出了它迭代过的实体和没有迭代过的实体。我有时会这样做，而不是简单地打印，看看我的for循环是否像我预期的那样工作