Python Simplekml 如果文件夹已经存在，将文件夹内的数据附加为地标标签

Question

我有关于 SimpleKML 的问题。如何在具有相同名称标签的文件夹中创建（追加）地标？意思是在一个文件夹中可以看到 2 个数据点。下面是我正在寻找的输出。提前致谢。

输出寻找。

  <Folder>
        <name>MISCELNOUS</name>
        <Placemark>
            <name>GLEACHER CENTER</name>
            <Snippet maxLines="0"></Snippet>
            <description>Center<description>
            <LookAt>
                <longitude>-87.62224000000001</longitude>
                <latitude>41.889645</latitude>
            </LookAt>
            <Point>
                <coordinates>-87.62224000000001,41.889645,0</coordinates>
            </Point>
        </Placemark>
        <Placemark>
            <name>TRANSUNION BUILDING</name>
            <Snippet maxLines="0"></Snippet>
            <description>the post</description>
            <LookAt>
                <longitude>-87.641824</longitude>
                <latitude>41.878961</latitude>
            </LookAt>
            <Point>
                <coordinates>-87.641824,41.878961,0</coordinates>
            </Point>
        </Placemark>
    </Folder>
    <Folder>
            <name>Office</name>
            <Placemark>
                <name>EAST NORTH ACADEMY</name>
                <Snippet maxLines="0"></Snippet>
                <description>My hero Academia</description>
                <LookAt>
                    <longitude>-82.38971100000001</longitude>
                    <latitude>34.852488</latitude>
                </LookAt>
                <Point>
                <coordinates>-82.38971100000001,34.852488,0</coordinates>
                </Point>
            </Placemark> 
        </Folder>

我的代码：

kml = simplekml.Kml()
kml.newdocument(name="PCI Data")
for i, j in df_small.iterrows():
  try:
     fol = kml.newfolder()
     fol.name = j['folder']
     pnt = fol.newpoint(name=j['Name'], coords=[[j['latitude'], j['longitude']]])
     #pnt.lookat = simplekml.LookAt(gxaltitudemode=simplekml.GxAltitudeMode.relativetoseafloor,latitude=j['latitude'], longitude=j['longitude'], range=1000, heading=0, tilt=0)
  except Exception as e:
     print(e)
    
print(kml.kml())

我的输出：

<?xml version="1.0" encoding="UTF-8"?>
    <kml xmlns="http://www.opengis.net/kml/2.2" xmlns:gx="http://www.google.com/kml/ext/2.2">
    <Document id="635">
        <Document id="636">
            <name>PCI Data</name>
        </Document>
        <Folder id="637">
            <name>MISCELNOUS</name>
            <Placemark id="639">
                <name>SOKA BAU GP-FK00</name>
                <Point id="638">
                    <coordinates>32.77815,-96.7954,0.0</coordinates>
                </Point>
            </Placemark>
        </Folder>
        <Folder id="640">
            <name>MISCELNOUS</name>
            <Placemark id="642">
                <name>Thematic Platform LP FA01</name>
                <Point id="641">
                    <coordinates>32.77815,-96.7954,0.0</coordinates>
                </Point>
            </Placemark>
        </Folder>
    </Document>
</kml>

我还有更多的文件夹要创建，里面应该包含更多的地标。

目前，我正在尝试这样解决，但没有成功获得结果。任何指导都会有所帮助。

 kml = simplekml.Kml()
 doc = kml.newdocument(name="PCI Data")
 for i, j in df_small.iterrows():
     try:
         if 'MISCELNOUS' or 'Office' in [x.name for x in kml.containers]:
             fol.name = j['primary_property_type']
             pnt = fol.newpoint(name=j['Name'], coords=[[j['latitude'], j['longitude']]])
             pnt = fol.newpoint(name=j['Name'], coords=[[j['latitude'], j['longitude']]])
             pnt.lookat = simplekml.LookAt(gxaltitudemode=simplekml.GxAltitudeMode.relativetoseafloor,latitude=j['latitude'], longitude=j['longitude'], range=1000, heading=0, tilt=0)
         else:
             fol = kml.newfolder()
             fol.name = j['primary_property_type']
             pnt = fol.newpoint(name=j['Name'], coords=[[j['latitude'], j['longitude']]])
             pnt.lookat = simplekml.LookAt(gxaltitudemode=simplekml.GxAltitudeMode.relativetoseafloor,latitude=j['latitude'], longitude=j['longitude'], range=1000, heading=0, tilt=0)
     except Exception as e:
         print(e)
    
 print(kml.kml())

示例数据集：

 df_sample = pd.DataFrame({'Name': ['GLEACHER CENTER', 'TRANSUNION BUILDING', 'EAST NORTH ACADEMY'], 
           'description': ['Center', 'the post', 'My hero Academia'],
            'longitude' : [-87.62224000000001, -87.641824, -82.38971100000001],
            'latitude'  : [41.889645, 41.878961, 34.852488],
            'folder'    : ['MISCELNOUS', 'MISCELNOUS', 'Office']})

Answer 1

只需在行循环外初始化 simpleKML Folder。然后将 newpoints 添加到这个文件夹。要分离出文件夹标签，运行一个 groupby 迭代并在运行ning 数据框按行迭代之前分配文件夹名称。

kml = simplekml.Kml() 
doc = kml.newdocument(name="PCI Data")

for grp, sub in df_sample.groupby("folder"):
    fol = kml.newfolder(name=grp)

    for row in sub.iterrows():
        try: 
            fol.newpoint(
                name=row['Name'], 
                description=row['description'], 
                coords=[[row['latitude'], row['longitude']]]
            )

        except Exception as e: 
            print(e)

print(kml.kml())

Answer 2

谢谢，@Parfait。对您的解决方案进行一些修改。我得到了我需要的东西。你救了我的命。

 kml = simplekml.Kml() 
 doc = kml.newdocument(name="PCI Data")

 for grp, sub in df_sample.groupby("folder"):
     fol = kml.newfolder(name=grp)

     for row in sub.iterrows():
         try: 
             fol.newpoint(
                 name=row[1]['Name'], 
                 description=row[1]['description'], 
                 coords=[[row[1]['latitude'], row[1]['longitude']]]
        )

         except Exception as e: 
             print(e)

 print(kml.kml())

Python Simplekml 如果文件夹已经存在，将文件夹内的数据附加为地标标签

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