用phython写出kml批量转换shp

可以使用 pyKML 库来实现批量转换 kml 到 shp，以下是示例代码：

from os import listdir
from os.path import isfile, join
from pykml import parser
from osgeo import ogr

# 输入 kml 文件夹路径和输出 shp 文件夹路径
kml_folder = 'path/to/kml/folder'
shp_folder = 'path/to/shp/folder'

# 获取 kml 文件列表
kml_files = [f for f in listdir(kml_folder) if isfile(join(kml_folder, f)) and f.endswith('.kml')]

# 遍历 kml 文件列表
for kml_file in kml_files:
    # 解析 kml 文件
    with open(join(kml_folder, kml_file), 'rb') as f:
        root = parser.parse(f).getroot()

    # 获取 kml 文件中的坐标点
    coordinates = []
    for placemark in root.Document.Folder.Placemark:
        for point in placemark.MultiGeometry.Point:
            coordinates.append([float(c) for c in point.coordinates.text.split(',')])

    # 创建 shp 文件
    shp_file = join(shp_folder, kml_file.replace('.kml', '.shp'))
    driver = ogr.GetDriverByName('ESRI Shapefile')
    ds = driver.CreateDataSource(shp_file)
    layer = ds.CreateLayer('', None, ogr.wkbPoint)
    layer_defn = layer.GetLayerDefn()

    # 添加坐标点到 shp 文件
    for coordinate in coordinates:
        feature = ogr.Feature(layer_defn)
        point = ogr.Geometry(ogr.wkbPoint)
        point.AddPoint(coordinate[0], coordinate[1])
        feature.SetGeometry(point)
        layer.CreateFeature(feature)

    # 释放资源
    ds = None

这段代码会遍历指定的 kml 文件夹，将每个 kml 文件中的坐标点提取出来，并创建对应的 shp 文件。