数据库记录遍历-iObjects Python with JupyterHub for K8s
使用Python对iObjects的空间数据库进行遍历，可以进一步加入处理操作。
from iobjectspy import (density_based_clustering,
Unit)
import os
import sys
# 设置示例数据路径
#example_data_dir = ''
example_data_dir = '/home/jovyan/data/smdata/'
# 设置结果输出路径
out_dir = os.path.join(example_data_dir, 'out')
if not os.path.exists(out_dir):
os.makedirs(out_dir)
def progress_func(step_event):
sys.stdout.write('%s,%s \n' % (step_event.title, step_event.message))
def dbscan_test():
""" 使用成都市某日17时到20时的出租车上车点数据taxi_up_webMercator，进行DBSCAN密度聚类,其中每类包含最少点数为50个, 搜索半径为100米"""
result = density_based_clustering(os.path.join(example_data_dir, 'example_dbscan.udb/taxi_up_webMercator'), 50, 100,
Unit.METER, out_data=os.path.join(out_dir, 'out_dbscan.udb'),
progress=progress_func)
if result is not None:
if isinstance(result, str):
print('DBSCAN密度聚类成功,结果数据集为 ' + result)
else:
print('DBSCAN密度聚类成功,结果数据集为 ' + result.name)
else:
print('DBSCAN密度聚类失败')
if __name__ == '__main__':
dbscan_test()
java -cp /opt/conda/lib/python3.6/site-packages/iobjectspy/_jsuperpy/jars/com.supermap.jsuperpy-9.1.1.jar com.supermap.jsuperpy.ApplicationExample 127.0.0.1 50505
[iObjectsPy]: Connection gateway-service successful, Python callback port bind 35767
Adding record to dataset...,Dealing with [500/37528]...
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Proceeding point cluster analysis,Proceeding point cluster operation(376/37528)
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DBSCAN密度聚类成功,结果数据集为 taxi_up_webMercator_dbscan
来源：oschina
链接：https://my.oschina.net/u/2306127/blog/3100647