我尝试使用python和mysqldb查询一个表和另一个表。到目前为止我得到的是:
db = MySQLdb.connect( host = 'localhost', user = 'user', passwd=
'password', db = 'vacants')
cursor = db.cursor()
numrows = cursor.rowcount
query = "SELECT address, ((20903520) * acos (cos ( radians(38.67054) )* cos(
radians( lat ) ) * cos( radians( `long` ) - radians(-90.22942) ) + sin (
radians(38.67054) ) * sin( radians( lat ) ))) AS distance FROM vacants HAVING
distance < 100;"
cursor.execute(query)
我有一张table,cfs,还有一张,vacants。我想看看cfs的每一排是否有100英尺以内的空置房产。所以对于(弧度(38.67054)和弧度(-90.22942),我需要遍历cfs表,以便每个cfs纬度和经度替换这两个数字(这只是我们使用的经纬度测试)
最后,我希望(在.csv中)有空的属性地址、与服务调用的距离和调用类型(这是服务调用数据库中两个独立的字段)。类似于上面的查询:
下面是示例数据-服务坐标调用:
38.595767638008056,-90.2316138251402
38.57283495467307,-90.24649031378685
38.67497061776659,-90.28415976525395
38.67650431524285,-90.25623757427952
38.591971519414784,-90.27782710145746
38.61272746420862,-90.23292862245287
38.67312983860098,-90.23591869583113
38.625956494342674,-90.18853950906939
38.69044465638584,-90.24339061920696
38.67745024638241,-90.20657832034047
以及逃学者:
38.67054,-90.22942
38.642956,-90.21466
38.671535,-90.27293
38.666367,-90.23749
38.65339,-90.23141
38.645996,-90.20334
38.60214,-90.224815
38.67265,-90.214134
38.665504,-90.274414
38.668354,-90.269966
1条答案
按热度按时间kg7wmglp1#
这不是最终的解决方案,因为没有足够的信息(地址字段?和20903520?),但通过演示如何迭代这两个表,并将cfs表中的lat、lon替换为应用于vacants表的查询,可能会帮助您步入正轨: