我知道要找到两个纬度和经度点之间的距离,我需要使用Haversine函数:def haversine(lon1, lat1, lon2, lat2): lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2]) dlon = lon2 - lon1 dlat = lat2 - lat1 a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2 c = 2 * asin(sqrt(a)) km = 6367 * c return km我有一个DataFrame,其中一列是经度,另一列是经度。我想找出这些点与设定点-56.7213600、37.2175900有多远。如何从DataFrame中获取值并将其放入函数中?示例DataFrame: SEAZ LAT LON1 296.40, 58.7312210, 28.3774110 2 274.72, 56.8148320, 31.29232403 192.25, 52.0649880, 35.80186404 34.34, 68.8188750, 67.19336705 271.05, 56.6699880, 31.68806206 131.88, 48.5546220, 49.78277307 350.71, 64.7742720, 31.39537808 214.44, 53.5192920, 33.84585609 1.46, 67.9433740, 38.484252010 273.55, 53.3437310, 4.4716664
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