index=0foriinrange(len(data)): temp_distance=get_distance(data[i], zs[0])iftemp_distance >distance: distance=temp_distance index=i#将Z2加入到聚类中心集中zs.append(data[index])#计算阈值TT = t *distancereturnT#计算两个模式样本之间
earth_radius =6378.137distance = s*earth_radiusifdistance >1:returnfloat('%.1f'% distance)else:returnfloat('%.2f'% distance) zero =0returnzerodefget_distance_order_by(model_list, latitude, longitude):"""根据距离排序"""try: store_distance =lambdamodel: get_distance(model.latitude, model.lo...
defget_locations():withopen("locations.csv","rt")asf:reader=csv.reader(f)header=next(reader)forrowinreader:station=row[header.index("STATION")]lat=float(row[header.index("LATITUDE")])lon=float(row[header.index("LONGITUDE")])yieldstation,(lat,lon)defget_distance(p1,p2):lat1,lon1=p1lat...
if__name__=="__main__":# 设置起点和终点origin="116.481028,39.989643"# 北京天安门destination="116.434446,39.90816"# 北京奥林匹克公园api_key="YOUR_API_KEY"# 替换为你的 API Key# 获取距离response=get_distance(origin,destination,api_key)# 解析并打印结果distance=parse_response(response)print(f"从...
dis = aligned_depth_frame.get_distance(x, y) # 获取该像素点对应的深度 # print ('depth: ',dis) # 深度单位是m camera_coordinate = rs.rs2_deproject_pixel_to_point(depth_intrin, depth_pixel, dis) # print ('camera_coordinate: ',camera_coordinate) ...
importrequestsimportjsonimporttimestart=time.process_time()#程序开始计时defget_location(county):# 设置函数转换计算经纬度defget_distance(origin,destination):#设置函数计算两经纬度间驾车距离result=int(get_distance(get_location('上海东方明珠'),get_location('北京天安门')))/1000#距离单位转换为公里end=time...
segment_distance = get_distance_dict(["Dynamic Time Warping"]) segment_results = time_series_segmentation(segment_distance, template_signal, signal_np) for k in segment_results: plt.figure(figsize=(15, 3)) plt.plot(signal_np, color='gray') ...
importgeopy.distancedefget_distance_point(lat, lon, distance, direction):""" 根据经纬度,距离,方向获得一个地点 :param lat: 纬度 :param lon: 经度 :param distance: 距离(千米) :param direction: 方向(北:0,东:90,南:180,西:360) :return: ...
from math import sin, asin, cos, radians, fabs, sqrtEARTH_RADIUS=6371# 地球平均半径大约6371kmdef hav(theta):s=sin(theta /2)return s * sdef get_distance_hav(lat0, lng0, lat1, lng1):# 用haversine公式计算球面两点间的距离# 经纬度转换成弧度lat0=radians(lat0)lat1=radians(lat1)lng0=...
import geopy.distance def get_distance_point(lat, lon, distance, direction):"""根据经纬度，距离，⽅向获得⼀个地点 :param lat: 纬度 :param lon: 经度 :param distance: 距离（千⽶）:param direction: ⽅向（北：0，东：90，南：180，西：360）:return:"""start = geopy.Point(lat, lon)...