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...
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的欧式距离defget_distance(data1, data2): distance=0forii...
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...
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...
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) ...
sqrt((1 - corr) / 2) distance_matrix = get_distance_matrix(corr) linkage_matrix = linkage(squareform(distance_matrix), 'single') linkage_matrix可用作seaborn.clustermap函数的输入,以可视化结果的分层聚类。seaborn显示的树状图显示了基于相对距离合并单个资产和资产集群的方式: clustergrid = sns.clustermap...
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') ...
distance_from_origin=get_distance(origin, destination)['route']['paths'][0]['distance'] print('起点坐标:',origin,'终点坐标:',destination,'距离:',distance_from_origin) start_longi_list.append(start_longi) start_lati_list.append(start_lati) end_longi_list.append(end_longi) end_lati_list....
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=...
defodMatrix(self,ifgeo,max_dis):distance=cdist(self.originlatlng,self.destinationlatlng,metric='euclidean')distance_cases=[]fori,oinenumerate(self.origin):forj,dinenumerate(self.destination):case={'起点':o[0],'终点':d[0],'olng':o[1],'olat':o[2],'dlng':d[1],'dlat':d[2],'直线...