我想計(jì)算兩個(gè)數(shù)組中所有坐標(biāo)對(duì)之間的距離。這是我寫的一些代碼：def haversine(x,y):    """    Calculate the great circle distance between two points     on the earth (specified in decimal degrees)    """    # convert decimal degrees to radians     print(type(x))    lat1, lon1 = np.radians(x)    lat2, lon2 = np.radians(y)    # haversine formula     dlon = lon2 - lon1     dlat = lat2 - lat1     a = np.sin(dlat/2)**2 + np.cos(lat1) * np.cos(lat2) * np.sin(dlon/2)**2    c = 2 * np.arcsin(np.sqrt(a))     r = 6371 # Radius of earth in kilometers. Use 3956 for miles    return c * rhaversine = np.vectorize(haversine)數(shù)組是gas_coords和postal_coords。注意type(postal_coords)>>>numpy.ndarraytype(gas_coords)>>>numpy.ndarray并且每個(gè)數(shù)組都有兩列。當(dāng)我嘗試計(jì)算距離時(shí)using scipy.spatial.distance.cdist，出現(xiàn)以下錯(cuò)誤：in haversine(x, y)      6     # convert decimal degrees to radians      7     print(type(x))---->; 8     lat1,lon1 =np.radians(x)      9     lat2,lon2 = np.radians(y)     10 TypeError: 'numpy.float64' object is not iterablehaversine似乎認(rèn)為輸入x是浮點(diǎn)數(shù)而不是數(shù)組。即使當(dāng)我將數(shù)組傳遞給haversine類似haversine(np.zeros(2),np.zeros(2))的對(duì)象時(shí)，也會(huì)出現(xiàn)同樣的問題。我應(yīng)該注意，這僅在通過進(jìn)行矢量化后發(fā)生np.vectorize。從來看haversine，參數(shù)不會(huì)以任何方式改變。是什么原因引起的錯(cuò)誤？這是一個(gè)最小的工作示例：import numpy as npfrom scipy.spatial.distance import cdistgas_coords = np.array([[50, 80], [50, 81]])postal_coords = np.array([[51, 80], [51, 81]])cdist(postal_coords, gas_coords, metric = haversine)>>>array([[ 111.19492664,  131.7804742 ],          [ 131.7804742 ,  111.19492664]])