从CSV文件读取数据时对数组的数值运算

我正在尝试从CSV文件读取一些值的同时，对一些数组进行一些数值运算。

我有一个固定的接收器坐标，并且我从跟踪太阳的CSV文件中读取了定日镜的坐标。

接收者的坐标：

# co-ordinates of Receiver
XT = 0  # X co-ordinate of Receiver
YT = 0   # Y co-ordinate of Receiver
ZT = 207.724  # Z co-ordinate of Receiver, this is the height of tower 
A = np.array(([XT],[YT],[ZT]))
print(A," are the co-ordinates of the target i.e. the receiver")

十个定日镜的坐标：我从CSV文件中读取了以下数据以及以下数据：

#X,Y,Z
#-1269.56,-1359.2,5.7
#1521.28,-68.0507,5.7
#-13.6163,1220.79,5.7
#-1388.76,547.708,5.7
#1551.75,-82.2342,5.7
#405.92,-1853.83,5.7
#1473.43,-881.703,5.7
#1291.73,478.988,5.7
#539.027,1095.43,5.7
#-1648.13,-73.7251,5.7

我读取了CSV的坐标，如下所示：

import csv
# Reading data from csv file
with open('Heliostat Field Layout Large heliostat.csv') as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
X = []
Y = []
Z = []
for row in readCSV:
    X_coordinates = row[0]
    Y_coordinates = row[1]
    Z_coordinates = row[2]
    X.append(X_coordinates)
    Y.append(Y_coordinates)
    Z.append(Z_coordinates)
Xcoordinate = [float(X[c]) for c in range(1,len(X))]
Ycoordinate=[float(Y[c]) for c in range(1,len(Y))]
Zcoordinate=[float(Z[c]) for c in range(1,len(Z))]

现在，当我尝试打印十个定日镜的坐标时，我得到了三个大数组，其中所有Xcoordinate，Ycoordinate和Zcoordinate分组为一个，而不是十个不同的输出。

 [[[-1269.56    1521.28     -13.6163 -1388.76    1551.75     405.92    1473.43
1291.73     539.027  -1648.13  ]]

 [[-1359.2      -68.0507  1220.79     547.708    -82.2342 -1853.83
-881.703    478.988   1095.43     -73.7251]]

 [[    5.7        5.7        5.7        5.7        5.7        5.7        5.7
   5.7        5.7        5.7   ]]]  are the co-ordinates of the heliostats

我用了：

B = np.array(([Xcoordinate],[Ycoordinate],[Zcoordinate]))
print(B," are the co-ordinates of the heliostats")

怎么了

此外，我想有一个数组，我像B-A那样使用：

#T1 = matrix(A)- matrix(B)
#print(T1," is the target vector for heliostat 1, T1")

我应该如何对数组A和B进行数值运算？我在这里尝试了矩阵运算。错了吗