如何从二维数据中获取三维数据点

Question

我有两组相互垂直的二维数据。一组在x-y平面上，另一组在x-z平面上。换句话说，它们共享x轴。下面是我所描述的内容的一个大概图

Form of data

这些平面上的数据映射每个点的强度，因此红色区域中的点的值为3，黄色区域中的点的值为2，依此类推

我的目标是编写一个程序，将这两个平面关联起来，创建一个3D形状。下面是我写的代码

mPoints1 = pd.DataFrame(columns = ['X','Y','Z','I'])
iPoints1 = pd.DataFrame(columns = ['X','Y','Z','I'])


#newV_transposed and newH_transposed.columns are the dataframes containing intensities for each value on the axis                  
for m in list(newV_transposed.columns.values): #This iterates through the x values of the x-y dataset
    for n in list(newH_transposed.columns.values): #This iterates through the x values of the x-z dataset
        if (m == n and 931.717<= m <=932.145): #check that we are looking at the intensity value associated with the same x in both sets of data
            ymatches = newV_transposed.loc[newV_transposed[m] == 3] #selecting all the rows that have an intensity of 3 in the x-y data set
            zmatches = newH_transposed.loc[newH_transposed[m] == 3] #selecting all the rows that have an intensity of 3 in the x-z data set
            ys = ymatches.index.values #storing all the y values of the rows
            zs = zmatches.index.values #storing all the z values of the rows
            for z in zs: #iterate through the z values found
                for y in ys: #iterate through the y values found
                    iPoints1 = iPoints1.append({'X': m, 'Y': y, 'Z': z, 'I': 3}, ignore_index=True)
                    # add a set of coordinates to the data frame iPoints one
                    # This nested loops ensures that I am layering a set of points along the z axis 

for m in list(newV_transposed.columns.values):
    for n in list(newH_transposed.columns.values):
        if (m == n and 931.717<= m <=932.145):       #and m == 932.505
            ymatches = newV_transposed.loc[newV_transposed[m] == 2]
            zmatches = newH_transposed.loc[newH_transposed[m] == 2]
            ys = ymatches.index.values
            zs = zmatches.index.values
            for z in zs:
                for y in ys:
                    mPoints1 = mPoints1.append({'X': m, 'Y': y, 'Z': z, 'I': 2}, ignore_index=True)

因此，我用红色绘制了iPoints1中存储的坐标点，用半透明橙色绘制了mPoints1中存储的坐标点。下面是我从不同角度观察结果的截图

y-z perspective

这一个看起来不正确，因为似乎有一个橙色的点，我没有预料到下降。我在程序中做错了什么导致了这种下降？我如何修复这种情况

x-y perspective

x-z perspective

我将感谢任何反馈，如果有任何其他信息我可以提供帮助，请让我知道