属性错误float对象没有属性'append'

时间:2015-09-29 18:35:05

标签: python numpy lidar

我尝试使此代码打开LAS文件进行更改,然后将结果保存到新的LAS文件中。 las文件包含具有坐标(X和Y)和值(如高程的Z)的点。不幸的是,如果我没有将保存部分放入其中,代码可以工作,但是当我在下面这样做时,我收到以下错误:

Traceback (most recent call last):
  File "C:\Users\Geri\Desktop\Sync\pythonlas\envisecond.py", line 33, in <module>
    listx1=p.append(listx1, float[newx])
AttributeError: 'float' object has no attribute 'append'
enter code here

到目前为止,我知道我需要一个数组来将值保存到代码末尾的las文件中:

import laspy
import laspy.file
import numpy as p
header = laspy.header.Header()
inFile2 = laspy.file.File("C:\\Users\\Geri\\Desktop\\Sync\\pythonlas\\mapperclip\\2clip.las", mode = "r")
inFile3 = laspy.file.File("C:\\Users\\Geri\\Desktop\\Sync\\pythonlas\\mapperclip\\3clip.las", mode = "r")
point_records = inFile2.points
point_records = inFile3.points

t=0
listx1=p.array([], dtype=float)
listy1=p.array([], dtype=float)
listz1=p.array([], dtype=float)
while t < 415:
    z=0
    q=0
    p=0.1
    while z==0:

        xmin=inFile3.x[t]-p
        ymin=inFile3.y[t]-p
        xmax=inFile3.x[t]+p
        ymax=inFile3.y[t]+p
        n=0
        for points in inFile2.points:
            ax=inFile2.x[n]
            ay=inFile2.y[n]
            if ax > xmin and ax < xmax and ay < ymax and ay > ymin: 

                newx = [inFile3.x[t]-((inFile3.x[t]-inFile2.x[n])/2)]
                newy = [inFile3.y[t]-((inFile3.y[t]-inFile2.y[n])/2)]
                newz = [inFile3.z[t]-((inFile3.z[t]-inFile2.z[n])/2)]
                listx1=p.append(listx1, float[newx])
                listy1=p.append(listy1, float[newy])
                listz1=p.append(listz1, float[newz])
                print listx1
                print n
                n+=1
                q+=1
                t+=1

            else:
                n+=1
        if q>0:            
            z+=1
        else:
            p+=0.1
outfile = laspy.file.File("C:\\Users\\Geri\\Desktop\\Sync\\pythonlas\\mapperclip\\output2.las", mode="w", header=header)
outfile.X = [listx1]
outfile.Y = [listy1]
outfile.Z = [listz1]
outfile.close() 

1 个答案:

答案 0 :(得分:5)

您在外部p循环开始时将float设置为while

p=0.1

掩盖了顶部的numpy导入:

import numpy as p

所以在while循环中p不再是模块,它是float对象,调用p.append()调用将失败。

为模块或float值使用其他名称。