numpy.insert()函数将数组插入错误的索引 [英] numpy.insert() function insert array into wrong index

问题描述

在这里，我的代码专长于表单文本文件；并将矩阵创建为多维数组，但是问题是代码创建了比二维数组更多的代码，我无法操纵，我需要二维数组，我该怎么做?

Here, my code feats value form text file; and create matrices as multidimensional array, but the problem is the code create more then two dimensional array, that I can't manipulate, I need two dimensional array, how I do that?

解释我的代码的算法:

代码Moto:我的代码从特定的文件夹中获取值，每个文件夹包含一个用户生成的7个"txt"文件，这样，多个文件夹将包含多个用户的多个数据.

Moto of code: My code fetch value from a specific folder, each folder contain 7 'txt' file, that generate from one user, in this way multiple folder contain multiple data of multiple user.

步骤1:启动第一个for循环，并使用特定文件夹中的文件夹数量来控制它，并在变量"path"中存储第一个文件夹的第一个路径.

step1: Start a 1st for loop, and control it using how many folder have in specific folder,and in variable 'path' store the first path of first folder.

第2步:使用2nd for loop打开路径并获取7个txt文件的数据.专长之后，它关闭2nd for loop并执行其余代码.

step2: Open the path and fetch data of 7 txt file using 2nd for loop.after feats, it close 2nd for loop and execute the rest code.

步骤3:将1个1d数组中的7个txt文件的数据连接起来.

step3: Concat the data of 7 txt file in one 1d array.

第4步:使用获取2个文件夹的数据创建2d数组

step4: create 2d array using getting data of 2 folder

step5(此处会出现问题):在2d数组ind inser id数组中创建一行

step5(here problem arise): create a row in 2d array ind inser id array

import numpy as np
import array as arr
import os
f_path='Result'
array_control_var=0

#for feacth directory path
for (path,dirs,file) in os.walk(f_path):
    if(path==f_path):
        continue
    f_path_1= path +'\page_1.txt'
    #Get data from page1 indivisualy beacuse there string type data exiest
    pgno_1 = np.array(np.loadtxt(f_path_1, dtype='U', delimiter=','))

    #only for page_2.txt
    f_path_2= path +'\page_2.txt'
    with open(f_path_2) as f:
        str_arr = ','.join([l.strip() for l in f])
    pgno_2 = np.asarray(str_arr.split(','), dtype=int)

    #using loop feach data from those text file.datda type = int
    for j in range(3,8):
    #store file path using variable
        txt_file_path=path+'\page_'+str(j)+'.txt'


        if os.path.exists(txt_file_path)==True:

            #genarate a variable name that auto incriment with for loop
            foo='pgno_'+str(j)
        else:
            break

        #pass the variable name as string and store value
        exec(foo + " = np.array(np.loadtxt(txt_file_path, dtype='i', delimiter=','))")

    #marge all array from page 2 to rest in single array in one dimensation
    f_array=np.concatenate((pgno_2,pgno_3,pgno_4,pgno_5,pgno_6,pgno_7), axis=0)

    #for first time of the loop assing this value
    if array_control_var==0:
        main_f_array=f_array
    if array_control_var==1:

        #here use np.array()
        main_f_array=np.array([main_f_array,f_array])
    else:
        main_f_array=np.insert(main_f_array, array_control_var, f_array, 0)

    array_control_var+=1

print(main_f_array)

我想要这样的输出

初始 [[0,0,0]，[0,0,0，]]

Initial [[0,0,0],[0,0,0,]]

插入后 [[0,0,0]，[0,0,0]，[0,0,0]]

after insert [[0,0,0],[0,0,0],[0,0,0]]

但是输出是

[array([0,  0,  0])
array([0,  0,  0])
0 0 0]

推荐答案

当我建议用列表构建替换insert时，这就是我的想法.

When I recommend replacing the insert with a list build, here's what I have in mind.

import numpy as np

alist = []
for i in range(4): 
    f_array = np.array([i, i+2, i+4])
    alist.append(f_array)

print(alist)
main_f_array = np.array(alist)

print(main_f_array)

试运行:

1246:~/mypy$ python3 stack54715610.py 
[array([0, 2, 4]), array([1, 3, 5]), array([2, 4, 6]), array([3, 5, 7])]
[[0 2 4]
 [1 3 5]
 [2 4 6]
 [3 5 7]]

如果文件加载产生的数组大小不同，则会得到不同的结果

If your file loading produces arrays that differ in size you'll get different results

f_array = np.arange(i, i+1+i)

1246:~/mypy$ python3 stack54715610.py 
[array([0]), array([1, 2]), array([2, 3, 4]), array([3, 4, 5, 6])]
[array([0]) array([1, 2]) array([2, 3, 4]) array([3, 4, 5, 6])]

这是一个1d对象dtype数组，与2d相反.

This is a 1d object dtype array, as opposed to the 2d.

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