How to structure input data as what I need?

Question

reza 2019-1-20

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/440618-how-to-structure-input-data-as-what-i-need

编辑： Stephen23 2019-1-21

采纳的回答： Stephen23

store.txt

在 MATLAB Online 中打开

I have a text file with content like this:

35.921 M, 220,000, 48.509 M, 6.349 M, 54.052 M, 806,362, 41.018 M, 4.006 M, 41.564 M, 3.46 M, 40.02 M, 100,000, 39.22 M, 900,000, 36.974 M, 30,000, 36.549 M, 455,500, 35.739 M, 230,000, 33.104 M, 2.866 M, 19.627 M, 0, 18.877 M, 750,000, 19.603 M, 4.379 M, 23.982 M, 0, 10.186 M, 250,000, 10.436 M, 0, 15.414 M, 250,500, 15.465 M, 200,000, 21.571 M, 665,000, 22.236 M, 0, 15.537 M, 250,000, 15.787 M, 0, 21.422 M, 221,004, 21.243 M, 400,000, 30.662 M, 2.375 M, 33.036 M, 0, 39.287 M, 455,000, 39.742 M, 0, 53.141 M, 6.11 M, 59.131 M, 120,000, 23.587 M, 255,000, 23.842 M, 0, 17.043 M, 255,000, 17.298 M, 0, 33.51 M, 1.25 M, 34.75 M, 10,000, 36.408 M, 15,000, 28.248 M, 8.175 M, 32.367 M, 480,000, 31.535 M, 1.312 M, 54.773 M, 2.68 M, 43.936 M, 13.517 M, 58.955 M, 2.54 M, 41.234 M, 20.262 M, 45.222 M, 15,000

That I like to fill them into a N*4 dimentional matrix like this:

921 M, 220,000, 48.509 M, 6.349 M
052 M, 806,362, 41.018 M, 4.006 M
564 M, 3.46 M, 40.02 M, 100,000

How can I do it on Matlab?

I have attached my file to my question.

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Stephen23 2019-1-20

@reza: please upload the text file by clicking the paperclip button.

reza 2019-1-20

I have attached my file to my question.

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Answer 1

Stephen23 2019-1-20

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/440618-how-to-structure-input-data-as-what-i-need#answer_357231

编辑：Stephen23 2019-1-21

store.txt

str = fileread('store.txt');
str = strtrim(str);
C = regexp(str,'\s*,\s*','split');
[fid,msg] = fopen('store2.txt','wt');
assert(fid>=3,msg)
fprintf(fid,'%s, %s, %s, %s, %s\n', C{:});
fclose(fid);

EDIT: see the comments for further developments of this code.

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Stephen23 2019-1-21

编辑：Stephen23 2019-1-21

"In the C array there is a problem"

Actually the problem is the use of commas in the file. It appears that sometimes you want to treat the comma as the field delimiter and sometimes as a thousands separator. This is, in simple terms, a badly designed file format.

"How can I fix that?"

The best solution is to not use the same character for both the field delimiter and also the thousands separator.

But we might be able to work with this badly designed file...

"In some columns there are M letters that mean million, but I like to change them to thousands. For example the column 1 of C should be converted from 47.059 to the 47059000"

Your example "from 47.059 to the 47059000" shows M == one million, so it is not clear what "thousands" have to do with anything.

In any case, we can import the file data, converting the 'M' millions symbols to standard E-notation using regxprep, and handling the thousands separators using str2double:

str = fileread('store.txt');
C = regexp(strtrim(str),',\s+','split');
C = regexprep(C,'\s*M','e6');
M = str2double(C);
M = reshape(M,4,[]).';

Giving:

>> M
M =
   47059000     248000   40475000    6832000
   15404000     478714   15277000     605000
    9253000    9599000   10751000    8102000
    8518000    1115000    9417000     215937
   15647000    5987000   18284000    3351000
   21848000    1501000   21648000    1701000
   30845000    1300000   30663000    1482000
    9914000    5474000    9938000    5450000
   10775000     250000   10995000      30000
   21328000    2027000   22315000    1040000
   19588000    1540000   21048000      80000
   12554000     418000   11504000    1468000
   14980000    1299000   16135000     144008
   10878000     502040   11378000       2040
   10012000     275000   10287000          0
   11992000     500000   11707000     785244
   16492000     820000   17056000     256241
   19639000     378384   20017000          0
   13781000     639609   14161000     260000
   31797000     300507   26089000    6009000
   18159000      30391   15914000    2275000
   21271000    1010000   21501000     780000
   ... lots of rows here
    3601000     385001    3986000          0
    3070000    1970000    3090000    1950000
     646168      61378     707546          0
    1812000     264692    2077000          0
     469352          0     469352          0
    1312000          0    1312000          0
     643448          0     643448          0
     967725      40000    1008000          0
     551976          0     551976          0