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fprintf uiputfile of multiselect data file doesnt work....
조회 수: 1 (최근 30일)
이전 댓글 표시
Hi, everyone.... I just so confused with this data, so let me share my wrongness code right below :
[namafile,direktori]=uigetfile({'*.txt', 'Text-files (*.txt)'},'Load Data Magnet LEMI Non RAW Non IAGA (Menitan / Detikan)','Multiselect','on');
full = fullfile(direktori,namafile);
nfiles = size(full,2);
f = cellstr(fullfile(direktori,namafile));
file = length(f);
if file == 1
[~, base, ~] = fileparts(full);.... %This completed code was good
else
if file > 1 %This is my code for multiselect file from uigetfile function
for k = 1:nfiles
[~, namafile{k}] = fileparts(full{k});
nama = namafile{k};
lastIndex2 = length(nama);% Capitalize first character and lower case remaining characters.
m1 = contains(nb, '1m');
s1 = contains(nb, '1s');
lem = contains(nb, 'lemi');
sta = extractBefore(nb,"_lemi");
sti2 = "Hasil Ekstrak Gabungan File Komponen Magnet H dan F Data Lemi" + " " + "(" + tipe2 + ")" + " " + "Stasiun" + " " + sta2 ;
opts = delimitedTextImportOptions('Delimiter',' ',...
'VariableNames', {'VarName1','VarName2','VarName3','VarName4','VarName5','VarName6','VarName7','VarName8','VarName9','VarName10','VarName11','VarName12','VarName13'},...
'WhiteSpace', '');
B = readmatrix(full{k}, opts);
tahun = cellfun(@str2num,(B(1:end,1))); %: Mendapatkan data tahun pada kolom 1
bulan = cellfun(@str2num,(B(1:end,2))); %: Mendapatkan data bulan pada kolom 2
tanggal = cellfun(@str2num,(B(1:end,3))); %: Mendapatkan data tanggal pada kolom 3
jam = cellfun(@str2num,(B(1:end,4))); %: Mendapatkan data jam pada kolom 4
menit = cellfun(@str2num,(B(1:end,5))); %: Mendapatkan data menit pada kolom 4
detik = cellfun(@str2num,(B(1:end,6))); %: Mendapatkan data detik pada kolom 6
x = cellfun(@str2num,(B(1:end,7))); %: Mendapatkan data magnet arah sumbu x pada kolom 7
y = cellfun(@str2num,(B(1:end,8))); %: Mendapatkan data magnet arah sumbu y pada kolom 8
z = cellfun(@str2num,(B(1:end,9))); %: Mendapatkan data magnet arah sumbu z pada kolom 9
h = cellfun(@str2num,(B(1:end,10))); %: Mendapatkan data medan magnet Komponen H pada kolom 10
h_combine(:,k) = h(:);
h = h(:);
D = datetime(tahun,bulan,tanggal,0,0,0,'TimeZone','Asia/Jakarta');
D_combine(:,k) = D(:);
D = D(:);
date = string(D_combine(:));
time = hours(jam) + minutes(menit) + seconds(detik);
time.Format = 'hh:mm:ss';
time_combine(:,k) = time(:);
time = time(:);
tim = string(time);
wak = D + time;
wak_combine(:,k) = wak(:);
wak = wak(:);
waks = wak_combine(:,1:k);
waks = waks(:);
ntropy = string(waks);
DOHk = sqrt((x.^2)+(y.^2));
DOHk_combine(:,k) = DOHk(:);
DOHk = DOHk(:);
komph = DOHk_combine(:,1:k);
komph(:) = double(komph(:));
DOFk = sqrt((x.^2)+(y.^2)+(z.^2));
DOFk_combine(:,k) = DOFk(:);
kompf = DOFk_combine(:,1:k);
kompf(:) = double(kompf(:));
output_combine2 = horzcat(DOHk_combine(:),DOFk_combine(:));
%Im trying to let the variable become so many like that because im still trying and error...
end
if m2 == 1 || s2 == 1 || lem2 == 1
[namafile3, direktori1, ~] = uiputfile({'*.txt', 'Text-files (*.txt)'}, 'Simpan Hasil Sebagai', sti2);
eval(['cd ''' direktori1 ''';']);
fout=fopen(namafile3,'w');
fprintf(fout,'%s %f %f\n',ntropy, komph(:), kompf(:));% This is the [expletive deleted--dpb] output that brings me so confused
fclose(fout);
end
end
This output of " fprintf(fout,'%s %f %f\n',ntropy, komph(:), kompf(:)); ", just bring me so confused because although the length of ntropy, komph(:), and kompf(:) variables are matched each other, no matter how hard i try, it always give this terrible output :
02-Jul-2019 00:00:59 NaN NaN
02-Jul-2019 00:03:59 NaN NaN
02-Jul-2019 00:06:59 NaN NaN
02-Jul-2019 00:09:59 NaN NaN
02-Jul-2019 00:12:59 NaN NaN
02-Jul-2019 00:15:59 NaN NaN
02-Jul-2019 00:18:59 NaN NaN
........................
Why it always give me the NaN???? it should be a double variable data, right? So, would anyone lend me a hand to solve my problem here?? Thank you very much. (I have attached my data sample for anyone who wanna try my data with my code...)
Im sorry for interrupt your days... /.\ /.\ /.\
댓글 수: 2
Stephen23
2021년 8월 13일
You should replace this evil EVAL (and command syntax):
eval(['cd ''' direktori1 ''';']);
with simpler and more efficient function syntax:
cd(direktori1)
Or even better: use absolute/relative filenames instead of slow CD.
Tyann Hardyn
2021년 8월 13일
Alright, yes, thats solve a bit of my problem... Everyone in forum always do the same advice to me, i just forgot about that. Thank you very much, Sir...
채택된 답변
Cris LaPierre
2021년 8월 13일
편집: Cris LaPierre
2021년 8월 13일
The issue is with how MATLAB is plugging numbers into your format spec '%s %f %f\n'. When you supply fprintf with more than 1 variable, and those variables are not scalars, it uses all the values from the first variable before moving to values from the second variable. In this case, notice that the first time in your oput is '02-Jul-2019 00:00:59' but the second is '02-Jul-2019 00:03:59'. The 2nd and 3rd ntropy values (01:59 and 02:59) were written using %f, but the data is string, so you get NaN displayed.
The solution is to either put the fprintf statement inside a for loop that writes a single value from each variable each time,
for v = 1:length(ntropy)
fprintf(fout,'%s %f %f\n',ntropy(v), komph(v), kompf(v));
end
or organize your data so that it is formatted in a way where the format string aligns with the data. Since MATLAB uses column-major ordering by default, this means putting each variable in a matrix row so that as the data is read out column by colum, the 3 rows align with the 3 formats.
fprintf(fout,'%s %f %f\n',[ntropy, komph, kompf]');
댓글 수: 7
Walter Roberson
2021년 8월 13일
Or use compose(), which goes across rows,
fprintf(fout, '%s\n', compose("%s %f %f", ntropy, komph, kompf));
Walter Roberson
2021년 8월 13일
편집: Cris LaPierre
2021년 8월 13일
fprintf(fout,'%s %f %f\n',[ntropy, komph, kompf]');
I do not see where ntropy is assigned to, so I cannot tell if it is datetime or string array. We can tell it is not cell array of character vector because fprintf() would refuse to process cells.
But either way, datetime or string array, if you [] it together with the numeric values in komph and kompf you are going to have problems -- either a MATLAB error or else the komp* values converted to a datatype that %f is not suitable for.
When you are mixing datatypes, then to use the [a,b,c]' approach then you have to convert to cell array in which the rows are the different variables (first row first variable, second row second variable), and then do cell expansion,
ntropy_cell = num2cell(reshape(ntropy, 1, []));
komph_cell = num2cell(reshape(komph, 1, []));
kompf_cell = num2cell(reshape(kompf, 1, []));
combined_cell = [ntropy_cell; komph_cell; kompf_cell];
fprintf(fout, '%s %f %f\n', combined_cell{:});
Cris LaPierre
2021년 8월 13일
편집: Cris LaPierre
2021년 8월 13일
ntropy is a string
ntropy = string(waks);
You make a good point, but I tested using [] before posting and it worked.
namafile = {'jayapura_lemi_1m_20190702.txt'};
direktori =[];
full = fullfile(direktori,namafile);
nfiles = size(full,2);
f = cellstr(fullfile(direktori,namafile));
[~, base, ~] = fileparts(full); %This completed code was good
for k = 1:nfiles
[~, namafile{k}] = fileparts(full{k});
opts = delimitedTextImportOptions('Delimiter',' ',...
'VariableNames', {'VarName1','VarName2','VarName3','VarName4','VarName5','VarName6','VarName7','VarName8','VarName9','VarName10','VarName11','VarName12','VarName13'},...
'WhiteSpace', '');
B = readmatrix(full{k}, opts);
tahun = cellfun(@str2num,(B(1:end,1))); %: Mendapatkan data tahun pada kolom 1
bulan = cellfun(@str2num,(B(1:end,2))); %: Mendapatkan data bulan pada kolom 2
tanggal = cellfun(@str2num,(B(1:end,3))); %: Mendapatkan data tanggal pada kolom 3
jam = cellfun(@str2num,(B(1:end,4))); %: Mendapatkan data jam pada kolom 4
menit = cellfun(@str2num,(B(1:end,5))); %: Mendapatkan data menit pada kolom 4
detik = cellfun(@str2num,(B(1:end,6))); %: Mendapatkan data detik pada kolom 6
x = cellfun(@str2num,(B(1:end,7))); %: Mendapatkan data magnet arah sumbu x pada kolom 7
y = cellfun(@str2num,(B(1:end,8))); %: Mendapatkan data magnet arah sumbu y pada kolom 8
z = cellfun(@str2num,(B(1:end,9))); %: Mendapatkan data magnet arah sumbu z pada kolom 9
h = cellfun(@str2num,(B(1:end,10))); %: Mendapatkan data medan magnet Komponen H pada kolom 10
h_combine(:,k) = h(:);
h = h(:);
D = datetime(tahun,bulan,tanggal,0,0,0,'TimeZone','Asia/Jakarta');
D_combine(:,k) = D(:);
D = D(:);
date = string(D_combine(:));
time = hours(jam) + minutes(menit) + seconds(detik);
time.Format = 'hh:mm:ss';
time_combine(:,k) = time(:);
time = time(:);
tim = string(time);
wak = D + time;
wak_combine(:,k) = wak(:);
wak = wak(:);
waks = wak_combine(:,1:k);
waks = waks(:);
ntropy = string(waks);
DOHk = sqrt((x.^2)+(y.^2));
DOHk_combine(:,k) = DOHk(:);
DOHk = DOHk(:);
komph = DOHk_combine(:,1:k);
komph(:) = double(komph(:));
DOFk = sqrt((x.^2)+(y.^2)+(z.^2));
DOFk_combine(:,k) = DOFk(:);
kompf = DOFk_combine(:,1:k);
kompf(:) = double(kompf(:));
output_combine2 = horzcat(DOHk_combine(:),DOFk_combine(:));
end
fprintf('%s %f %f\n',[ntropy, komph, kompf]')
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02-Jul-2019 20:51:59 35946.763700 38758.939900
02-Jul-2019 20:52:59 35947.130500 38759.369800
02-Jul-2019 20:53:59 35947.380900 38759.688100
02-Jul-2019 20:54:59 35947.674200 38760.042300
02-Jul-2019 20:55:59 35948.006700 38760.440500
02-Jul-2019 20:56:59 35948.190700 38760.689700
02-Jul-2019 20:57:59 35948.154500 38760.701000
02-Jul-2019 20:58:59 35948.291400 38760.876500
02-Jul-2019 20:59:59 35948.465400 38761.067800
02-Jul-2019 21:00:59 35948.534900 38761.143600
02-Jul-2019 21:01:59 35948.656200 38761.259800
02-Jul-2019 21:02:59 35948.722900 38761.317900
02-Jul-2019 21:03:59 35948.954300 38761.536200
02-Jul-2019 21:04:59 35949.125700 38761.710200
02-Jul-2019 21:05:59 35949.246600 38761.841000
02-Jul-2019 21:06:59 35949.364700 38761.950600
02-Jul-2019 21:07:59 35949.644300 38762.247200
02-Jul-2019 21:08:59 35949.808000 38762.447700
02-Jul-2019 21:09:59 35949.925200 38762.620000
02-Jul-2019 21:10:59 35950.082400 38762.833100
02-Jul-2019 21:11:59 35950.217900 38762.999900
02-Jul-2019 21:12:59 35950.326300 38763.164000
02-Jul-2019 21:13:59 35950.370200 38763.215900
02-Jul-2019 21:14:59 35950.503400 38763.365600
02-Jul-2019 21:15:59 35950.589600 38763.494200
02-Jul-2019 21:16:59 35950.7...
Walter Roberson
2021년 8월 13일
Ah... in that case, [ntropy, komph, kompf] would convert komph and kompf to string... and interestingly, %f would be able to convert the string back to numeric again. You can lose some precision doing this, but it can generally work (as a hack)
... I'm sure I searched for assignment to ntropy... several times... don't know how I overlooked it.
Tyann Hardyn
2021년 8월 14일
편집: Tyann Hardyn
2021년 8월 14일
@Cris LaPierre : "You make a good point", Omg, thats such a good spirit for me, Sir, thank you very much !
About the code of :
for v = 1:length(ntropy)
fprintf(fout,'%s %f %f\n',ntropy(v), komph(v), kompf(v));
end
Yes, i ever do the same thing, but it still didnt work.... Sadly. But its good when used for a single file, not a multi select files (maybe)
and Mr @Walter Roberson.... Omg , i cant say anything besides.... ITS Working !!!!!!! Wonderful.... Omg. Thanks Almighty God....
This code of yours totally works :
ntropy_cell = num2cell(reshape(ntropy, 1, []));
komph_cell = num2cell(reshape(komph, 1, []));
kompf_cell = num2cell(reshape(kompf, 1, []));
combined_cell = [ntropy_cell; komph_cell; kompf_cell];
fprintf(fout, '%s %f %f\n', combined_cell{:});
So, the good arrangement is by using " reshape" function, yes? It maybe the key for this. Or maybe its because the conversion method from number to cell data by early? Why is the conversion data is so important, Sir? And the other " compose " thing was also works!! Thank you very much, Sir ! You have my deep gratitude for this. Ive been thinking for hours for this code before asking to the forum... /.\ /.\ /.\
Tyann Hardyn
2021년 8월 14일
@Cris LaPierre "The issue is with how MATLAB is plugging numbers into your format spec '%s %f %f\n'. When you supply fprintf with more than 1 variable, and those variables are not scalars, it uses all the values from the first variable before moving to values from the second variable. In this case, notice that the first time in your oput is '02-Jul-2019 00:00:59' but the second is '02-Jul-2019 00:03:59. The 2nd and 3rd ntropy values (01:59 and 02:59) were written using %f, but the data is string, so you get NaN displayed."
Ohhh, so thats why the output is always give me NaN .... I have already know the reason now.... Thank you so much, Sir... Its become my new knowledge...
Tyann Hardyn
2021년 8월 20일
편집: Tyann Hardyn
2021년 8월 20일
@Cris LaPierre Ohh, yes, you re right, Sir. I have a problem with that order of data. And i remember that i ever ask about it in this question. So i try again what you share to me, and its work also by using this code !!!
fprintf(fout,'%s %f %f\n',[ntropy, komph, kompf]');
Without the code of yours, my previous code is :
fprintf(fout,'%s %s %s %s %s %s %s %s\n', 'DATE', 'TIME', 'H(Calc)', 'H(Obs)', 'F(Calc)', 'X(Obs)', 'Y(Obs)', 'Z(Obs)');
fprintf(fout,'%s %s %.2f %.2f %.2f %.2f %.2f %.2f\n', char(D), times, DOH, h, DOF, x, y, z);
fclose(fout);
And it brings me the confused output with NaN thing.
After that, i retype again by using your format so the code above become like this :
fprintf(fout,'%s %s %s %s %s %s %s %s\n', 'DATE', 'TIME', 'H(Calc)', 'H(Obs)', 'F(Calc)', 'X(Obs)', 'Y(Obs)', 'Z(Obs)');
fprintf(fout,'%s %s %.2f %.2f %.2f %.2f %.2f %.2f\n', [char(D), times, DOH, h, DOF, x, y, z]');
fclose(fout);
And voila, it Work!! Thank you very much, Sir
So, matlab is indeed, a column based script.
추가 답변 (1개)
dpb
2021년 8월 13일
편집: dpb
2021년 8월 13일
fprintf(fout,'%s %f %f\n',ntropy, komph(:), kompf(:));% This is the [expletive deleted--dpb] output that brings me so confused
The problem is that fprintf is vectorized and outputs each argument in its entirety before going on to the next and tries to match the elements in sequence to the formatting string. Your output string says it expects one string and then two floats in sequence but it is passed an array of strings, then an array of double, then another array of double.
Low level i/o has to be written a record at a time -- something like
[namafile3, direktori1, ~] = uiputfile({'*.txt', 'Text-files (*.txt)'}, 'Simpan Hasil Sebagai', sti2);
fout=fopen(fullfile(direktori1,namafile3),'w');
for i=1:numel(komph)
fprintf(fout,'%s %f %f\n',ntropy(i),komph(i),kompf(i));
end
fclose(fout);
There are examples of outputting formatted text files in the documentation for fprintf that illustrate this.
Mixed data types are more difficult to deal with than consistent types that can be put into single arrays.
You might want to look into using the table data structure instead; writetable then will handle the various data types transparently for you.
NOTA BENE:
I've not looked at the rest of the code, but almost certainly most of the machinations could be avoided by reading the variables as the proper type. See detectImportOptions and readtable
Also, as the logic is presently, there is nothing happening for the case of trying to read one file.
댓글 수: 2
Tyann Hardyn
2021년 8월 14일
Yea, thank you for your explanation, Sir. I never think about the use of " numel " before. This is one of the best solution of my problem here.... Thank you so much^^
dpb
2021년 8월 14일
편집: dpb
2021년 8월 14일
" I never think about the use of " numel " before"
It and size are the two workhorses -- length, while handy and by the name seemingly the proper function, is very dangerous/error-prone and should be avoided in general practice. The reason is that it is defined as
max(size(x))
and so for a 2D array will return either the number of rows if the array is "taller" than "wide" but will return the number of columns if the array is "wider" than "tall".
For a vector, they turn out to be the same, of course, but still it will be either the number of columns if a row vector or number of rows if column vector. It is the same number as numel() for the vector, but in general, length can lead to a surprise on occasion.
"This is one of the best solution of my problem here..."
It is the "plain vanilla" solution and doesn't rely on any of the newer features such as compose that could be used as others have illustrated.
I've not tried to compare the performance of the direct i/o in the loop as above to the vectorized creation of the string array and then outputting it. For relatively small arrays I'm sure either as adequate; if the size grew to be really large I'd guess one would be able to see the difference and the direct use of the runtime i/o libraries would win over the preprocessing-first route.
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