fprintf uiputfile of multiselect data file doesnt work....

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... /.\ /.\ /.\

2 Comments

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.
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...

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 Accepted Answer

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]');

7 Comments

Or use compose(), which goes across rows,
fprintf(fout, '%s\n', compose("%s %f %f", ntropy, komph, kompf));
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{:});
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]')
02-Jul-2019 00:00:59 35954.305600 38765.934700 02-Jul-2019 00:01:59 35954.386000 38766.016800 02-Jul-2019 00:02:59 35954.578500 38766.229000 02-Jul-2019 00:03:59 35954.736700 38766.413100 02-Jul-2019 00:04:59 35954.838300 38766.507200 02-Jul-2019 00:05:59 35954.890400 38766.551900 02-Jul-2019 00:06:59 35954.771200 38766.403900 02-Jul-2019 00:07:59 35954.848200 38766.441700 02-Jul-2019 00:08:59 35955.013500 38766.561300 02-Jul-2019 00:09:59 35954.993000 38766.542300 02-Jul-2019 00:10:59 35954.831500 38766.347700 02-Jul-2019 00:11:59 35954.676100 38766.132600 02-Jul-2019 00:12:59 35954.526800 38765.896900 02-Jul-2019 00:13:59 35954.521200 38765.831800 02-Jul-2019 00:14:59 35954.470700 38765.766300 02-Jul-2019 00:15:59 35954.460200 38765.737800 02-Jul-2019 00:16:59 35954.377500 38765.631200 02-Jul-2019 00:17:59 35954.277700 38765.520000 02-Jul-2019 00:18:59 35954.210300 38765.453800 02-Jul-2019 00:19:59 35954.196400 38765.444600 02-Jul-2019 00:20:59 35954.733400 38766.021200 02-Jul-2019 00:21:59 35955.014100 38766.356300 02-Jul-2019 00:22:59 35955.266000 38766.668400 02-Jul-2019 00:23:59 35955.051300 38766.443100 02-Jul-2019 00:24:59 35955.471700 38766.919000 02-Jul-2019 00:25:59 35955.639200 38767.115500 02-Jul-2019 00:26:59 35956.118600 38767.698400 02-Jul-2019 00:27:59 35956.539000 38768.181900 02-Jul-2019 00:28:59 35956.793600 38768.470300 02-Jul-2019 00:29:59 35957.344400 38769.112000 02-Jul-2019 00:30:59 35957.423100 38769.244900 02-Jul-2019 00:31:59 35957.469200 38769.347500 02-Jul-2019 00:32:59 35957.843200 38769.784000 02-Jul-2019 00:33:59 35957.955300 38769.989000 02-Jul-2019 00:34:59 35958.139600 38770.204700 02-Jul-2019 00:35:59 35958.248300 38770.316800 02-Jul-2019 00:36:59 35958.339200 38770.427300 02-Jul-2019 00:37:59 35958.561700 38770.682200 02-Jul-2019 00:38:59 35958.667100 38770.839900 02-Jul-2019 00:39:59 35958.806900 38771.033100 02-Jul-2019 00:40:59 35959.193600 38771.503900 02-Jul-2019 00:41:59 35959.223100 38771.561200 02-Jul-2019 00:42:59 35959.531100 38771.932800 02-Jul-2019 00:43:59 35959.556800 38772.031400 02-Jul-2019 00:44:59 35959.541300 38772.017100 02-Jul-2019 00:45:59 35959.268900 38771.704600 02-Jul-2019 00:46:59 35959.271700 38771.673600 02-Jul-2019 00:47:59 35959.519700 38771.911000 02-Jul-2019 00:48:59 35959.660000 38772.067300 02-Jul-2019 00:49:59 35959.694900 38772.095900 02-Jul-2019 00:50:59 35959.824100 38772.260700 02-Jul-2019 00:51:59 35959.997800 38772.485300 02-Jul-2019 00:52:59 35960.123200 38772.661400 02-Jul-2019 00:53:59 35960.454400 38773.032200 02-Jul-2019 00:54:59 35961.068500 38773.740000 02-Jul-2019 00:55:59 35961.087300 38773.809900 02-Jul-2019 00:56:59 35961.297500 38774.049700 02-Jul-2019 00:57:59 35961.518900 38774.314800 02-Jul-2019 00:58:59 35961.856200 38774.713700 02-Jul-2019 00:59:59 35962.078100 38774.971900 02-Jul-2019 01:00:59 35962.402100 38775.343400 02-Jul-2019 01:01:59 35962.597300 38775.543100 02-Jul-2019 01:02:59 35963.150800 38776.135000 02-Jul-2019 01:03:59 35963.683300 38776.767300 02-Jul-2019 01:04:59 35964.209200 38777.404600 02-Jul-2019 01:05:59 35964.730700 38778.007800 02-Jul-2019 01:06:59 35965.197700 38778.523200 02-Jul-2019 01:07:59 35965.416200 38778.819400 02-Jul-2019 01:08:59 35965.552200 38778.997900 02-Jul-2019 01:09:59 35965.810700 38779.248800 02-Jul-2019 01:10:59 35965.974200 38779.374300 02-Jul-2019 01:11:59 35966.189400 38779.555200 02-Jul-2019 01:12:59 35966.440500 38779.788100 02-Jul-2019 01:13:59 35966.650100 38779.956300 02-Jul-2019 01:14:59 35966.830200 38780.104700 02-Jul-2019 01:15:59 35966.784000 38779.975800 02-Jul-2019 01:16:59 35967.262600 38780.434600 02-Jul-2019 01:17:59 35967.883200 38781.077500 02-Jul-2019 01:18:59 35968.162600 38781.374000 02-Jul-2019 01:19:59 35968.575200 38781.816500 02-Jul-2019 01:20:59 35969.089900 38782.368700 02-Jul-2019 01:21:59 35969.557400 38782.862100 02-Jul-2019 01:22:59 35969.937200 38783.281700 02-Jul-2019 01:23:59 35970.176300 38783.548300 02-Jul-2019 01:24:59 35970.300500 38783.674700 02-Jul-2019 01:25:59 35970.590500 38783.924900 02-Jul-2019 01:26:59 35970.738400 38784.028500 02-Jul-2019 01:27:59 35970.683900 38783.903200 02-Jul-2019 01:28:59 35970.553900 38783.655500 02-Jul-2019 01:29:59 35970.739000 38783.744900 02-Jul-2019 01:30:59 35970.900800 38783.831400 02-Jul-2019 01:31:59 35970.963900 38783.837500 02-Jul-2019 01:32:59 35971.266000 38784.087800 02-Jul-2019 01:33:59 35971.639100 38784.448900 02-Jul-2019 01:34:59 35971.984600 38784.791700 02-Jul-2019 01:35:59 35972.330000 38785.127000 02-Jul-2019 01:36:59 35972.458000 38785.253200 02-Jul-2019 01:37:59 35972.533900 38785.308600 02-Jul-2019 01:38:59 35972.370700 38785.086200 02-Jul-2019 01:39:59 35972.360600 38785.002100 02-Jul-2019 01:40:59 35972.393300 38784.991300 02-Jul-2019 01:41:59 35972.493100 38785.080100 02-Jul-2019 01:42:59 35972.515800 38785.037600 02-Jul-2019 01:43:59 35972.687100 38785.151600 02-Jul-2019 01:44:59 35972.713600 38785.094000 02-Jul-2019 01:45:59 35973.168900 38785.520000 02-Jul-2019 01:46:59 35973.397300 38785.780400 02-Jul-2019 01:47:59 35973.631900 38786.054100 02-Jul-2019 01:48:59 35973.803900 38786.265900 02-Jul-2019 01:49:59 35973.756200 38786.225500 02-Jul-2019 01:50:59 35973.582000 38785.989100 02-Jul-2019 01:51:59 35973.518700 38785.885600 02-Jul-2019 01:52:59 35973.648500 38786.006000 02-Jul-2019 01:53:59 35973.790000 38786.125900 02-Jul-2019 01:54:59 35973.863200 38786.182700 02-Jul-2019 01:55:59 35973.922100 38786.263400 02-Jul-2019 01:56:59 35973.932200 38786.261600 02-Jul-2019 01:57:59 35973.974900 38786.245100 02-Jul-2019 01:58:59 35974.270100 38786.537600 02-Jul-2019 01:59:59 35974.430400 38786.663800 02-Jul-2019 02:00:59 35974.644400 38786.828700 02-Jul-2019 02:01:59 35974.732600 38786.888100 02-Jul-2019 02:02:59 35974.661600 38786.777300 02-Jul-2019 02:03:59 35974.618900 38786.677900 02-Jul-2019 02:04:59 35974.701400 38786.690900 02-Jul-2019 02:05:59 35974.787900 38786.748700 02-Jul-2019 02:06:59 35974.773500 38786.671800 02-Jul-2019 02:07:59 35974.594200 38786.404600 02-Jul-2019 02:08:59 35974.326300 38786.036400 02-Jul-2019 02:09:59 35974.301800 38785.920300 02-Jul-2019 02:10:59 35974.226900 38785.753600 02-Jul-2019 02:11:59 35974.458700 38785.916300 02-Jul-2019 02:12:59 35974.609500 38786.018800 02-Jul-2019 02:13:59 35974.705400 38786.096500 02-Jul-2019 02:14:59 35974.785900 38786.167400 02-Jul-2019 02:15:59 35974.809700 38786.182100 02-Jul-2019 02:16:59 35974.829100 38786.162700 02-Jul-2019 02:17:59 35974.692600 38785.938900 02-Jul-2019 02:18:59 35974.654300 38785.791200 02-Jul-2019 02:19:59 35974.668700 38785.729800 02-Jul-2019 02:20:59 35974.697000 38785.707400 02-Jul-2019 02:21:59 35974.620400 38785.557900 02-Jul-2019 02:22:59 35974.632600 38785.528100 02-Jul-2019 02:23:59 35974.410700 38785.232600 02-Jul-2019 02:24:59 35974.182600 38784.886600 02-Jul-2019 02:25:59 35974.044500 38784.638800 02-Jul-2019 02:26:59 35973.798100 38784.283200 02-Jul-2019 02:27:59 35973.562900 38783.964100 02-Jul-2019 02:28:59 35973.361500 38783.695100 02-Jul-2019 02:29:59 35973.271100 38783.544000 02-Jul-2019 02:30:59 35973.138000 38783.342000 02-Jul-2019 02:31:59 35972.760700 38782.865100 02-Jul-2019 02:32:59 35972.655300 38782.703700 02-Jul-2019 02:33:59 35972.171000 38782.120000 02-Jul-2019 02:34:59 35971.620100 38781.437100 02-Jul-2019 02:35:59 35971.174000 38780.836500 02-Jul-2019 02:36:59 35970.810000 38780.345700 02-Jul-2019 02:37:59 35970.658000 38780.103700 02-Jul-2019 02:38:59 35970.566900 38779.948300 02-Jul-2019 02:39:59 35970.384900 38779.701000 02-Jul-2019 02:40:59 35970.142500 38779.435000 02-Jul-2019 02:41:59 35969.818500 38779.074700 02-Jul-2019 02:42:59 35969.560500 38778.756900 02-Jul-2019 02:43:59 35969.290300 38778.416600 02-Jul-2019 02:44:59 35969.297000 38778.415300 02-Jul-2019 02:45:59 35969.133900 38778.245300 02-Jul-2019 02:46:59 35968.869200 38777.955100 02-Jul-2019 02:47:59 35968.375500 38777.381200 02-Jul-2019 02:48:59 35968.070400 38777.027200 02-Jul-2019 02:49:59 35968.008200 38776.906000 02-Jul-2019 02:50:59 35967.931000 38776.797100 02-Jul-2019 02:51:59 35967.729600 38776.561700 02-Jul-2019 02:52:59 35967.650800 38776.469900 02-Jul-2019 02:53:59 35967.610800 38776.414100 02-Jul-2019 02:54:59 35967.632400 38776.434100 02-Jul-2019 02:55:59 35967.718300 38776.543700 02-Jul-2019 02:56:59 35967.713900 38776.569500 02-Jul-2019 02:57:59 35967.816500 38776.735700 02-Jul-2019 02:58:59 35967.894200 38776.897400 02-Jul-2019 02:59:59 35967.924200 38777.003700 02-Jul-2019 03:00:59 35967.950400 38777.117700 02-Jul-2019 03:01:59 35968.059800 38777.323800 02-Jul-2019 03:02:59 35968.189700 38777.534000 02-Jul-2019 03:03:59 35968.318500 38777.728200 02-Jul-2019 03:04:59 35968.174900 38777.613700 02-Jul-2019 03:05:59 35967.847800 38777.265400 02-Jul-2019 03:06:59 35967.436800 38776.787100 02-Jul-2019 03:07:59 35967.186100 38776.487300 02-Jul-2019 03:08:59 35967.015300 38776.265400 02-Jul-2019 03:09:59 35967.006000 38776.245500 02-Jul-2019 03:10:59 35967.188000 38776.433000 02-Jul-2019 03:11:59 35967.058900 38776.313200 02-Jul-2019 03:12:59 35966.928000 38776.165700 02-Jul-2019 03:13:59 35966.555300 38775.760200 02-Jul-2019 03:14:59 35966.351800 38775.511600 02-Jul-2019 03:15:59 35966.105500 38775.215900 02-Jul-2019 03:16:59 35965.909200 38774.977800 02-Jul-2019 03:17:59 35965.807200 38774.860700 02-Jul-2019 03:18:59 35965.606500 38774.629700 02-Jul-2019 03:19:59 35965.333100 38774.312600 02-Jul-2019 03:20:59 35965.180000 38774.110800 02-Jul-2019 03:21:59 35965.035300 38773.913000 02-Jul-2019 03:22:59 35964.940500 38773.795200 02-Jul-2019 03:23:59 35964.695300 38773.500600 02-Jul-2019 03:24:59 35964.458000 38773.194400 02-Jul-2019 03:25:59 35964.333700 38773.026900 02-Jul-2019 03:26:59 35964.065300 38772.684500 02-Jul-2019 03:27:59 35963.690900 38772.217700 02-Jul-2019 03:28:59 35963.236700 38771.691700 02-Jul-2019 03:29:59 35962.947700 38771.296600 02-Jul-2019 03:30:59 35962.822900 38771.102400 02-Jul-2019 03:31:59 35962.638800 38770.853200 02-Jul-2019 03:32:59 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02-Jul-2019 08:30:59 35929.103100 38736.365200 02-Jul-2019 08:31:59 35929.425000 38736.802000 02-Jul-2019 08:32:59 35929.648700 38737.144100 02-Jul-2019 08:33:59 35929.931200 38737.544400 02-Jul-2019 08:34:59 35930.275300 38738.020500 02-Jul-2019 08:35:59 35930.482000 38738.339300 02-Jul-2019 08:36:59 35930.781200 38738.755200 02-Jul-2019 08:37:59 35931.050000 38739.124100 02-Jul-2019 08:38:59 35931.128500 38739.286600 02-Jul-2019 08:39:59 35931.290300 38739.537600 02-Jul-2019 08:40:59 35931.599000 38739.924900 02-Jul-2019 08:41:59 35931.839000 38740.244600 02-Jul-2019 08:42:59 35932.006800 38740.475000 02-Jul-2019 08:43:59 35931.982900 38740.542500 02-Jul-2019 08:44:59 35931.904700 38740.541100 02-Jul-2019 08:45:59 35931.685600 38740.341600 02-Jul-2019 08:46:59 35931.593500 38740.226200 02-Jul-2019 08:47:59 35931.505700 38740.111200 02-Jul-2019 08:48:59 35931.440700 38740.024700 02-Jul-2019 08:49:59 35931.375700 38739.945700 02-Jul-2019 08:50:59 35931.440500 38740.005800 02-Jul-2019 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35932.683300 38741.637000 02-Jul-2019 09:13:59 35932.519500 38741.455200 02-Jul-2019 09:14:59 35932.536100 38741.459400 02-Jul-2019 09:15:59 35932.335900 38741.240000 02-Jul-2019 09:16:59 35932.277100 38741.170600 02-Jul-2019 09:17:59 35932.150100 38741.041600 02-Jul-2019 09:18:59 35931.965500 38740.840500 02-Jul-2019 09:19:59 35932.128700 38741.006700 02-Jul-2019 09:20:59 35932.134900 38741.034900 02-Jul-2019 09:21:59 35932.157100 38741.063000 02-Jul-2019 09:22:59 35932.077800 38740.952100 02-Jul-2019 09:23:59 35932.305200 38741.189100 02-Jul-2019 09:24:59 35932.323500 38741.213600 02-Jul-2019 09:25:59 35932.279600 38741.157900 02-Jul-2019 09:26:59 35932.222900 38741.082900 02-Jul-2019 09:27:59 35932.338100 38741.204700 02-Jul-2019 09:28:59 35932.295900 38741.173100 02-Jul-2019 09:29:59 35932.312500 38741.188400 02-Jul-2019 09:30:59 35932.356800 38741.233200 02-Jul-2019 09:31:59 35932.362800 38741.253800 02-Jul-2019 09:32:59 35932.381100 38741.289400 02-Jul-2019 09:33:59 35932.467500 38741.380800 02-Jul-2019 09:34:59 35932.470100 38741.383200 02-Jul-2019 09:35:59 35932.645900 38741.587400 02-Jul-2019 09:36:59 35932.841000 38741.831900 02-Jul-2019 09:37:59 35932.983400 38741.997600 02-Jul-2019 09:38:59 35933.107600 38742.150200 02-Jul-2019 09:39:59 35933.320400 38742.418600 02-Jul-2019 09:40:59 35933.514500 38742.665900 02-Jul-2019 09:41:59 35933.753900 38742.947700 02-Jul-2019 09:42:59 35933.922800 38743.160500 02-Jul-2019 09:43:59 35934.082900 38743.372600 02-Jul-2019 09:44:59 35934.234200 38743.572700 02-Jul-2019 09:45:59 35934.478700 38743.874200 02-Jul-2019 09:46:59 35934.501300 38743.943800 02-Jul-2019 09:47:59 35934.607700 38744.094800 02-Jul-2019 09:48:59 35934.798000 38744.349800 02-Jul-2019 09:49:59 35934.781400 38744.398000 02-Jul-2019 09:50:59 35934.693300 38744.342400 02-Jul-2019 09:51:59 35934.538600 38744.195200 02-Jul-2019 09:52:59 35934.332300 38743.962800 02-Jul-2019 09:53:59 35934.275800 38743.861800 02-Jul-2019 09:54:59 35934.229300 38743.796200 02-Jul-2019 09:55:59 35934.251000 38743.816300 02-Jul-2019 09:56:59 35934.483400 38744.069300 02-Jul-2019 09:57:59 35934.386400 38743.986800 02-Jul-2019 09:58:59 35934.323900 38743.943700 02-Jul-2019 09:59:59 35934.573100 38744.245900 02-Jul-2019 10:00:59 35934.425300 38744.120000 02-Jul-2019 10:01:59 35934.383600 38744.051500 02-Jul-2019 10:02:59 35934.552800 38744.215900 02-Jul-2019 10:03:59 35934.608700 38744.320100 02-Jul-2019 10:04:59 35934.689200 38744.435800 02-Jul-2019 10:05:59 35934.518300 38744.258600 02-Jul-2019 10:06:59 35934.604200 38744.308400 02-Jul-2019 10:07:59 35934.550900 38744.270200 02-Jul-2019 10:08:59 35934.721600 38744.406000 02-Jul-2019 10:09:59 35934.918400 38744.644700 02-Jul-2019 10:10:59 35935.068500 38744.769000 02-Jul-2019 10:11:59 35935.381600 38745.115400 02-Jul-2019 10:12:59 35935.922800 38745.737000 02-Jul-2019 10:13:59 35936.091400 38746.016800 02-Jul-2019 10:14:59 35936.083700 38746.088100 02-Jul-2019 10:15:59 35935.862500 38745.927900 02-Jul-2019 10:16:59 35935.769100 38745.886100 02-Jul-2019 10:17:59 35935.278000 38745.400700 02-Jul-2019 10:18:59 35935.161200 38745.225100 02-Jul-2019 10:19:59 35934.958000 38744.980500 02-Jul-2019 10:20:59 35934.742500 38744.705900 02-Jul-2019 10:21:59 35934.612900 38744.529600 02-Jul-2019 10:22:59 35934.472800 38744.354800 02-Jul-2019 10:23:59 35934.530100 38744.366800 02-Jul-2019 10:24:59 35934.440800 38744.246600 02-Jul-2019 10:25:59 35934.210000 38743.983900 02-Jul-2019 10:26:59 35934.049700 38743.760500 02-Jul-2019 10:27:59 35934.012600 38743.696200 02-Jul-2019 10:28:59 35934.035400 38743.702300 02-Jul-2019 10:29:59 35934.216600 38743.836800 02-Jul-2019 10:30:59 35934.582400 38744.194700 02-Jul-2019 10:31:59 35934.612500 38744.200200 02-Jul-2019 10:32:59 35935.065400 38744.691300 02-Jul-2019 10:33:59 35935.623300 38745.399400 02-Jul-2019 10:34:59 35935.533800 38745.376300 02-Jul-2019 10:35:59 35935.894800 38745.819400 02-Jul-2019 10:36:59 35935.804900 38745.807100 02-Jul-2019 10:37:59 35935.575300 38745.612800 02-Jul-2019 10:38:59 35935.436600 38745.488000 02-Jul-2019 10:39:59 35935.221500 38745.273500 02-Jul-2019 10:40:59 35935.349800 38745.422400 02-Jul-2019 10:41:59 35935.387100 38745.483200 02-Jul-2019 10:42:59 35935.526300 38745.608600 02-Jul-2019 10:43:59 35936.149100 38746.272200 02-Jul-2019 10:44:59 35936.429400 38746.689200 02-Jul-2019 10:45:59 35936.885800 38747.213500 02-Jul-2019 10:46:59 35937.255800 38747.691200 02-Jul-2019 10:47:59 35937.364700 38747.915600 02-Jul-2019 10:48:59 35937.262200 38747.884100 02-Jul-2019 10:49:59 35937.023400 38747.666300 02-Jul-2019 10:50:59 35936.958600 38747.591300 02-Jul-2019 10:51:59 35936.802800 38747.387000 02-Jul-2019 10:52:59 35936.860500 38747.388100 02-Jul-2019 10:53:59 35936.768300 38747.261500 02-Jul-2019 10:54:59 35936.790600 38747.270900 02-Jul-2019 10:55:59 35936.640800 38747.102100 02-Jul-2019 10:56:59 35936.592600 38747.038700 02-Jul-2019 10:57:59 35936.794500 38747.244700 02-Jul-2019 10:58:59 35937.167300 38747.672700 02-Jul-2019 10:59:59 35936.952800 38747.470000 02-Jul-2019 11:00:59 35936.999300 38747.483200 02-Jul-2019 11:01:59 35937.942100 38748.462300 02-Jul-2019 11:02:59 35937.721300 38748.321100 02-Jul-2019 11:03:59 35938.315900 38748.966000 02-Jul-2019 11:04:59 35938.237700 38748.960800 02-Jul-2019 11:05:59 35938.227100 38748.980900 02-Jul-2019 11:06:59 35938.159500 38748.933200 02-Jul-2019 11:07:59 35937.919900 38748.673500 02-Jul-2019 11:08:59 35937.814600 38748.542200 02-Jul-2019 11:09:59 35937.681400 38748.343900 02-Jul-2019 11:10:59 35937.779000 38748.408300 02-Jul-2019 11:11:59 35937.608900 38748.254200 02-Jul-2019 11:12:59 35937.661900 38748.329500 02-Jul-2019 11:13:59 35937.539400 38748.189800 02-Jul-2019 11:14:59 35937.596500 38748.182900 02-Jul-2019 11:15:59 35937.466500 38747.976300 02-Jul-2019 11:16:59 35937.425200 38747.870800 02-Jul-2019 11:17:59 35937.295400 38747.739200 02-Jul-2019 11:18:59 35937.314800 38747.745900 02-Jul-2019 11:19:59 35937.074700 38747.467100 02-Jul-2019 11:20:59 35937.004200 38747.341900 02-Jul-2019 11:21:59 35936.791700 38747.077500 02-Jul-2019 11:22:59 35936.698500 38746.946200 02-Jul-2019 11:23:59 35936.577500 38746.781700 02-Jul-2019 11:24:59 35936.515300 38746.682900 02-Jul-2019 11:25:59 35936.310600 38746.421900 02-Jul-2019 11:26:59 35936.232200 38746.281900 02-Jul-2019 11:27:59 35936.119300 38746.091300 02-Jul-2019 11:28:59 35936.060700 38745.958400 02-Jul-2019 11:29:59 35936.027800 38745.894200 02-Jul-2019 11:30:59 35935.849000 38745.691000 02-Jul-2019 11:31:59 35935.749500 38745.553800 02-Jul-2019 11:32:59 35935.722200 38745.513500 02-Jul-2019 11:33:59 35935.503100 38745.299100 02-Jul-2019 11:34:59 35935.197000 38744.974100 02-Jul-2019 11:35:59 35934.979600 38744.716400 02-Jul-2019 11:36:59 35934.811000 38744.507700 02-Jul-2019 11:37:59 35934.624700 38744.290000 02-Jul-2019 11:38:59 35934.283000 38743.864700 02-Jul-2019 11:39:59 35933.906200 38743.384400 02-Jul-2019 11:40:59 35933.463000 38742.846200 02-Jul-2019 11:41:59 35933.197700 38742.488000 02-Jul-2019 11:42:59 35933.054000 38742.253700 02-Jul-2019 11:43:59 35932.933100 38742.081800 02-Jul-2019 11:44:59 35932.925900 38742.067600 02-Jul-2019 11:45:59 35932.998100 38742.145800 02-Jul-2019 11:46:59 35932.925500 38742.100900 02-Jul-2019 11:47:59 35932.791400 38741.980300 02-Jul-2019 11:48:59 35932.809300 38742.000600 02-Jul-2019 11:49:59 35932.694600 38741.886800 02-Jul-2019 11:50:59 35932.639200 38741.835400 02-Jul-2019 11:51:59 35932.577800 38741.793400 02-Jul-2019 11:52:59 35932.401500 38741.596200 02-Jul-2019 11:53:59 35932.361600 38741.544200 02-Jul-2019 11:54:59 35932.332700 38741.502500 02-Jul-2019 11:55:59 35932.353800 38741.522100 02-Jul-2019 11:56:59 35932.379500 38741.579500 02-Jul-2019 11:57:59 35932.374600 38741.597400 02-Jul-2019 11:58:59 35932.328100 38741.573000 02-Jul-2019 11:59:59 35932.117300 38741.336300 02-Jul-2019 12:00:59 35932.264800 38741.469400 02-Jul-2019 12:01:59 35932.065600 38741.273500 02-Jul-2019 12:02:59 35931.948700 38741.161300 02-Jul-2019 12:03:59 35931.668600 38740.837900 02-Jul-2019 12:04:59 35931.435500 38740.543300 02-Jul-2019 12:05:59 35931.326600 38740.371200 02-Jul-2019 12:06:59 35931.332100 38740.350100 02-Jul-2019 12:07:59 35931.319800 38740.323800 02-Jul-2019 12:08:59 35931.099100 38740.085400 02-Jul-2019 12:09:59 35930.965300 38739.920200 02-Jul-2019 12:10:59 35931.007900 38739.929800 02-Jul-2019 12:11:59 35931.001700 38739.927800 02-Jul-2019 12:12:59 35931.131400 38740.081800 02-Jul-2019 12:13:59 35931.165900 38740.166100 02-Jul-2019 12:14:59 35931.290800 38740.330500 02-Jul-2019 12:15:59 35931.309700 38740.359200 02-Jul-2019 12:16:59 35931.289700 38740.363100 02-Jul-2019 12:17:59 35931.278000 38740.363500 02-Jul-2019 12:18:59 35931.259200 38740.338600 02-Jul-2019 12:19:59 35931.189300 38740.277500 02-Jul-2019 12:20:59 35931.077800 38740.166600 02-Jul-2019 12:21:59 35931.054600 38740.171300 02-Jul-2019 12:22:59 35930.943100 38740.034200 02-Jul-2019 12:23:59 35930.900900 38739.968900 02-Jul-2019 12:24:59 35930.995800 38740.090600 02-Jul-2019 12:25:59 35931.065700 38740.177800 02-Jul-2019 12:26:59 35931.246000 38740.389900 02-Jul-2019 12:27:59 35931.560600 38740.767700 02-Jul-2019 12:28:59 35932.021000 38741.306800 02-Jul-2019 12:29:59 35932.306000 38741.646000 02-Jul-2019 12:30:59 35932.542200 38741.951000 02-Jul-2019 12:31:59 35932.619800 38742.082800 02-Jul-2019 12:32:59 35932.525400 38742.017700 02-Jul-2019 12:33:59 35932.349100 38741.880400 02-Jul-2019 12:34:59 35932.090700 38741.592100 02-Jul-2019 12:35:59 35931.787200 38741.217100 02-Jul-2019 12:36:59 35931.407600 38740.741700 02-Jul-2019 12:37:59 35931.071300 38740.317700 02-Jul-2019 12:38:59 35930.866600 38740.038000 02-Jul-2019 12:39:59 35930.590800 38739.677500 02-Jul-2019 12:40:59 35930.403700 38739.421800 02-Jul-2019 12:41:59 35930.200100 38739.180600 02-Jul-2019 12:42:59 35930.131700 38739.057300 02-Jul-2019 12:43:59 35930.228100 38739.146800 02-Jul-2019 12:44:59 35930.188800 38739.117700 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35930.300300 38739.628700 02-Jul-2019 13:28:59 35930.119400 38739.431000 02-Jul-2019 13:29:59 35929.909800 38739.195500 02-Jul-2019 13:30:59 35929.801700 38739.084000 02-Jul-2019 13:31:59 35929.691300 38738.955400 02-Jul-2019 13:32:59 35929.482200 38738.705400 02-Jul-2019 13:33:59 35929.323600 38738.520900 02-Jul-2019 13:34:59 35929.236000 38738.402300 02-Jul-2019 13:35:59 35929.079600 38738.212400 02-Jul-2019 13:36:59 35928.932100 38738.045700 02-Jul-2019 13:37:59 35928.835700 38737.941300 02-Jul-2019 13:38:59 35928.746400 38737.821100 02-Jul-2019 13:39:59 35928.719200 38737.795900 02-Jul-2019 13:40:59 35928.620000 38737.666400 02-Jul-2019 13:41:59 35928.446300 38737.468000 02-Jul-2019 13:42:59 35928.315700 38737.279600 02-Jul-2019 13:43:59 35928.316100 38737.242500 02-Jul-2019 13:44:59 35928.289500 38737.251600 02-Jul-2019 13:45:59 35928.258500 38737.226500 02-Jul-2019 13:46:59 35928.307300 38737.290400 02-Jul-2019 13:47:59 35928.422200 38737.456800 02-Jul-2019 13:48:59 35928.631500 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02-Jul-2019 14:10:59 35927.092000 38735.954000 02-Jul-2019 14:11:59 35927.047600 38735.897800 02-Jul-2019 14:12:59 35926.957100 38735.821400 02-Jul-2019 14:13:59 35926.983700 38735.853500 02-Jul-2019 14:14:59 35927.255300 38736.157800 02-Jul-2019 14:15:59 35927.568800 38736.542000 02-Jul-2019 14:16:59 35927.768500 38736.854300 02-Jul-2019 14:17:59 35927.927300 38737.076300 02-Jul-2019 14:18:59 35928.397100 38737.646700 02-Jul-2019 14:19:59 35928.670600 38737.997600 02-Jul-2019 14:20:59 35928.860300 38738.244500 02-Jul-2019 14:21:59 35929.000700 38738.438300 02-Jul-2019 14:22:59 35929.259700 38738.764500 02-Jul-2019 14:23:59 35929.290200 38738.830200 02-Jul-2019 14:24:59 35929.191500 38738.734900 02-Jul-2019 14:25:59 35928.918500 38738.436900 02-Jul-2019 14:26:59 35928.640100 38738.126300 02-Jul-2019 14:27:59 35928.220200 38737.639600 02-Jul-2019 14:28:59 35927.927900 38737.271300 02-Jul-2019 14:29:59 35927.722500 38736.983600 02-Jul-2019 14:30:59 35927.583700 38736.765100 02-Jul-2019 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35926.240900 38735.291700 02-Jul-2019 14:53:59 35926.159900 38735.212800 02-Jul-2019 14:54:59 35926.102300 38735.185500 02-Jul-2019 14:55:59 35926.117400 38735.233200 02-Jul-2019 14:56:59 35926.114200 38735.256400 02-Jul-2019 14:57:59 35926.010600 38735.171500 02-Jul-2019 14:58:59 35926.049600 38735.226400 02-Jul-2019 14:59:59 35926.108000 38735.310400 02-Jul-2019 15:00:59 35926.192900 38735.415400 02-Jul-2019 15:01:59 35926.397700 38735.653900 02-Jul-2019 15:02:59 35926.689500 38736.003100 02-Jul-2019 15:03:59 35927.061700 38736.438100 02-Jul-2019 15:04:59 35927.283100 38736.744300 02-Jul-2019 15:05:59 35927.461100 38736.987900 02-Jul-2019 15:06:59 35927.435500 38736.975400 02-Jul-2019 15:07:59 35927.434900 38737.004800 02-Jul-2019 15:08:59 35927.453200 38737.032900 02-Jul-2019 15:09:59 35927.510300 38737.100800 02-Jul-2019 15:10:59 35927.449200 38737.044200 02-Jul-2019 15:11:59 35927.367600 38736.953600 02-Jul-2019 15:12:59 35927.311700 38736.905400 02-Jul-2019 15:13:59 35927.217000 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02-Jul-2019 15:35:59 35927.227300 38736.883300 02-Jul-2019 15:36:59 35927.023700 38736.657000 02-Jul-2019 15:37:59 35926.834900 38736.414600 02-Jul-2019 15:38:59 35926.659000 38736.195400 02-Jul-2019 15:39:59 35926.612200 38736.118400 02-Jul-2019 15:40:59 35926.591100 38736.106300 02-Jul-2019 15:41:59 35926.558900 38736.076400 02-Jul-2019 15:42:59 35926.557800 38736.071600 02-Jul-2019 15:43:59 35926.592600 38736.096500 02-Jul-2019 15:44:59 35926.485100 38736.022900 02-Jul-2019 15:45:59 35926.522200 38736.046100 02-Jul-2019 15:46:59 35926.490000 38736.005000 02-Jul-2019 15:47:59 35926.463800 38735.962000 02-Jul-2019 15:48:59 35926.597300 38736.104600 02-Jul-2019 15:49:59 35926.562900 38736.098700 02-Jul-2019 15:50:59 35926.631100 38736.180700 02-Jul-2019 15:51:59 35926.600500 38736.174800 02-Jul-2019 15:52:59 35926.609000 38736.216300 02-Jul-2019 15:53:59 35926.438400 38736.076700 02-Jul-2019 15:54:59 35926.470800 38736.155400 02-Jul-2019 15:55:59 35926.376800 38736.098200 02-Jul-2019 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35926.861800 38736.828400 02-Jul-2019 16:18:59 35926.939600 38736.923000 02-Jul-2019 16:19:59 35927.045100 38737.039600 02-Jul-2019 16:20:59 35927.122900 38737.145400 02-Jul-2019 16:21:59 35927.151400 38737.205400 02-Jul-2019 16:22:59 35927.188100 38737.262000 02-Jul-2019 16:23:59 35927.234300 38737.308500 02-Jul-2019 16:24:59 35927.214300 38737.271300 02-Jul-2019 16:25:59 35927.223200 38737.272000 02-Jul-2019 16:26:59 35927.381200 38737.422300 02-Jul-2019 16:27:59 35927.707800 38737.762700 02-Jul-2019 16:28:59 35927.956300 38738.060400 02-Jul-2019 16:29:59 35928.129400 38738.307000 02-Jul-2019 16:30:59 35928.332500 38738.570100 02-Jul-2019 16:31:59 35928.437800 38738.690200 02-Jul-2019 16:32:59 35928.532600 38738.800500 02-Jul-2019 16:33:59 35928.607900 38738.896600 02-Jul-2019 16:34:59 35928.682300 38739.029200 02-Jul-2019 16:35:59 35928.721900 38739.118200 02-Jul-2019 16:36:59 35928.808000 38739.231700 02-Jul-2019 16:37:59 35928.870200 38739.296900 02-Jul-2019 16:38:59 35928.928900 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02-Jul-2019 17:00:59 35927.770600 38737.959200 02-Jul-2019 17:01:59 35927.645300 38737.794400 02-Jul-2019 17:02:59 35927.438500 38737.554000 02-Jul-2019 17:03:59 35927.344300 38737.440500 02-Jul-2019 17:04:59 35927.324000 38737.425400 02-Jul-2019 17:05:59 35927.323700 38737.421300 02-Jul-2019 17:06:59 35927.201800 38737.285900 02-Jul-2019 17:07:59 35927.140400 38737.225200 02-Jul-2019 17:08:59 35927.081900 38737.182100 02-Jul-2019 17:09:59 35927.145400 38737.293400 02-Jul-2019 17:10:59 35927.278800 38737.458300 02-Jul-2019 17:11:59 35927.357800 38737.550200 02-Jul-2019 17:12:59 35927.388500 38737.612400 02-Jul-2019 17:13:59 35927.423200 38737.689400 02-Jul-2019 17:14:59 35927.555000 38737.849000 02-Jul-2019 17:15:59 35927.644500 38737.969400 02-Jul-2019 17:16:59 35927.755100 38738.131800 02-Jul-2019 17:17:59 35927.710300 38738.064100 02-Jul-2019 17:18:59 35927.821800 38738.190000 02-Jul-2019 17:19:59 35928.024300 38738.404000 02-Jul-2019 17:20:59 35928.196900 38738.605100 02-Jul-2019 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02-Jul-2019 19:50:59 35940.637500 38752.540200 02-Jul-2019 19:51:59 35940.563600 38752.441800 02-Jul-2019 19:52:59 35940.628400 38752.483100 02-Jul-2019 19:53:59 35940.778700 38752.656200 02-Jul-2019 19:54:59 35940.853700 38752.751900 02-Jul-2019 19:55:59 35940.955500 38752.913700 02-Jul-2019 19:56:59 35941.128900 38753.145500 02-Jul-2019 19:57:59 35941.291200 38753.352100 02-Jul-2019 19:58:59 35941.308000 38753.371400 02-Jul-2019 19:59:59 35941.353000 38753.405700 02-Jul-2019 20:00:59 35941.413500 38753.443100 02-Jul-2019 20:01:59 35941.491700 38753.500700 02-Jul-2019 20:02:59 35941.458900 38753.432800 02-Jul-2019 20:03:59 35941.413800 38753.338700 02-Jul-2019 20:04:59 35941.428700 38753.307600 02-Jul-2019 20:05:59 35941.368200 38753.225300 02-Jul-2019 20:06:59 35941.160200 38752.976400 02-Jul-2019 20:07:59 35940.978800 38752.740800 02-Jul-2019 20:08:59 35940.851300 38752.566500 02-Jul-2019 20:09:59 35940.595100 38752.246600 02-Jul-2019 20:10:59 35940.437100 38752.017800 02-Jul-2019 20:11:59 35940.708900 38752.269900 02-Jul-2019 20:12:59 35941.197300 38752.808800 02-Jul-2019 20:13:59 35941.576300 38753.268800 02-Jul-2019 20:14:59 35941.786800 38753.553800 02-Jul-2019 20:15:59 35941.959600 38753.815000 02-Jul-2019 20:16:59 35942.046600 38753.963000 02-Jul-2019 20:17:59 35942.042500 38753.977900 02-Jul-2019 20:18:59 35942.047300 38753.997300 02-Jul-2019 20:19:59 35942.081500 38754.021600 02-Jul-2019 20:20:59 35942.202700 38754.152700 02-Jul-2019 20:21:59 35942.352200 38754.295000 02-Jul-2019 20:22:59 35942.451700 38754.391100 02-Jul-2019 20:23:59 35942.480800 38754.414300 02-Jul-2019 20:24:59 35942.545300 38754.459100 02-Jul-2019 20:25:59 35942.739500 38754.639300 02-Jul-2019 20:26:59 35942.835000 38754.742800 02-Jul-2019 20:27:59 35942.951700 38754.877200 02-Jul-2019 20:28:59 35943.070600 38755.009900 02-Jul-2019 20:29:59 35943.197800 38755.154100 02-Jul-2019 20:30:59 35943.332800 38755.297900 02-Jul-2019 20:31:59 35943.478200 38755.447800 02-Jul-2019 20:32:59 35943.536400 38755.475600 02-Jul-2019 20:33:59 35943.695600 38755.626900 02-Jul-2019 20:34:59 35943.848800 38755.825100 02-Jul-2019 20:35:59 35943.953700 38755.963600 02-Jul-2019 20:36:59 35943.967100 38755.983500 02-Jul-2019 20:37:59 35943.995900 38755.991500 02-Jul-2019 20:38:59 35944.034200 38756.012000 02-Jul-2019 20:39:59 35944.084600 38756.055100 02-Jul-2019 20:40:59 35944.167400 38756.116900 02-Jul-2019 20:41:59 35944.377000 38756.333700 02-Jul-2019 20:42:59 35944.687100 38756.666200 02-Jul-2019 20:43:59 35944.879600 38756.867200 02-Jul-2019 20:44:59 35945.081600 38757.099400 02-Jul-2019 20:45:59 35945.291800 38757.316800 02-Jul-2019 20:46:59 35945.542000 38757.586200 02-Jul-2019 20:47:59 35945.733400 38757.801100 02-Jul-2019 20:48:59 35945.884300 38757.959700 02-Jul-2019 20:49:59 35946.175500 38758.278500 02-Jul-2019 20:50:59 35946.448500 38758.580300 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...
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.
@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... /.\ /.\ /.\
@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...
@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.

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More Answers (1)

dpb
dpb on 13 Aug 2021
Edited: dpb on 13 Aug 2021
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.

2 Comments

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^^
" 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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