I am having difficulty in reading data from a .txt file using Matlab.
I have to create a 200x128 dimension array in Matlab, using the data from the .txt file. This is a repetitive task, and needs automation.
Each row of the .txt file is a complex number of form a+ib, which is of form a[space]b. A sample of my text file :
Link to text file : Click Here
(0)
1.2 2.32222
2.12 3.113
.
.
.
3.2 2.22
(1)
4.4 3.4444
2.33 2.11
2.3 33.3
.
.
.
(2)
.
.
(3)
.
.
(199)
.
.
I have numbers of rows (X), inside the .txt file surrounded by brackets. My final matrix should be of size 200x128. After each (X), there are exactly 128 complex numbers.
Here is what I would do. First thing, delete the "(0)" types of lines from your text file (could even use a simple shells script for that). This I put into the file called post2.txt.
# First, load the text file into Matlab:
A = load('post2.txt');
# Create the imaginary numbers based on the two columns of data:
vals = A(:,1) + i*A(:,2);
# Then reshape the column of complex numbers into a matrix
mat = reshape(vals, [200,128]);
The mat will be a matrix of 200x128 complex data. Obviously at this point you can put a loop around this to do this multiple times.
Hope that helps.
You can read the data in using the following function:
function data = readData(aFilename, m,n)
% if no parameters were passed, use these as defaults:
if ~exist('aFilename', 'var')
m = 128;
n = 200;
aFilename = 'post.txt';
end
% init some stuff:
data= nan(n, m);
formatStr = [repmat('%f', 1, 2*m)];
% Read in the Data:
fid = fopen(aFilename);
for ind = 1:n
lineID = fgetl(fid);
dataLine = fscanf(fid, formatStr);
dataLineComplex = dataLine(1:2:end) + dataLine(2:2:end)*1i;
data(ind, :) = dataLineComplex;
end
fclose(fid);
(edit) This function can be improved by including the (1) parts in the format string and throwing them out:
function data = readData(aFilename, m,n)
% if no parameters were passed, use these as defaults:
if ~exist('aFilename', 'var')
m = 128;
n = 200;
aFilename = 'post.txt';
end
% init format stuff:
formatStr = ['(%*d)\n' repmat('%f%f\n', 1, m)];
% Read in the Data:
fid = fopen(aFilename);
data = fscanf(fid, formatStr);
data = data(1:2:end) + data(2:2:end)*1i;
data = reshape(data, n,m);
fclose(fid);
Related
I gave the error Error using readtable (line 216) Input must be a row vector of characters or string scalar when I tried to run this code in Matlab:
clear
close all
clc
D = 'C:\Users\Behzad\Desktop\New folder (2)';
filePattern = fullfile(D, '*.xlsx');
file = dir(filePattern);
x={};
for k = 1 : numel(file)
baseFileName = file(k).name;
fullFileName = fullfile(D, baseFileName);
x{k} = readtable(fullFileName);
fprintf('read file %s\n', fullFileName);
end
% allDates should be out of the loop because it's not necessary to be in the loop
dt1 = datetime([1982 01 01]);
dt2 = datetime([2018 12 31]);
allDates = (dt1 : calmonths(1) : dt2).';
allDates.Format = 'MM/dd/yyyy';
% 1) pre-allocate a cell array that will store
% your tables (see note #3)
T2 = cell(size(x)); % this should work, I don't know what x is
% the x is xlsx files and have different sizes, so I think it should be in
% a loop?
% creating loop
for idx = 1:numel(x)
T = readtable(x{idx});
% 2) This line should probably be T = readtable(x(idx));
sort = sortrows(T, 8);
selected_table = sort (:, 8:9);
tempTable = table(allDates(~ismember(allDates,selected_table.data)), NaN(sum(~ismember(allDates,selected_table.data)),size(selected_table,2)-1),'VariableNames',selected_table.Properties.VariableNames);
T2 = outerjoin(sort,tempTable,'MergeKeys', 1);
% 3) You're overwriting the variabe T2 on each iteration of the i-loop.
% to save each table, do this
T2{idx} = fillmissing(T2, 'next', 'DataVariables', {'lat', 'lon', 'station_elevation'});
end
the x is each xlsx file from the first loop. my xlsx file has a different column and row size. I want to make the second loop process for all my xlsx files in the directory.
did you know what is the problem? and how to fix it?
Readtable has one input argument, a filename. It returns a table. In your code you have the following:
x{k} = readtable(fullFileName);
All fine, you are reading the tables and storing the contents in x. Later in your code you continue with:
T = readtable(x{idx});
You already read the table, what you wrote is basically T = readtable(readtable(fullFileName)). Just use T=x{idx}
I am developing a user interface using matlab wich allows to browse and load a text file and display some curves. I am facing a problem, my file text is a set of decimal number, matlab is reading those number as two columns.
this is an exemple: u find here the file that I am working on:
After runing this code :
[filename pathname] = uigetfile({'*.txt'},'File Selector');
fullpathname = strcat(pathname,filename);
text = fileread(fullpathname); %reading information inside a file
set(handles.text6,'string',fullpathname)%showing full path name
set(handles.text7,'string',text)%showing information
loaddata = fullfile(pathname,filename);
xy = load(loaddata,'-ascii','%s');
t = xy(:,1);
i = xy(:,3);
handles.input1 = i;
handles.input2 = t;
axes(handles.axes1);
plot(handles.input1,handles.input2)
the curves looks so strenge, so I checked the result of xy= load(loaddata,'-ascii') using command window and here the problem appears!
So I have now 12 columns instead of 6 ! can u help me please?
I tried with strrep(data,',','.') but it doesnt work !
Since you are using commas, for your radix point, you will want to first load in the entire file as a string, replace the , with . and then you can use str2num to convert the entire file to a numeric array
% Read the entire file into memory
fid = fopen(loaddata, 'rb');
contents = fread(fid, '*char')';
fclose(fid);
% Replace `,` with `.`
contents = strrep(contents, ',', '.');
% Now convert to numbers
data = str2num(contents);
I have a huge sparse matrix a and I want to save it in a .csv. I can not call full(a) because I do not have enough ram memory. So, calling dlmwrite with full(a) argument is not possible. We must note that dlmwrite is not working with sparse formatted matrices.
The .csv format is depicted below. Note that the first row and column with the characters should be included in the .csv file. The semicolon in the (0,0) position of the .csv file is necessary too.
;A;B;C;D;E
A;0;1.5;0;1;0
B;2;0;0;0;0
C;0;0;1;0;0
D;0;2.1;0;1;0
E;0;0;0;0;0
Could you please help me to tackle this problem and finally save the sparse matrix in the desired form?
You can use csvwrite function:
csvwrite('matrix.csv',a)
You could do this iteratively, as follows:
A = sprand(20,30000,.1);
delimiter = ';';
filename = 'filecontaininghugematrix.csv';
dims = size(A);
N = max(dims);
% create names first
idx = 1:26;
alphabet = dec2base(9+idx,36);
n = ceil(log(N)/log(26));
q = 26.^(1:n);
names = cell(sum(q),1);
p = 0;
for ii = 1:n
temp = repmat({idx},ii,1);
names(p+(1:q(ii))) = num2cell(alphabet(fliplr(combvec(temp{:})')),2);
p = p + q(ii);
end
names(N+1:end) = [];
% formats for writing
headStr = repmat(['%s' delimiter],1,dims(2));
headStr = [delimiter headStr(1:end-1) '\n'];
lineStr = repmat(['%f' delimiter],1,dims(2));
lineStr = ['%s' delimiter lineStr(1:end-1) '\n'];
fid = fopen(filename,'w');
% write header
header = names(1:dims(2));
fprintf(fid,headStr,header{:});
% write matrix rows
for ii = 1:dims(1)
row = full(A(ii,:));
fprintf(fid, lineStr, names{ii}, row);
end
fclose(fid);
The names cell array is quite memory demanding for this example. I have no time to fix that now, so think about this part yourself if it is really a problem ;) Hint: just write the header element wise, first A;, then B; and so on. For the rows, you can create a function that maps the index ii to the desired character, in which case the complete first part is not necessary.
I have several files all named add_.txt with numbers from 1 -5 and I want to take the first line of information (a 1 by 5 matrix with all ones) from each file add them together, take this information and create a new text file with the result. Obviously the answer would simply be [5 5 5 5 5] but I would like to know how to program to get there.
Ive been able to teach myself how to "add" two data strings from the same document and create a text file with the answer with this code
fid=fopen('add.txt');
A = fgetl(fid);
AA = str2num(A)
B = fgets(fid);
BB = str2num(B)
C = AA + BB;
fclose(fid);
dlmwrite('results.txt', C)
but i do not know how to make the jump to automated calculations on a multi-file level, any help would be great.
Something like this should do the trick:
% List of file names
% (can be auto-generated like so: filename = ['add_' num2str(ii) '.txt']
% with ii your iteration variable)
filenames = {'add_1.txt', 'add_2.txt', 'add_3.txt', 'add_4.txt', 'add_5.txt'};
% If you know the size of the first line:
A = zeros(1,5);
% Loop through all filenames
for filename = filenames
fid = fopen(filename{1});
A = A + str2num( fgetl(fid) );%#ok
fclose(fid);
end
% Write results to file
dlmwrite('results.txt', A);
If you don't know beforehand how many elements there are in A, you'll have to modify the loop a little bit:
A = 0;
for filename = filenames
fid = fopen(filenames{1});
A = A + str2num( fgetl(fid) );%#ok
fclose(fid);
end
I'm trying to load the following ascii file into MATLAB using load()
% some comment
1 0xc661
2 0xd661
3 0xe661
(This is actually a simplified file. The actual file I'm trying to load contains an undefined number of columns and an undefined number of comment lines at the beginning, which is why the load function was attractive)
For some strange reason, I obtain the following:
K>> data = load('testMixed.txt')
data =
1 50785
2 58977
3 58977
I've observed that the problem occurs anytime there's a "d" in the hexadecimal number.
Direct hex2dec conversion works properly:
K>> hex2dec('d661')
ans =
54881
importdata seems to have the same conversion issue, and so does the ImportWizard:
K>> importdata('testMixed.txt')
ans =
1 50785
2 58977
3 58977
Is that a bug, am I using the load function in some prohibited way, or is there something obvious I'm overlooking?
Are there workarounds around the problem, save from reimplementing the file parsing on my own?
Edited my input file to better reflect my actual file format. I had a bit oversimplified in my original question.
"GOLF" ANSWER:
This starts with the answer from mtrw and shortens it further:
fid = fopen('testMixed.txt','rt');
data = textscan(fid,'%s','Delimiter','\n','MultipleDelimsAsOne','1',...
'CommentStyle','%');
fclose(fid);
data = strcat(data{1},{' '});
data = sscanf([data{:}],'%i',[sum(isspace(data{1})) inf]).';
PREVIOUS ANSWER:
My first thought was to use TEXTSCAN, since it has an option that allows you to ignore certain lines as comments when they start with a given character (like %). However, TEXTSCAN doesn't appear to handle numbers in hexadecimal format well. Here's another option:
fid = fopen('testMixed.txt','r'); % Open file
% First, read all the comment lines (lines that start with '%'):
comments = {};
position = 0;
nextLine = fgetl(fid); % Read the first line
while strcmp(nextLine(1),'%')
comments = [comments; {nextLine}]; % Collect the comments
position = ftell(fid); % Get the file pointer position
nextLine = fgetl(fid); % Read the next line
end
fseek(fid,position,-1); % Rewind to beginning of last line read
% Read numerical data:
nCol = sum(isspace(nextLine))+1; % Get the number of columns
data = fscanf(fid,'%i',[nCol inf]).'; % Note '%i' works for all integer formats
fclose(fid); % Close file
This will work for an arbitrary number of comments at the beginning of the file. The computation to get the number of columns was inspired by Jacob's answer.
New:
This is the best I could come up with. It should work for any number of comment lines and columns. You'll have to do the rest yourself if there are strings, etc.
% Define the characters representing the start of the commented line
% and the delimiter
COMMENT_START = '%%';
DELIMITER = ' ';
% Open the file
fid = fopen('testMixed.txt');
% Read each line till we reach the data
l = COMMENT_START;
while(l(1)==COMMENT_START)
l = fgetl(fid);
end
% Compute the number of columns
cols = sum(l==DELIMITER)+1;
% Split the first line
split_l = regexp(l,' ','split');
% Read all the data
A = textscan(fid,'%s');
% Compute the number of rows
rows = numel(A{:})/cols;
% Close the file
fclose(fid);
% Assemble all the data into a matrix of cell strings
DATA = [split_l ; reshape(A{:},[cols rows])']; %' adding this to make it pretty in SO
% Recognize each column and process accordingly
% by analyzing each element in the first row
numeric_data = zeros(size(DATA));
for i=1:cols
str = DATA(1,i);
% If there is no '0x' present
if isempty(findstr(str{1},'0x')) == true
% This is a number
numeric_data(:,i) = str2num(char(DATA(:,i)));
else
% This is a hexadecimal number
col = char(DATA(:,i));
numeric_data(:,i) = hex2dec(col(:,3:end));
end
end
% Display the data
format short g;
disp(numeric_data)
This works for data like this:
% Comment 1
% Comment 2
1.2 0xc661 10 0xa661
2 0xd661 20 0xb661
3 0xe661 30 0xc661
Output:
1.2 50785 10 42593
2 54881 20 46689
3 58977 30 50785
OLD:
Yeah, I don't think LOAD is the way to go. You could try:
a = char(importdata('testHexa.txt'));
a = hex2dec(a(:,3:end));
This is based on both gnovice's and Jacob's answers, and is a "best of breed"
For files like:
% this is my comment
% this is my other comment
1 0xc661 123
2 0xd661 456
% surprise comment
3 0xe661 789
4 0xb661 1234567
(where the number of columns within the file MUST be the same, but not known ahead of time, and all comments denoted by a '%' character), the following code is fast and easy to read:
f = fopen('hexdata.txt', 'rt');
A = textscan(f, '%s', 'Delimiter', '\n', 'MultipleDelimsAsOne', '1', 'CollectOutput', '1', 'CommentStyle', '%');
fclose(f);
A = A{1};
data = sscanf(A{1}, '%i')';
data = repmat(data, length(A), 1);
for ctr = 2:length(A)
data(ctr,:) = sscanf(A{ctr}, '%i')';
end