How to create an excel file with multiple sheets using Julia? - excel

I'm programing in Julia and trying to create an excel file with multiple sheets for saving some data. The problem is that the function XLSX.openxlsx() only creates excels with one sheet.
I'm trying to run the following code.
XLSX.openxlsx("test_file.xlsx", mode="w") do xf
sheet = xf[1]
XLSX.rename!("first")
sheet["A1"] = "A"
sheet = xf[2]
XLSX.rename!("second")
sheet["A1"] = "B"
sheet = xf[3]
XLSX.rename!("third")
sheet["A1"] = "C"
end
Does anyone know how to create excel files with multiple sheets? or maybe create new sheets in an existing file?

XLSX.addsheet! is what you're looking for.
XLSX.openxlsx("test_file.xlsx", mode="w") do xf
XLSX.rename!(xf[1], "first")
for sheetname in ["second", "third", "fourth"]
XLSX.addsheet!(xf, sheetname)
end
xf[1]["A1"] = "A"
xf[2]["A1"] = "B"
xf[3]["A1"] = "C"
# ...
end

writetable accepts several worksheets as keyword arguments. Hence, I usually use a one-liner to export all data frames to an Excel file. I also definitely recommend to create a DataFrame, manipulate it and finally save to Excel as the DataFrames API is obviously more convenient than XLSX API for data manipulation.
See the code below:
using DataFrames, XLSX
df1 = DataFrame(a=1:5, b=string.("Hello",1:5), c=6.5:10.5)
df2 = DataFrame(a=1:5, d=[11,22,33,missing,missing] )
XLSX.writetable("dfs.xlsx", overwrite=true,
WORKSHEET_A=(collect(DataFrames.eachcol(df1)), DataFrames.names(df1)),
WORKSHEET_B=(collect(DataFrames.eachcol(df2)), DataFrames.names(df2)),
#add more data frames when needed
)

Related

Table Segmentation,Data Reduction, Sorting And Writing in MATLAB/EXCEL

I would like to do a data reduction operation on a spreadsheet. Preferably I would like to use MATLAB/(or excel) since I need separate output files for each case.
The link is for the spreadsheet is below
Spreadsheet
A screenshot of the spreadsheet is as below
The output I required in text files is something as below
The first sheet in the .xls file is the main input. Wheras the the following sheets (d**) are my required output. I also need these sheets in a separate ASCII file (.dat) to plot hem later on. Here is how the algorithm works
Lookup the number/string in column B(FileName)
Extract all data in Columns C and D (Saturation and ETC) with same FileName Value(Column B)
Lookup the matching FileName(Column B) value in Column E (ImageIndex).
Copy Value of ImageName(Column F) to the corresponding Value in Image(IndexColumn E)
Result would be three columns (ImageName,Saturation,ETC). ImageName would be same for each subcase
Sort the columns based on Saturation
Write each sub case as a separate .dat file
I tried using a few recipes using categorical arrays (findgroups and splitapply) in MATLAB. Didn't seem to work out for me. I would be later working on a larger data set so automation is necessary. I think this could be done using macros on excel, but I would prefer using MATLAB since I would use MATLAB to plot the data. Any other alternative suggestions are welcome
Thanks,
Here's a Matlab solution. You could do it with a rather convoluted accumarray call, but readability would be rather bad, so I'm opting for a loop here.
out is a structure which you can use to either write files, or to plot the data.
tbl = readtable('yourFile.xls');
%# get the group indices for the files
%# this assumes that you have cleaned up the dash after the 1
%# so that all of the entries in the FileName column are numeric
idx = tbl.FileName;
%# the uIdx business is to account for the possibility
%# that there are images missing from the sequence
uIdx = unique(idx);
nImages = length(uIdx);
%# preassign output structure
out(1:nImages) = struct('name','','saturation',0,'etc',0);
%# loop to extract relevant information
for iImage = uIdx(:)'
myIdx = idx==iImage;
data = tbl(myIdx,{'Saturation','ETC'});
data = sortrows(data,'Saturation');
name = tbl.ImageName{tbl.ImageIdx==iImage};
out(iImage==uIdx).name = name;
out(iImage==uIdx).saturation = data.Saturation;
out(iImage==uIdx).etc= data.ETC;
end
%# plotting
for iImage = 1:nImages
figure('name',out(iImage).name)
plot(out(iImage).saturation, out(iImage).etc,'.');
end

importing several text files into excel spreadsheet using matlab

I have several text files with 2 columns, containing only numbers which i would like to import into a single Excel spreadsheet (Excel 2016) using matlab. Reason for using matlab (R2014a) is because i later have scripts that process the data as well as its the only progaming language i am mildly familiar with.
I tried to use the following
Using matlab to save a 100 text files to a one excel file but into different spread sheet?
but i just couldnt understand anything as I am a newbie and this example I think is for making several excel files while I want only one. Thanks for the help! Greatly appreciated.
content = dir();
col = 1;
for i = 1:10
if content(i).isdir ~= 1
fileID = fopen('AN050ME.ASC');
data = textscan(fileID, '%s %s');
fclose(fileID);
datum(:, col) = data{1};
col = col + 1;
datum(:, col) = data{2};
col = col + 1;
clear data;
end
end
filename = 'Datum.xls';
sheet=1;
xlswrite(filename, datum, sheet, 'A1');
close all;
This is basic working algorithm, you need to further work on it to optimize it for speeed
Hints:
1. pre-declare the size of datum, based of number of files.
2. if all the files you have to read are of same extension, read only
them through dir()
Good luck for fine tuning

Working with Excel sheets in MATLAB

I need to import some Excel files in MATLAB and work on them. My problem is that each Excel file has 15 sheets and I don't know how to "number" each sheet so that I can make a loop or something similar (because I need to find the average on a certain column on each sheet).
I have already tried importing the data and building a loop but MATLAB registers the sheets as chars.
Use xlsinfo to get the sheet names, then use xlsread in a loop.
[status,sheets,xlFormat] = xlsfinfo(filename);
for sheetindex=1:numel(sheets)
[num,txt,raw]=xlsread(filename,sheets{sheetindex});
data{sheetindex}=num; %keep for example the numeric data to process it later outside the loop.
end
I 've just remembered that i posted this question almost 2 years ago, and since I figured it out, I thought that posting the answer could prove useful to someone in the future.
So to recap; I needed to import a single column from 4 excel files, with each file containing 15 worksheets. The columns were of variable lengths. I figured out two ways to do this. The first one is by using the xlsread function with the following syntax.
for count_p = 1:2
a = sprintf('control_group_%d.xls',count_p);
[status,sheets,xlFormat] = xlsfinfo(a);
for sheetindex=1:numel(sheets)
[num,txt,raw]=xlsread(a,sheets{sheetindex},'','basic');
data{sheetindex}=num;
FifthCol{count_p,sheetindex} = (data{sheetindex}(:,5));
end
end
for count_p = 3:4
a = sprintf('exercise_group_%d.xls',(count_p-2));
[status,sheets,xlFormat] = xlsfinfo(a);
for sheetindex=1:numel(sheets)
[num,txt,raw]=xlsread(a,sheets{sheetindex},'','basic');
data{sheetindex}=num;
FifthCol{count_p,sheetindex} = (data{sheetindex}(:,5));
end
end
The files where obviously named control_group_1, control_group_2 etc. I used the 'basic' input in xlsread, because I only needed the raw data from the files, and it proved to be much faster than using the full functionality of the function.
The second way to import the data, and the one that i ended up using, is building your own activeX server and running a single excelapplication on it. Xlsread "opens" and "closes" an activeX server each time it's called so it's rather time consuming (using the 'basic' input does not though). The code i used is the following.
Folder=cd(pwd); %getting the working directory
d = dir('*.xls'); %finding the xls files
N_File=numel(d); % Number of files
hexcel = actxserver ('Excel.Application'); %starting the activeX server
%and running an Excel
%Application on it
hexcel.DisplayAlerts = true;
for index = 1:N_File %Looping through the workbooks(xls files)
Wrkbk = hexcel.Workbooks.Open(fullfile(pwd, d(index).name)); %VBA
%functions
WorkName = Wrkbk.Name; %getting the workbook name %&commands
display(WorkName)
Sheets=Wrkbk.Sheets; %sheets handle
ShCo(index)=Wrkbk.Sheets.Count; %counting them for use in the next loop
for j = 1:ShCo(index) %looping through each sheet
itemm = hexcel.Sheets.Item(sprintf('sheet%d',j)); %VBA commands
itemm.Activate;
robj = itemm.Columns.End(4); %getting the column i needed
numrows = robj.row; %counting to the end of the column
dat_range = ['E1:E' num2str(numrows)]; %data range
rngObj = hexcel.Range(dat_range);
xldat{index, j} = cell2mat(rngObj.Value); %getting the data in a cell
end;
end
%invoke(hexcel);
Quit(hexcel);
delete(hexcel);

Matlab: writing multiple tables with cell2table

I would like to write multiple tables in a matlab for loop. As an input i use a excel file that contains multiple sheets. Yhe amount of sheets and the size of the data is not prefixed. The reading of this files goes right but once i save it to a table it overwrites the same table over and over again.
The clue would be a flexible name in the cell2table function. I have these names in sheetname (all) and Sheet (current). Does anyone has a suggestion?
[type,sheetname] = xlsfinfo('\Matlab\dienstregeling.xlsx');
m=size(sheetname,2);
for(i=1:m);
Sheet = char(sheetname(1,i));
[num, text, raw] = xlsread('\Matlab\dienstregeling.xlsx',Sheet);
test = cell2table(raw);
end
You could use a structure and generate the field names from the variable Sheet:
test = struct;
for(i=1:m);
Sheet = char(sheetname(1,i));
[num, text, raw] = xlsread('\Matlab\dienstregeling.xlsx',Sheet);
test.(Sheet) = cell2table(raw);
end

How to import lots of data into matlab from a spreadsheet?

I have an excel spreadsheet with lots of data that I want to import into matlab.
filename = 'for_matlab.xlsx';
sheet = (13*2)+ 1;
xlRange = 'A1:G6';
all_data = {'one_a', 'one_b', 'two_a', 'two_b', 'three_a', 'three_b', 'four_a', 'four_b', 'five_a', 'five_b', 'six_a', 'six_b', 'seven_a', 'seven_b', 'eight_a', 'eight_b', 'nine_a', 'nine_b', 'ten_a', 'ten_b', 'eleven_a', 'eleven_b', 'twelve_a', 'twelve_b', 'thirteen_a', 'thirteen_b', 'fourteen_a'};
%read data from excel spreadsheet
for i=1:sheet,
all_data{i} = xlsread(filename, sheet, xlRange);
end
Each element of the 'all_data' vector has a corresponding matrix in separate excel sheet. The code above imports the last matrix only into all of the variables. Could somebody tell me how to get it so I can import these matrices into individual matlab variables (without calling the xlsread function 28 times)?
You define a loop using i but then put sheet in the actual xlsread call, which will just make it read repeatedly from the same sheet (the value of the variable sheet is not changing). Also not sure whether you intend to somehow save the contents of all_data, as written there's no point in defining it that way as it will just be overwritten.
There are two ways of specifying the sheet using xlsread.
1) Using a number. If you intended this then:
all_data{i} = xlsread(filename, i, xlRange);
2) Using the name of the sheet. If you intended this and the contents of all_data are the names of sheets, then:
data{i} = xlsread(filename, all_data{i}, xlRange); %avoiding overwriting

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