I have an excel file 'Bool1.xlsx' with sheets named: 'Sheets1', 'Sheets2'.
Sheet1 has information of following sort:
Month Val1 Val2
1-Feb-14 (1.17) (13.18)
1-Apr-14 (1.12) (195.39)
Total (3.08) (180,501.38)
Sheet2 has infomation of sort:
Month Val1 Val2
1-Feb-14 (3.17) (17.18)
1-Apr-14 (2.12) (15.39)
Total (3) (10,51.38)
I want to create a Sheet 3 which pulls information from Sheet 1 and Sheet 2 and adds a column at the end like:
Month Val1 Val2 Source
1-Feb-14 (1.17) (013.18) Sheet1
1-Apr-14 (1.12) (195.39) Sheet1
1-Feb-14 (3.17) (17.18) Sheet2
1-Apr-14 (2.12) (15.39) Sheet2
If the sheets only that numerical values I don't find it hard to do it elegantly but with mixture of numerical and text values I am not able to do it in a clean manner. Any ideas guys ?
Edit:
I must achieve this in Matlab as this is part of another bigger piece of Matlab code that I am running.
Thanks
Have you tried xlsread?
So something like:
[~,~,Sheet1] = xlsread(myXLSfile, 'Sheet1');
[~,~,Sheet2] = xlsread(myXLSfile, 'Sheet2');
Sheet1(:, end+1) = {'Sheet1'};
Sheet2(:, end+1) = {'Sheet2'};
[Sheet1; Sheet2]
Related
I want do find and replace all in matlab (As we do in MS office).
https://www.dropbox.com/s/hxfqunjwhnvkl1f/matlab.mat?dl=0
I have a cell array LUT_HS_complete (contains identifier in column 1 and protein name in column 2 and summary in column 3) this is my look up table. on the other hand, I have my protein-protein interaction data (named Second_layer with identifiers in first two columns and the score in column 3).
I want to replace the first two columns in my Second_layer with the corresponding protein name from my look up table.
I tried strmatch, but that didn't help me.
Source_gene = Second_layer(:,1); Source_gene = regexprep(Source_gene,'[-/\s]','');
Target_gene = Second_layer(:,2); Target_gene = regexprep(Target_gene,'[-/\s]','');
Inter_score = Second_layer(:,3);
%%
for i=1:length(Source_gene(1:end,1));
SG = strmatch(Source_gene(i),LUT_HS_complete(1:end,1),'exact');
renamed_Source_gene(SG,1) = LUT_HS_complete(SG,2);
end
for j=1:length(Target_gene(1:end,1));
TG = strmatch(Target_gene(j),LUT_HS_complete(1:end,1),'exact');
renamed_Target_gene(TG,1) = LUT_HS_complete(TG,2);
end
If you could find a solution. It would be a great help.
Might this work for you?
renamed_Second_layer(:,1)=LUT_HS_complete(cellfun(#(x) find(strcmp(x,LUT_HS_complete(:,1))),Second_layer(:,1)),2);
renamed_Second_layer(:,2)=LUT_HS_complete(cellfun(#(x) find(strcmp(x,LUT_HS_complete(:,1))),Second_layer(:,2)),2);
renamed_Second_layer(:,3)=Second_layer(:,3);
I've produced a code which separates data within a text file into the required format, filters the data and averages the output (in this case, the value in the fourth column)
I am trying to filter the data in column one for a list of values at the same time, with no strict pattern for the values. e.g 1001, 1007, 1048, 1192, 1200 ....
Currently my code only filters by a certain value (1001) is there a way of incorporating a list of values into this function?
C_f = C(C(:,1) == 1001 , :);
Any help would be much appreciated!
See if this is what you want,
val = [1000 1001];
ind = ismember(C(:,1),val);
C_f = C(ind,:)
I have a worksheet that has ~20,000 rows of data. Each row has a Transaction Date in Column C. Each worksheet will only include data from the previous month. What I am trying to have happen, is to have a loop run through each date and make sure there are no missing dates, if there is a missing date, I need the loop to insert the missing date into a new row. I have found this online and have tried to customize it to my worksheet but cannot get it to work:
Dim i As Long: i = 1
'Adds missing dates as new rows
Do
If Cells(i + 1, "C") > Cells(i, "C") + 1 Then
Rows(i + 1).Insert xlShiftDown
Cells(i + 1, "C") = Cells(i, "C") + 1
End If
i = i + 1
Loop Until Cells(i + 1, "C") = ""
I have a bunch of different macros that format the data into a table and then sort it by the transaction date. I'm not sure if the table creates another issue or not but I can't seem to get it to work.
Any tips are greatly appreciated!
Starting with data that looks like this:
Run this code to loop through the dates bottom up and insert missing rows.
Sub insertMissingDate()
Dim wks As Worksheet
Set wks = Worksheets("Sheet1")
Dim lastRow As Long
lastRow = wks.Range("C2").End(xlDown).Row
'Work bottom up since we are inserting new rows
For i = lastRow To 3 Step -1
curcell = wks.Cells(i, 3).Value
prevcell = wks.Cells(i - 1, 3).Value
'Using a loop here allows us to bridge a gap of multiple missing dates
Do Until curcell - 1 = prevcell Or curcell = prevcell
'Insert new row
wks.Rows(i).Insert xlShiftDown
'Insert missing date into new row
curcell = wks.Cells(i + 1, 3) - 1
wks.Cells(i, 3).Value = curcell
Loop
Next i
End Sub
Results:
A note to anyone using this code- you have to have your date formatted so that in single digit months, (i.e. January- example "1/1/17") you have a zero in front of the month, making it two digit (i.e. 01/1/17). The code will not work unless you do this. There is a data type under "more data formats" on the home page of excel that will include zeros in front of a single digit month. Thanks for the code, it's helping me tremendously!
I'm looking for a function or solution to the following:
For the chart in SQL Reporting i need to multiply values from a Column A. For summation i would use =SUM(COLUMN_A) for the chart. But what can i use for multiplication - i was not able to find a solution so far?
Currently i am calculating the value of the stacked column as following:
=ROUND(SUM(Fields!Value_Is.Value)/SUM(Fields!StartValue.Value),3)
Instead of SUM i need something to multiply the values.
Something like that:
=ROUND(MULTIPLY(Fields!Value_Is.Value)/MULTIPLY(Fields!StartValue.Value),3)
EDIT #1
Okay tried to get this thing running.
The expression for the chart looks like this:
=Exp(Sum(Log(IIf(Fields!Menge_Ist.Value = 0, 10^-306, Fields!Menge_Ist.Value)))) / Exp(Sum(Log(IIf(Fields!Startmenge.Value = 0, 10^-306, Fields!Startmenge.Value))))
If i calculate my 'needs' manually i have to get the following result:
In my SQL Report i get the following result:
To make it easier, these are the raw values:
and you have the possibility to group the chart by CW, CQ or CY
(The values from the first pictures are aggregated Sum values from the raw values by FertStufe)
EDIT #2
Tried your expression, which results in this:
Just to make it clear:
The values in the column
=Value_IS / Start_Value
in the first picture are multiplied against each other
0,9947 x 1,0000 x 0,59401 = 0,58573
Diffusion Calenderweek 44 Sums
Startvalue: 1900,00 Value Is: 1890,00 == yield:0,99474
Waffer unbestrahlt Calenderweek 44 Sums
Startvalue: 620,00 Value Is: 620,00 == yield 1,0000
Pellet Calenderweek 44 Sums
Startvalue: 271,00 Value Is: 160,00 == yield 0,59041
yield Diffusion x yield Wafer x yield Pellet = needed Value in chart = 0,58730
EDIT #3
The raw values look like this:
The chart ist grouped - like in the image - on these fields
CY (Calendar year), CM (Calendar month), CW (Calendar week)
You can download the data as xls here:
https://www.dropbox.com/s/g0yrzo3330adgem/2013-01-17_data.xls
The expression i use (copy / past from the edit window)
=Exp(Sum(Log(Fields!Menge_Ist.Value / Fields!Startmenge.Value)))
I've exported the whole report result to excel, you can get it here:
https://www.dropbox.com/s/uogdh9ac2onuqh6/2013-01-17_report.xls
it's actually a workaround. But I am pretty sure is the only solution for this infamous problem :D
This is how I did:
Exp(∑(Log(X))), so what you should do is:
Exp(Sum(Log(Fields!YourField.Value)))
Who said math was worth nothing? =D
EDIT:
Corrected the formula.
By the way, it's tested.
Addressing Ian's concern:
Exp(Sum(Log(IIf(Fields!YourField.Value = 0, 10^-306, Fields!YourField.Value))))
The idea is change 0 with a very small number. Just an idea.
EDIT:
Based on your updated question this is what you should do:
Exp(Sum(Log(Fields!Value_IS.Value / Fields!Start_Value.Value)))
I just tested the above code and got the result you hoped for.
My data is in following format:
TABLE NUMBER 1
FILE: name_1
name_2
TIME name_3
day name_4
-0.01 0
364.99 35368.4
729.99 29307
1094.99 27309.5
1460.99 26058.8
1825.99 25100.4
2190.99 24364
2555.99 23757.1
2921.99 23240.8
3286.99 22785
3651.99 22376.8
4016.99 22006.1
4382.99 21664.7
4747.99 21348.3
5112.99 21052.5
5477.99 20774.1
5843.99 20509.9
6208.99 20259.7
6573.99 20021.3
6938.99 19793.5
7304.99 19576.6
TABLE NUMBER 2
FILE: name_1
name_5
TIME name_6
day name_7
-0.01 0
364.99 43110.4
729.99 37974.1
1094.99 36175.9
1460.99 34957.9
1825.99 34036.3
2190.99 33293.3
2555.99 32665.8
2921.99 32118.7
3286.99 31626.4
3651.99 31175.1
4016.99 30758
4382.99 30368.5
4747.99 30005.1
5112.99 29663
5477.99 29340
5843.99 29035.2
6208.99 28752.4
6573.99 28489.7
6938.99 28244.2
7304.99 28012.9
TABLE NUMBER 3
Till now I was splitting this data and reading the variables (time and name_i) from each file in following way:
[TIME(:,j), name_i(:,j)]=textread('filename','%f\t%f','headerlines',5);
But now I am producing the data of those files into 1 file as shown in beginning. For example I want to read and store TIME data in vectors TIME1, TIME2, TIME3, TIME4, TIME5 for name_3, name_6, _9 respectively, and similarly for others.
First of all, I suggest you don't use variable names such as TIME1,TIME2 etc, since that gets messy quickly. Instead, you can e.g. use a cell array with five rows (one for each well), and one or two columns. In the sample code below, wellData{2,1} is the time for the second well, wellData{2,2} is the corresponding Oil Rate SC - Yearly.
There might be more elegant ways to do the reading; here's something quick:
%# open the file
fid = fopen('Reportq.rwo');
%# read it into one big array, row by row
fileContents = textscan(fid,'%s','Delimiter','\n');
fileContents = fileContents{1};
fclose(fid); %# don't forget to close the file again
%# find rows containing TABLE NUMBER
wellStarts = strmatch('TABLE NUMBER',fileContents);
nWells = length(wellStarts);
%# loop through the wells and read the numeric data
wellData = cell(nWells,2);
wellStarts = [wellStarts;length(fileContents)];
for w = 1:nWells
%# read lines containing numbers
tmp = fileContents(wellStarts(w)+5:wellStarts(w+1)-1);
%# convert strings to numbers
tmp = cellfun(#str2num,tmp,'uniformOutput',false);
%# catenate array
tmp = cat(1,tmp{:});
%# assign output
wellData(w,:) = mat2cell(tmp,size(tmp,1),[1,1]);
end