I have two columns in Excel. The first(column C) has cells with values, the second one(column B), I had used a script to extract some values from the first one with Excel formulas.
Now I want to use the values from the second column in another column and the script doesn't have any errors but gives me empty cells because the second column contains formulas.
Is it possible to paste values or to extract only the values from the second column?
Here is my code:
for i in range(0,len(listaunica)):
ws4.cell(row=i+1,column=3).value=listaunica[i]
for i in range(0,len(listaunica)):
ws4.cell(row=i+1,column=2).value='=iferror(find(".",C{0}),C{0})'.format(i+1)
Can someone help me with this?
I do not fully understand your situation, so I will explain some possibilities:
(1) You have an Excel workbook that was saved using Excel itself. In this case, column B should have both formulas and the results of those formulas, because Excel would have calculated them.
(2) You have an Excel workbook that was saved using some other method, such as being written by OpenPyXL, and has not (yet) been opened and saved by Excel. In this case, you most likely have either formulas or results stored in column B.
When you are reading using OpenPyXL, you have to choose whether you want formulas or results. This is controlled by the data_only parameter. Set this to True if you want just the results. If your workbook was saved in Excel, and thus has both formulas and results, then the way to read them both in OpenPyXL is to open the workbook twice, once with data_only=False and once with data_only=True. Cumbersome, but that is how OpenPyXL is designed.
If you have a workbook from scenario (2), and column B still looks like it has formulas, then most likely trying to open the workbook using data_only=True will just return zeros for column B. You won't be able to get the results from this workbook until you open it in Excel and then save it.
Try this
for i in range(0,len(listaunica)):
ws4.cell(row=i+1,column=3).value=listaunica[i]
for i in range(0,len(listaunica)):
ws4.cell(row=i+1,column=2).value='=iferror(find(".",C{0}),C{0})'.format(i+1)
ws4.cell(row=i+1,column=2).value = ws4.cell(row=i+1,column=2).value
For reference Does .Value = .Value act similar to Evaluate() function in VBA??
Related
I have an excel workbook that uses functions like OFFSET, UNIQUE, and FILTER which spill into other cells. I'm using python to analyze and write some data to the workbook, but after doing so these formulas revert into normal arrays. This means they now take up a fixed number of cells (however many they took up before opening the file in python) instead of adjusting to fit all of the data. I can revert the change by selecting the formula and hitting enter, but there are many of these formulas it's more work to fix them than to just print the data to a text file and paste it into excel manually. Is there any way to prevent this behavior?
I've been using openpyxl to open and save the workbook, but after encountering this issue also tried xlsxwriter and the dataframe to excel function from pandas. Both of them had the same issue as openpyxl. For context I am on python 3.11 and using the most recent version of these modules. I believe this issue is on the Python side and not the Excel side, so I don't think changing Excel settings will help, but maybe there is something there I missed.
Example:
I've created an empty workbook with two sheets, one called 'main' and one called 'input'. The 'main' sheet will analyze data from the 'input' sheet which will be entered with openpyxl. The data will just be values in the first column.
In cell A1 of the 'main' sheet, enter =OFFSET(input!A1,0,0,COUNTA(input!A:A),1).
This formula will just show a copy of the data. Since there currently isn't any data it gives a #REF! error, so it only takes up one cell.
Now I'll run the following python code to add the numbers 0-9 into the first column of the input sheet:
from openpyxl import load_workbook
wb = load_workbook('workbook.xlsx')
ws = wb['input']
for i in range(10):
ws.append([i])
wb.save('workbook_2.xlsx')
When opening the new file, cell A1 on the 'main' sheet only has the first value, 0, instead of the range 0--9. When selecting the cell, you can see the formula is now {=OFFSET(input!A1,0,0,COUNTA(input!A:A),1)}. The curly brackets make it an array, so it wont spill. By hitting enter in the formula the array is removed and the sheet properly becomes the full range.
If I can get this simple example to work, then expanding it to the data I'm using shouldn't be a problem.
In my code,
Samp_size
MSI
MRI
M_ASRS
a_h
d_h
a_v
d_v
max_hor_vel
max_ver_vel
These are randomly generated parameters above.Each can all take different numbers of values, lets say each has 2 different value.
I print them as dataframes to an excel file each in different sheets.(sheet1,sheet2 etc.)
So I have 2^10 different parameter set. How can I print the all the solutions for all this parameter set in order to an excel file?
It seems like you want to combine sheets into one single excel file, if so, the following post will solve your problem: Combine Multiple Excel sheets within Workbook into one sheet Python
The code from # And then append all the Workbooks into single Excel Workbook sheet will help.
When I click on the line between two rows in excel, I can autoexpand the column to the max length of any of it's rows:
When I create an Excel with xlsxwriter, is there any chance that I can prerender the excel to have all rows auto-expanded to this max-width?
I'm aware of set_column but it does not match my requirements, as you need to give it an absolute width.
This isn't possible since it isn't part of the file format. From the XlsxWriter FAQ:
Q. Is there an “AutoFit” option for columns?
Unfortunately, there is no way to specify “AutoFit” for a column in the Excel file format. This feature is only available at runtime from within Excel. It is possible to simulate “AutoFit” by tracking the width of the data in the column as your write it.
I found this on a related subject - Excel function to make SQL-like queries on worksheet data?
But I was wondering if there is any way to use an excel workbook/file like a function in a separate workbook/file? So I have an excel workbook that has a control page - where I can input parameters 1,2,3. And based on those parameter, the outpage page will display the correlating data. I know I can duplictae the output page to show the outputs for all three parameters and link these to my other workbook.
However, is there any way to (in the other excel file) do something like FILENAME_otherfile.function(1).range(A1) or something? to extract the cell A1 with parameter 1 as an input? And in the same file also call FILENAME_otherfile.function(2).range(A1)?
There is a very inelegant way of doing it, but we can keep the interface as pretty as possible.
Open the workbook with a Application.Workbooks.Open()
Set its attribute to Hidden for aesthetic reasons.
Say you want to manipulate cells on "Sheet1" then Set InputRange and OutputRange (cells where you'll see the outputs) to the appropriate ranges in the opened workbook.
Change InputRange.Cells(m,n).Value
Get into some variable what happens, for e.g.
Dim MyAnswer as Double
MyAnswer = OutputRange.Cells(x,y)
Close the workbook, preferably not saving it (as your programming logic requires) and use the MyAnswer value as your 'function' output.
I'm doing some testing using python-excel modules. I can't seem to find a way to delete a row in an excel sheet using these modules and the internet hasn't offered up a solution. Is there a way to delete a row using one of the python-excel modules?
In my case, I want to open an excel sheet, read the first row, determine if it contains some valid data, if not, then delete it.
Any suggestions are welcome.
xlwt provides as the module name suggests Excel writer (creation rather than modification) funcionality.
xlrd on the other hand provides Excel reader funcionality.
If your source excel file is rather simple (no fancy graphs, pivot tables, etc.), you should proceed this way:
with xlrd module read the contents of the targeted excel file, and then with xlwt module create new excel file which contains the necessary rows.
If you, however are running this on windows platform , you might be able to manipulate Excel directly through Microsoft COM objects, see old book reference.
I was having the same issue but found a walk around:
Use a custom filter process (Reader>Filter1>Filter2>...>Writer) to generate a copy of the source excel file but with a blank column inserted at the front. Let's call this file augmented.xls.
Then, read augmented.xls into a xlrd.Workbook object, rb, using xlrd.open_workbook().
Use xlutils.copy.copy() to convert rb into a xlwt.Workbook object, wb.
Set the value of the first column of each of the to-be-deleted rows as "x" (or other values as a marker) in wb.
Save wb back to augmented.xls.
Use another custom filter process to generate a resulting excel file from augmented.xls by omitting those rows with "x" in the first column and shifting all columns one column left (equivalent to deleting the first column of markers).
Information and examples of defining a filter process can be found in http://www.simplistix.co.uk/presentations/python-excel.pdf
Hope this help in some way.
You can use the library openpyxl. When opening a file it is both for reading and for writing. Then, with a simple function you can achieve that:
from openpyxl import load_workbook
wb = load_workbook(filename)
ws = wb.active()
first_row = ws[1]
# Your code here using first_row
if first_row not valid:
ws.delete_rows(1, amount=1)