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.
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.
Edit: I found out a solution to my question. More or less look at the user manual for openPyxl instead of online tutorials, the tutorials ran errors when I tried them (I tried more than one) and their thought process was significantly different from the thought process in the user manual. And also I ended up not using pandas as much as I thought I would need to.
I am trying to append certain values in an Excel file with multiple sheets based on user inputs and then rewrite it to the Excel file (without deleting the rest of the sheets). So far I have tried this which seems to combine the data but I didn't quite see how it applied to what I am doing since I want to append a part of a sheet instead of rewrite the whole excel file. I have also tried a few other things with ExcelWriter but I don't quite understand it since it usually wipes all the data in the file (I may be using it wrong).
episode_dataframe = pd.read_excel (r'All_excerpts (Siena Copy)_test.xlsx', sheet_name=episode)
#episode is a specified string inputted by user, this line makes a data frame for the specified sheet
episode_dataframe.loc[(int(pass_num) - 1), 'Resources'] = resources
#resources is also a user inputted string, it's what I am trying to append the spreadsheet cell value to, this appends to corresponding data frame
path_R = open("All_excerpts (Siena Copy)_test.xlsx", "rb")
with pd.ExcelWriter(path_R) as writer:
writer.book = openpyxl.load_workbook(path_R)
#I copied this from [here][3], i think it should make the writer for the to_excel? I don't fully know
episode_dataframe.to_excel(writer, sheet_name=episode, engine=openpyxl, if_sheet_exsits ='replace')
#this should write the sheet data frame onto the file, but I don't want it to delete the other sheets
Additionally, I have been running into a bunch of other smaller errors, a big one was Workbook' object has no attribute 'add worksheet' even though I'm not trying to add a worksheet, also I could not get their solution to work.
I am a bit of a novice at python, so my code might be a bit of a mess.
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??
I am using openpyxl to manipulate a Microsoft Excel Worksheet.
What I want to do is to add a Conditional Formatting Rule that fills the rows with a given colour if the row number is even, leaves the row blank if not.
In Excel this can be done by selecting all the worksheet, creating a new formatting rule with the text =MOD(ROW();2)=0 or =EVEN(ROW()) = ROW().
I tried to implement this behaviour with the following lines of code (considering for example the first 10 rows):
redFill = PatternFill(start_color='EE1111', end_color='EE1111', fill_type='solid')
ws2.conditional_formatting.add('A1:A10', FormulaRule(formula=['MOD(ROW();2) = 0'], stopIfTrue=False, fill=redFill))
My program runs correctly but when I try to open the output Excel file, it tells me that the file contains unreadable content and it asks me if I want to recover the worksheet content. By clicking yes, the worksheet is what I expect but there is no formatting.
What is the correct way to apply such a formatting in openpyxl (possibly to the entire worksheet)?
Unfortunately, the way formulae are handled in conditional formatting is particularly opaque. The best thing to do is to create a file with the relevant conditional format and inspect the relevant file by unzipping it. The rules are stored in the relevant worksheet files and the formats in the styles file.
However, I suspect that the problem may simply because you are using ";" to separate parameters in the function: you must always use commas for this.
A sample formula from one of my projects:
green_text = Font(color="006100")
green_fill = PatternFill(bgColor="C6EFCE")
dxf2 = DifferentialStyle(font=green_text, fill=green_fill)
r3 = Rule(type="expression", dxf=dxf2)
r3.formula = ["AND(ISNUMBER(C2), C2>=400)"]
I am relatively new to coding in Python, and here is my problem:
1- When I update data of an existing .xlsx file (using openpyxl), the outcome is a .xlsx that looses all the previous formatting. I've also tried with .xls (using xlwt and xlrd), but nothing changed.
2- So, I decided to keep this unformatted outcome file and apply all the formatting of a template .xls(x) file.
Is there an straight forward way to preserve the formatting at the step 1? if not, how can I implement step 2?
P.S: I've tried to handle styles with xlutils.styles... but I didn't manage to...
Thanks for your help!
You can take the format of a cell with xlrd and set it as the style of a cell you're writing in xlwt. The cell's xf_index attribute is an instance of the XFStyle object and can be dumped directly into the style argument of a write method, like so:
import xlwt,xlrd
readbook = xlrd.open_workbook('book.xls', formatting_info=True)
readsheet = readbook.sheet_by_index(0)
cell = sheet.cell(0,0)
writebook = xlwt.Workbook()
writesheet = writebook.add_sheet('sheet1')
writesheet.write(0,0,'First Cell', cell.xf_index)
From there you can either iterate to match each cell's format or you can write each format to rows or columns, as shown here: https://github.com/python-excel/xlwt/blob/master/xlwt/examples/row_styles.py