How to insert checkbox in excel using openpyxl python ? - python

How to insert checkbox in excel using openpyxl python ?
By using pywin32 we can do the same using following lines of codes
cb = sheet.CheckBoxes().Add(Left=sheet.Cells(row,column).Left,
Top=sheet.Cells(row,column).Top,
Width=sheet.Cells(row,column).Width,
Height=sheet.Cells(row,column).Height)
cb.Caption = name_of_checkbox
but i want to do using openpyxl ?

To the best of my knowledge it's not possible to create new form controls such as checkboxes with openpyxl.
However openpyxl does allow you to load an existing excel file that already contains form controls, modify the data in the excel file, and then save the excel file with preservation of the form controls. For this to work you must use the method openpyxl.load_workbook() with parameter keep_vba=True to load the existing excel file (see here).

Related

Appending Data to an Excel file using Python without using openpyxl

I am going to create a Excel application and I want to append the data to that Excel file without changing it's style openpyxl is giving a normal Excel so I want a different module to load with the previous styles and to save it
Also if some one know some example please share it
use xlsx writer this will open file without change in formatting you can save it back. as i have used it to save multiple file from a formatted template excel
pip install xlsxwriter

Saving XlsxWriter workbook more than once

I am writing software that manipulates Excel sheets. So far, I've been using xlrd and xlwt to do so, and everything works pretty well.
It opens a sheet (xlrd) and copies select columns to a new workbook (xlwt)
It then opens the newly created workbook to read data (xlrd) and does some math and formatting with the data (which couldn't be done if the file isn't saved once) - (xlwt saves once again)
However, I am now willing to add charts in my documents, and this function is not supported by xlwt. I have found that xlsxwriter does, but this adds other complications to my code: xlsxwriter only has xlsxwriter.close(), which saves AND closes the document.
Does anyone know if there's any workaround for this? Whenever I use xlsxwriter.close(), my workbook object containing the document I'm writing isn't usable anymore.
Fundamentally, there is no reason you need to read twice and save twice. For your current (no charts) process, you can just read the data you need using xlrd; then do all your processing; and write once with xlwt.
Following this workflow, it is a relatively simple matter to replace xlwt with XlsxWriter.

Modifying and writing data in an existing excel file using Python

I have an Excel file(xlsx) that already has lots of data in it. Now I am trying to use Python to write new data into this Excel file. I looked at xlwt, xldd, xlutils, and openpyxl, all of these modules requires you to load the data of my excel sheet, then apply changes and save to a new Excel file. Is there any way to just change the data in the existing excel sheet rather than load workbook or saving to new files?
This is not possible because XLSX files are zip archives and cannot be modified in place. In theory it might be possible to edit only a part of the archive that makes up an OOXML package but, in practice this is almost impossible because relevant data may be spread across different files.
Please check Openpyxl once again. You can load the data, do things with python, write your results in a new sheet in the same file or same sheet and save it (as everything is happening in memory).
e.g:
load data
wb = openpyxl.load_workbook("file.xlsx", data_only=True)
manipulate with python
# python codes
create sheet
some_sheet = wb.create_sheet("someSheet") # by default at the end
program to write in sheet
# program to write in sheet
save file (don't forget to close the excel file if its open before saving, as it will raise "Permission Error")
wb.save("file.xlsx"
here is the link
https://openpyxl.readthedocs.io/en/default/tutorial.html

How to parse cell format data from a .xlsx file using xlrd

I am relatively new to python and I am trying to read information from an excel sheet to generate a graph. So far I am using the most current version of the xlrd library (0.9.4) in a nested for loop to grab the value from each cell. However, I am unsure how to access the formatting information for each cell
For example, if a cell were formatted to display as currency in the excel file, using the standard sheet.cell(row, column).value from xlrd would only return 5.0 instead of $5.00
I found here that you can set the formatting_info parameter to true when opening the workbook in order to see some of the format information, however I am primarily using excel 2013 and my excel sheets are being saved by default as .xlsx files. According to this issue on GitHub, support for formatting_info has not yet been implemented for .xlsx files.
Is there any way around using the formatting_info flag, or any other way that I can detect when a format, currency specifically, has been used in order to reflect that in my graphs? I am aware that it is possible to convert .xlsx files to .xls files such as shown here, but I am concerned about information/formatting loss.

pivots using pyExcelerator/xlrd

How can I go about creating a worksheet (within an excel workbook) with a pivot table using python libs like pyExcelerator / xlrd? I need to generate a daily report that has a pivot table to summarize data on other sheets. One option would be to have a blank template that I copy and populate with the data. In this case, is there a way to refresh the pivot from code? Any other suggestions?
Please clarify (by editing your question) whether "sheet" is an abbreviation of "spreadsheet" and means a whole XLS file, or whether it's an abbreviation of "worksheet", a component of a "workbook".
If by "pivot table" you mean the Excel mechanism, you are out of luck, because that can be created only by Excel. However if you mean a "cross-tab" that you create your self using Python and an appropriate library, you can do this using the trio of xlrd, xlwt and xlutils.
xlrd you appear to know about.
xlwt is a fork of pyExcelerator with bugs fixed and several enhancements. pyExcelerator appears not to be maintained.
xlutils is a package of utility modules. xlutils.copy can be used to make an xlwt Workbook object from an xlrd Book object, so that you can make changes to the xlwt Workbook and save it to a file.
Here is your one-stop-shop for more info on the three packages, together with a tutorial, and links to a google-group/mailing-list which you can use to get help.
Try to have a look at this: Python: Refresh PivotTables in worksheet
If you figure out howto create the pivot tables then you can use my code to refresh them
I do not believe you can programatically add a pivot table using xlwt.
But your second approach (populating a pre-configured workbook) seems reasonable.
You can refresh the pivot table using a VBA macro in the template workbook. To do this automatically, create a WorkBook_Open event handler.
The VBA code to refresh a pivot table is:
Sheet1.PivotTables(1).PivotCache.Refresh

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