Using Python 3.7. I have several .xlsx workbooks with 34 sheets each, most of which have conditional formatting and charts, but all I'm actually after is a cell with specified text that's somewhere on the first sheet of each book. The workbook is not protected but the sheet is, and I don't know the password, so I can't use pandas.read_excel; using openpyxl/load_workbook, it takes ages to load and I get lots of errors about it not being able to handle conditional formatting etc. I then have to search the sheet for the text.
Is there an easy, quick way of loading just the first sheet (or a named sheet)? The pandas code is very quick and easy, but I can't use it :(
Not completely sure about that but I can recommend trying "read-only" mode from openpyxl
https://openpyxl.readthedocs.io/en/stable/optimized.html
It does not fetch the full file but read it in so-called "lazy" mode. Thus you can jump to the cell you need.
It also allows to start reading from the specific sheet
Note that closing file is mandatory
Related
Thanks for taking the time to read my question.
I am working on a personal project to learn python scripting for excel, and I want to learn how to move data from one workbook to another.
In this example, I am emulating a company employee ledger that has name, position, address, and more (The organizations is by row so every employee takes up one row). But the project is to have a selected number of people be transferred to a new ledger (another excel file). So I have a list of emails in a .txt file (it could even be another excel file but I thought .txt would be easier), and I would want the script to run through the .txt file, get the emails, and look for any rows that have a matching email address(all emails are in cell 'B'). And if any are found, then copy that entire row to the new excel file.
I tried a lot of ways to make this work, but I could not figure it out. I am really new to python so I am not even sure if this is possible. Would really appreciate some help!
You have essentially two packages that will allow manipulation of Excel files. For reading in data and performing analysis the standard package for use is pandas. You can save the files as .xlsx however you are only really working with base table data and not the file itself (IE, you are extracing data FROM the file, not working WITH the file)
However what you need is really to perform manipulation on Excel files directly which is better done with openpyxl
You can also read files (such as your text file) using with open function that is native to Python and is not a third party import like pandas or openpyxl.
Part of learning to program includes learning how to use documentation.
As such, here is the documentation you require with sufficient examples to learn openpyxl: https://openpyxl.readthedocs.io/en/stable/
And you can learn about pandas here: https://pandas.pydata.org/docs/user_guide/index.html
And you can learn about python with open here: https://docs.python.org/3/tutorial/inputoutput.html
Hope this helps.
EDIT: It's possible I or another person can give you a specific example using your data / code etc, but you would have to provide it fully. Since you're learning, I suggest using the documentation or youtube.
I'm working a lot with Excel xlsx files which I convert using Python 3 into Pandas dataframes, wrangle the data using Pandas and finally write the modified data into xlsx files again.
The files contain also text data which may be formatted. While most modifications (which I have done) have been pretty straight forward, I experience problems when it comes to partly formatted text within a single cell:
Example of cell content: "Medical device whith remote control and a Bluetooth module for communication"
The formatting in the example is bold and italic but may also be a color.
So, I have two questions:
Is there a way of preserving such formatting in xlsx files when importing the file into a Python environment?
Is there a way of creating/modifying such formatting using a specific python library?
So far I have been using Pandas, OpenPyxl, and XlsxWriter but have not succeeded yet. So I shall appreciate your help!
As pointed out below in a comment and the linked question OpenPyxl does not allow for this kind of formatting:
Any other ideas on how to tackle my task?
i have been recently working with openpyxl. Generally if one cell has the same style(font/color), you can get the style from cell.font: cell.font.bmeans bold andcell.font.i means italic, cell.font.color contains color object.
but if the style is different within one cell, this cannot help. only some minor indication on cell.value
I do a lot of data analysis in Excel and have been exploring Python and DataNitro to streamline my workflow. I specifically am trying to copy certain cells from one sheet in one Excel workbook, and paste them into certain cells in a certain sheet in another Excel workbook.
I have been storing ("copying") using CellRange (DataNitro), but am not sure how to copy the stored contents into a particular sheet, in another Excel workbook. Any clue how I may go about this? Also, is it possible to make the range defined for a CellRange conditional on certain cell properties?
I would really appreciate any help! Thank you, all.
Here's an example of copying:
data = CellRange("A1:A10").value
active_wkbk("Book2.xlsx")
CellRange("A1:A10").value = data
You can make the range conditional using regular Python logic (if statements, etc.).
I create new workbooks via xlsxwriter. In every of them I need to have formated header sheet, which is stored in another template workbook. I know it is impossible to do with xlsxwriter, coz I cannot open template workbook with this.
I thought to do that by xlrd, copy this sheet and then with xlsxwriter write it to created workbook.
But is it possible? To use combination of those two libraries?
I know this question is without even any code, but I'm lame with python and if you could give me any advice or something to deal with my problem I will be gratefull.
xlrd and xlswriter aren't really designed to work together. Consider switching to the pyopenxl library, which allows both reading and writing of spreadsheets and might allow you to do what you need quite easily.
In the environment, we have an excel file, which includes rawdata in one sheet and pivot table and charts in another sheet.
I need to append rows every day to raw data automatically using a python job.
I am not sure, but there may be some VB Script running on the front end which will refresh the pivot tables.
I used openpyxl and by following its online documentation, I was able to append rows and save the workbook. I used keep_vba=true while loading the workbook to keep the VBA modules inside to enable pivoting. But after saving the workbook, the xlsx is not being opened anymore using MS office and saying the format or the extension is not valid. I can see the data using python but with office, its not working anymore. If I don't use keep_vba=true, then pivoting is not working, only the previous values are present (ofcourse as I understood, as VBA script is needed for pivoting).
Could you explain me what's happening? I am new to python and don't know its concepts much.
How can I fix this in openpyxl or is there any better alternative other than openpyxl. Data connections in MS office is not an option for me.
As I understood, xlsx may need special modules to save the VB script to save in the same way as it may be saved using MS office. If it is, then what is the purpose of keep_vba=true ?
I would be grateful if you could explain in more detail. I would love to know.
As I have very short time to complete this task, I am looking for a quick answer here, instead of going through all the concepts.
Thankyou!
You have to save the files with the extension ".xlsm" rather than ".xlsx". The .xlsx format exists specifically to provide the user with assurance that there is no VBA code within the file. This is an Excel standard and not a problem with openpyxl. With that said, I haven't worked with openpyxl, so I'm not sure what you need to do to be sure your files are properly converted to .xlsm.
Edit: Sorry, misread your question first time around. Easiest step would be to set keep_vba=False. That might resolve your issue right there, since you're telling openpyxl to look for VBA code that can't possibly exist in an xlsx file. Hard to say more than that until you post the relevant section of your code.