I have got an excel file from work which I amended using pandas. It has 735719 rows × 31 columns, I made the changes necessary and allocated them to a new dataframe. Now I need to have this dataframe in an Excel format. I have checked to see that in jupyter notebooks the ont_dub works and it shows a dataframe. So I use the following code ont_dub.to_excel("ont_dub 2019.xlsx") which I always use.
However normally this would only take a few seconds, but now it has been 40 minutes and it is still calculating. Sidenote I am working in a onedrive folder from work, but that hasn't caused issues before. Hopefully someone can see the problem.
Usually, if you want to save such high amount of datas in a local folder. You don't utilize excel. If I am not mistaken excel has a know limit of displayable cells and it wasnt built to display and query such massive amounts of data (you can use pandas for that). You can either utilize feather files (a known quick save alternative). Or csv files, which are built for this sole purpose.
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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've been asked to create a Python script to automate a server deployment for 80 retail stores.
As part of this script, I have a secondary script that I call to change multiple values in 9 XML files, however, the values are unique for each store, so this script needs to be changed each time, but after I am gone, this is going to be done by semi / non-technical people, so we don't want them to change the Python scripts directly for fear of breaking them.
This in mind, I would like to have these people input the store details into an XLS sheet, and a python file read this sheet and put the data it finds into the existing python script with the data to be changed.
The file will be 2 columns, with the required data in the 2nd one.
I'm sorry if this is a long explanation, but that is the gist of it. I'm using python 2.6. Does anyone have a clue about how I can do this? Or which language might be better for this. I also know Bash and Javascript.
Thanks in advance
Depending on the complexity and the volume of your data
for small Openpyxl,
for large pandas
Assuming I have an excel sheet already open, make some changes in the file and use pd.read_excel to create a dataframe based on that sheet, I understand that the dataframe will only reflect the data in the last saved version of the excel file. I would have to save the sheet first in order for pandas dataframe to take into account the change.
Is there anyway for pandas or other python packages to read an opened excel file and be able to refresh its data real time (without saving or closing the file)?
Have you tried using mitosheet package? It doesn't answer your question directly, but it allows you working on pandas dataframes as you would do in excel sheets. In this way, you may edit the data on the fly as in excel and still get a pandas dataframe as a result (meanwhile generating the code to perform the same operations with python). Does this help?
There is no way to do this. The table is not saved to disk, so pandas can not read it from disk.
Be careful not to over-engineer, that being said:
Depending on your use case, if this is really needed, I could theoretically imagine a Robotic Process Automation like e.g. BluePrism, UiPath or PowerAutomate loading live data from Excel into a Python environment with a pandas DataFrame continuously and then changing it.
This use case would have to be a really important process though, otherwise licensing RPA is not worth it here.
df = pd.read_excel("path")
In variable explorer you can see the data if you run the program in SPYDER ide
I'm quite new to Python and trying to fetch data in HTML and saved to excels using xlwt.
So far the program seems work well (all the output are correctly printed on the python console when running the program) except that when I open the excel file, an error message saying 'We found a problem with some content in FILENAME, Do you want us to try to recover as much as we can? If you trust the source of this workbook, click Yes.' And after I click Yes, I found that a lot of data fields are missing.
It seems that roughly the first 150 lines are fine and the problem begins to rise after that (In total around 15000 lines). And missing data fields concentrate at several columns with relative high data volume.
I'm thinking if it's related to sort of cache allocating mechanism of xlwt?
Thanks a lot for your help here.
seems like a caching issue.
Try sheet.flush_row_data() every 100 rows or so ?
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.