Is there a workaround for using pandas ExcelWriter to append to a fsspec URL? I am working out of OneDrive and need to automatically append a master xlsx file with each new xlsx file that gets uploaded to the OneDrive folder (a new xlsx file get added to the OneDrive folder daily and need to create a master list without changing previous data) but the append function does not work with fsspec URLs and overwrites the master xlsx file.
This script runs on a trigger automatically and calls on any new .xlsx files that are in the OneDrive folder. The columns are exactly the same, but the rows vary and the file names are not consistent other than the .xlsx format so I do not think I can use the manipulate the start row or call a specific file name.
Is there a workaround for this? Essentially I want a master xlsx file that exists in OneDrive that will grow and update with each xlsx file export that gets uploaded to the OneDrive folder every day.
I tried...
with pd.ExcelWriter(
"/Users/silby/OneDrive/test/dataTest.xlsx",
mode='a',
engine='openpyxl',
if_sheet_exists='overlay'
) as writer:
excel_merged.to_excel(writer)
and expected it to append the dataTest.xlsx file but it overwrites the existing data instead.
Related
I have large excel files with format .xlsb and .xlsx. I need to read only one sheet from all these files in python. It takes forever to use read_excel on these files. I want to save off that sheet I need as a .csv file and then read it to make it quicker. The only problem is that I have 24 of these excel workbooks and I don't have the time to manually take that sheet for each workbook and save it as .csv. Any suggestions on how I can change the format of just that one sheet?
An .xlsx-file is technically a folder. It is possible to open it as a zip-file and extract the individual sheets. However, I have never attempted to do this using Python, so I do not know how easy it is to do.
is it possible to use Python in order to create a list in an Excel spreadsheet containing all filenames and file directories which have been uploaded on OneDrive?
Yes but this question is very broad and isn't specific. For the purposes of answering with brevity:
OneDrive SDK for Python
This will give you access to a OneDrive account with various methods to list both items and last modified.
URL: https://github.com/OneDrive/onedrive-sdk-python
XlsxWriter for Python
This will give you the ability to write files in the Excel 2007+ XLSX file format. If you just wish Excel to be able to open the file then you could just use the standard CSV module.
URL: https://pypi.org/project/XlsxWriter/
I would like to write into an existing xlsx file in SharePoint. Is that even possible? Mydata is in the form of a dataframe and if possible, just append the dataframe instead of overwriting the whole xlsx file. I tried to use xlsxwriter library but did not get anywhere. Any help would be appreciated
#Coder123,
As you're using SP Online, you could update the content of xlsx file stored in SPO via MS Graph API:
https://learn.microsoft.com/en-us/graph/api/table-update?view=graph-rest-1.0&tabs=http
through this API, you can update the table/worksheet of an xlsx file. And it has offered a python library:
https://github.com/microsoftgraph/msgraph-sdk-python-core
The question is pretty simple, actually.
I'm reading an Excel file using Pandas. When I open it using Office's Excel in my Desktop I'm prompted to Enable Content and then Update Links [that is, update values in those cells importing information from cells in other workbooks and xslx files], so it reads other files in some other folders.
While using pd.read_excel('filename') however that option is not available, and I'm afraid it's importing the data previously contained in the spreadsheet without updating it. Is there a workaround?
I want to save dataframe to s3 but when I save the file to s3 , it creates empty file with ${folder_name}, in which I want to save the file.
Syntax to save the dataframe :-
f.write.parquet("s3n://bucket-name/shri/test")
It saves the file in test folder but it creates $test under shri .
Is there a way I can save it without creating that extra folder?
I was able to do it by using below code.
df.write.parquet("s3a://bucket-name/shri/test.parquet",mode="overwrite")
As far as I know, there is no way to control the naming of the actual parquet files. When you write a dataframe to parquet, you specify what the directory name should be, and spark creates the appropriate parquet files under that directory.