I have a web application (based on Django 1.5) wherein a user uploads a spreadsheet file.
I've been using xlrd for manipulating xls files and looked into openpyxl which claims to support xlsx/xlsm files.
So is there a common way to read/write both xls and xlsx files?
Another option could be to convert the uploaded file to xls and use xlrd. For this I looked into gnumeric and ssconvert, this would be favorable since all my existing code in written using xlrd and I will not have to change the existing codebase.
So should I change the library I use or go with the conversion solution?
Thanks in advance.
xlrd can read both xlsx and xls files, so it's probably simplest to use that. Support for xlsx isn't as extensive as openpyxl but should be sufficient.
There's a risk of losing information in converting xlsx to xls because xlsx files can be much larger.
Related
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
I'm trying to fetch tagged data from a .xls file.
I am able to fetch the tagged data from .xlsx file using Openpyxl, like this: [dn for dn in wb.defined_names.definedName]
But openpyxl does not support .xls format and I need to get the defined_names from .xls file as well.
Is there any library that can read .xls and return the defined_names in the file?
check xlrd package.
Here is the relevant part of the docs - Named references, constants, formulas, and macros
I have this huge Excel (xls) file that I have to read data from. I tried using the xlrd library, but is pretty slow. I then found out that by converting the Excel file to CSV file manually and reading the CSV file is orders of magnitude faster.
But I cannot ask my client to save the xls as csv manually every time before importing the file. So I thought of converting the file on the fly, before reading it.
Has anyone done any benchmarking as to which procedure is faster:
Open the Excel file with with the xlrd library and save it as CSV file, or
Open the Excel file with win32com library and save it as CSV file?
I am asking because the slowest part is the opening of the file, so if I can get a performance boots from using win32com I would gladly try it.
if you need to read the file frequently, I think it is better to save it as CSV. Otherwise, just read it on the fly.
for performance issue, I think win32com outperforms. however, considering cross-platform compatibility, I think xlrd is better.
win32com is more powerful. With it, one can handle Excel in all ways (e.g. reading/writing cells or ranges).
However, if you are seeking a quick file conversion, I think pandas.read_excel also works.
I am using another package xlwings. so I am also interested with a comparison among these packages.
to my opinion,
I would use pandas.read_excel to for quick file conversion.
If demanding more processing on Excel, I would choose win32com.
I have a results analysing spreadsheet where i need to enter my raw data into a 8x6 cell 'plate' which has formatted cells to produce the output based on a graph created. This .xlsx file is heavily formatted with formulas for the analysis, and it is a commercial spreadsheet so I cannot replicate these formulas.
I am using python 2.7 to obtain the raw results into a list and I have tried using xlwt and xlutils to copy the spreadsheet to enter the results. When I do this it loses all formatting when I save the file. I am wondering whether there is a different way in which I can make a copy of the spreadsheet to enter my results.
Also when I have used xlutils.copy I can only save the file as a .xls file, not an xlsx, is this the reason why it loses formatting?
First:
Apparently xlwt, does not support xlsx.
does xlwt support xlsx Format
Other library to use with format:
https://pypi.python.org/pypi/XlsxWriter
or
http://pythonexcels.com/python-excel-mini-cookbook/
While Destrif is correct, xlutils uses xlwt which doesn't support the .xlsx file format.
However, you will also find that xlsxwritter is unable to write xlrd formatted objects.
Similarly, the python-excel-cookbook he recommends only works if you are running Windows and have excel installed. A better alternative for this would be xlwings as it works for Windows and Mac with Excel installed.
If you are looking for something more platform agnostic, you could try writing your xlsx file using openpyxl.
Is there any way to read comments in xlsx files using python?
openpyxl enables the manipulation of xlsx files and there is discussion here of adding the ability to access comments. If this does not work the comments for a given xlsx file can be accessed in xml format by renaming and unzipping the xlsx file as described here. This xml file can then be read by python.