I've used xlrd for .xlsx files, but I haven't been able to find an equivalent for .ods files.
How can I convert some_file.ods to some_file.csv using python?
Related
When I open excel file with .xls format here it is opened faster than in case of .xlsx extension here using Pandas. I am using Pandas 1.0.1 and Python 3.7.6. These files are literally the same, I just renamed file names and first sheet name for the sake of convenience. The files consist of 6 sheets with 49 columns and approximately 1700 rows numeric data in each sheet. As you can see I am just reading only the first sheet here, but the same result holds for any number of sheets and rows. (Almost 4x time difference)
Is this the reason? [From https://windowsfileviewer.com]
"While XLS files use a proprietary binary format, XLSX files use a newer file format referred to as Open XML. The XLS extension is used by Microsoft Excel 2003 and earlier and the XLSX extension is used by Microsoft Excel 2007 and later"
I could not find any information on Panda`s official documentation. I am just wondering why and how this happens.
maybe because XLS files use a proprietary binary format whereas, XLSX use a newer file format known as Open XML
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'm trying to automate a process that converts excel files with single sheets having charts into pdf files using python. Any packages available that would help this task?
I have tried Excel Writer and other similar packages, it doesn't seem to work.
Reading the file using pandas doesn't work.
The source file has charts/images.
PDF file for each excel file is the desired output. Any suggestions would be welcome..
I have thousands of .wfs(windows script files) files and I am looking for a solution to help me convert this huge amount of .wfs files into .csv files using Python Anaconda or Spyder.
May I know any IO API similar to pandas where could read wfs files using similar functions like read.excel? or does python read script files?
Or could I convert these script files into Excel read quick (I know how to convert excel files into csv using Python)?
An example .wfs along with the converted csv is contained in the link below:
https://www.dropbox.com/sh/uwbajpubzuxn7g5/AABbD7W4pXFlxiIi1UAlHKTFa?dl=0
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.