New_session = gnucash.Session(target_uri, is_new=True) """Converts gnucash databases at the given uris from src to target""" gnucashconvert filename.gnucash sqlite3:////home/username/export.sqlite): #!/usr/bin/env pythonĭef convert_gnucash(src_uri, target_uri): If you still want to use the XML files, you can use the following script to convert from XML to a database, and then write your reports on that (e.g. Print(df.loc = "Asset",Īs Chop Suey said, GnuCash 2.4 has its own database format. # print for account "Asset" some information on the splits # extract all split information to a pandas DataFrame Recent versions also allows to extract the split information directly to pandas DataFrames for easy plotting/analysis with from piecash import open_book Or to iterate over all the splits in the "Asset" account: # open the bookĪsset = mybook.accounts(fullname="Asset") With open_book("some_book.gnucash", open_if_lock=True) as mybook: With it you can easily access all the information contained in a book.įor instance, to iterate over all accounts in the book: from piecash import open_book I published piecash, a python interface to SQL saved GnuCash books that uses SQLAlchemy as basis ( ). You guys might have better suggestions in addition to those mentioned. Some workaround, like exporting to a certain file format for which there is a more mature Python library that can read it.More recently updated documentation aside from this one from the GnuCash wiki.As far as I know about GnuCash and Python, I think someone probably knows solutions of the following types: I hope someone can point me to a good start on this. My main objective is to read (no plans to write yet) my GnuCash files so that I can create my own visual dynamic reports using matplotlib and wxpython. Though I can operate the Linux command line, I am running GnuCash on Windows XP. The instructions are tailored for the Linux environment, and a rather old GnuCash version (2.0.x). I have read about this python-gnucash which provides Python bindings to the GnuCash library, but it takes a lot of work at the moment (e.g. Detail instructions on how to use the tool and the options that can be used.I'm looking for information on how to read GnuCash files using python. I has worked for me and if you use GnuCash I hope you will find this tool helpful to perform deeper analysis. Instead of trying to create a macro in either spreadsheet application that would perform those tasks, I personally felt that it would be easier and quickly to add the information by running a script, in this case Perl, and then use the output from that script to start analyzing this tool. Dispalying the amount value based on the difference between the Amount To and Amount From fields. Add columns to display the month which the transaction occurred.ģ. Remove the split (S) transaction types, leaving the header (T) transaction types, or vice verse.Ģ. However, I noticed that I was performing the same three tasks to get that file into a format for me to perform my analysis:ġ. It is useful that they provided all the details. It exports all the data for the transactions including the transaction header and splits into a CSV file for me to preform deeper analysis using Microsoft Excel or LibreOffice Calc (I have used both applications). The feature I found very useful was the ability to export transactions into a CSV file. I used GnuCash for more than 7 years to track my finances and for analysis. It is intended simply to save time when uploading using that export in any spreadsheet tool to perform analysis. This Perl utility script will allow you to quick strip the split or utility file and display transaction month and year information.
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