You'll need a python installation of some kind that includes pandas and JPype. The demonstrion of this class is in the script testmdheadless_net_worth.py.
#MONEYDANCE DEMO HOW TO#
If you need to unlock a password-protected data set, please see Stuart Beesley's collection of scripts for instruction on how to manage the password issue, and also see the discussion on moneydance forums here.Īdditionally, I wrote a more fulsome PyAccountWrapper class in pyaccountwrapper.py to handle account queries, most notably to get account balances and prices and specific dates. In these scripts we test against a moneydance data set which is not password protected. As always, please backup your data before attempting any external query or setting of any data element, and please note that the use of any scripts contained in this repo is at your own risk. The motivation for this is simple-moneydance has the ability to run python scripts in the application, but you may want to access the data as part of a larger python program, or you may want to take advantage of specific ipython features or the ability to run a script in a regular python environment, and this demo shows you how. The example scripts shown herein demonstrate how to access a moneydance datafile (a sample included in this repo), how to run the investment reports extension from python, (two different ways) and how to update the price of a security in the datafile.
This is a demonstration of how to access a moneydance datafile via python using the JPype package.
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