File | Date | Author | Commit |
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README.md | 2015-09-11 |
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[9b841e] Update README.md |
A cross-platform python library for loading XBRL taxonomy in computer memory. Hence, the developers can manipulate all financial data without to learn about the XBRL technology. As easy as handle a object-oriented python class.
https://marcioalexandre.wordpress.com/projects/xbrl-library/
How to load data:
You can/have to inform the path and the file name in the library. You can load one or many XBRL instances and its taxonomy, there is no a limit about ammount of files, but the performance can vary.
XBRL Objects Structure ====================
About File Object:
self._name
self._elements
About Element Object:
self._name
self._decimals
self._id
self._context_ref
self._unit_ref
self._value
self._company
self._labels
About Label Object:
self._type
self._label
self._lang
self._role
self._id
self._value