Metadata-Version: 2.1
Name: numpy-financial
Version: 0.2.0
Summary: Simple financial functions
Home-page: https://numpy.org/numpy-financial/
Author: Travis E. Oliphant et al.
Maintainer: Numpy Financial Developers
Maintainer-email: numpy-discussion@python.org
License: BSD 3-Clause
Download-URL: https://pypi.org/project/numpy-financial/
Project-URL: Bug Tracker, https://github.com/numpy/numpy-financial/issues
Project-URL: Documentation, https://numpy.org/numpy-financial/
Project-URL: Source Code, https://github.com/numpy/numpy-financial
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Software Development
Classifier: Topic :: Office/Business :: Financial :: Accounting
Classifier: Topic :: Office/Business :: Financial :: Investment
Classifier: Topic :: Office/Business :: Financial :: Spreadsheet
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.15)

# NumPy Financial

The `numpy-financial` package contains a collection of elementary financial
functions.

The [financial functions in NumPy](https://numpy.org/doc/1.17/reference/routines.financial.html)
are deprecated and eventually will be removed from NumPy; see
[NEP-32](https://numpy.org/neps/nep-0032-remove-financial-functions.html)
for more information.  This package is the replacement for the original
NumPy financial functions.

The source code for this package is available at https://github.com/numpy/numpy-financial.

The importable name of the package is `numpy_financial`.  The recommended
alias is `npf`.  For example,

```
>>> import numpy_financial as npf
>>> npf.irr([-250000, 100000, 150000, 200000, 250000, 300000])
0.5672303344358536
```


