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Functional programming

This is documentation for an old release of NumPy (version 1.14). Read this page in the documentation of the latest stable release (version 2.2).

numpy.rate

numpy.rate(nper, pmt, pv, fv, when='end', guess=None, tol=None, maxiter=100)[source]

Compute the rate of interest per period.

Parameters:

nper : array_like

Number of compounding periods

pmt : array_like

Payment

pv : array_like

Present value

fv : array_like

Future value

when : {{‘begin’, 1}, {‘end’, 0}}, {string, int}, optional

When payments are due (‘begin’ (1) or ‘end’ (0))

guess : Number, optional

Starting guess for solving the rate of interest, default 0.1

tol : Number, optional

Required tolerance for the solution, default 1e-6

maxiter : int, optional

Maximum iterations in finding the solution

Notes

The rate of interest is computed by iteratively solving the (non-linear) equation:

fv + pv*(1+rate)**nper + pmt*(1+rate*when)/rate * ((1+rate)**nper - 1) = 0

for rate.

References

Wheeler, D. A., E. Rathke, and R. Weir (Eds.) (2009, May). Open Document Format for Office Applications (OpenDocument)v1.2, Part 2: Recalculated Formula (OpenFormula) Format - Annotated Version, Pre-Draft 12. Organization for the Advancement of Structured Information Standards (OASIS). Billerica, MA, USA. [ODT Document]. Available: http://www.oasis-open.org/committees/documents.php?wg_abbrev=office-formula OpenDocument-formula-20090508.odt