Python numpy.nper() Examples
The following are 30
code examples of numpy.nper().
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Example #1
| Source File: test_financial.py From Computable with MIT License | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[ 21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1/12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #2
| Source File: test_financial.py From vnpy_crypto with MIT License | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1 / 12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #3
| Source File: test_financial.py From mxnet-lambda with Apache License 2.0 | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1/12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #4
| Source File: test_financial.py From Mastering-Elasticsearch-7.0 with MIT License | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1 / 12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #5
| Source File: test_financial.py From auto-alt-text-lambda-api with MIT License | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1/12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #6
| Source File: test_financial.py From pySINDy with MIT License | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1 / 12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #7
| Source File: test_financial.py From ImageFusion with MIT License | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1/12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #8
| Source File: test_financial.py From lambda-packs with MIT License | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1/12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #9
| Source File: test_financial.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1 / 12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #10
| Source File: test_financial.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1/12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1/12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #11
| Source File: test_financial.py From GraphicDesignPatternByPython with MIT License | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1 / 12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #12
| Source File: test_financial.py From coffeegrindsize with MIT License | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1 / 12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #13
| Source File: test_financial.py From recruit with Apache License 2.0 | 6 votes |
|
def test_broadcast(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000., [0, 1]),
[21.5449442, 20.76156441], 4)
assert_almost_equal(np.ipmt(0.1 / 12, list(range(5)), 24, 2000),
[-17.29165168, -16.66666667, -16.03647345,
-15.40102862, -14.76028842], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000),
[-74.998201, -75.62318601, -76.25337923,
-76.88882405, -77.52956425], 4)
assert_almost_equal(np.ppmt(0.1 / 12, list(range(5)), 24, 2000, 0,
[0, 0, 1, 'end', 'begin']),
[-74.998201, -75.62318601, -75.62318601,
-76.88882405, -76.88882405], 4)
Example #14
| Source File: test_financial.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_nper(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000.),
21.54, 2)
Example #15
| Source File: financial.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def ppmt(rate, per, nper, pv, fv=0, when='end'):
"""
Compute the payment against loan principal.
Parameters
----------
rate : array_like
Rate of interest (per period)
per : array_like, int
Amount paid against the loan changes. The `per` is the period of
interest.
nper : array_like
Number of compounding periods
pv : array_like
Present value
fv : array_like, optional
Future value
when : {{'begin', 1}, {'end', 0}}, {string, int}
When payments are due ('begin' (1) or 'end' (0))
See Also
--------
pmt, pv, ipmt
"""
total = pmt(rate, nper, pv, fv, when)
return total - ipmt(rate, per, nper, pv, fv, when)
Example #16
| Source File: test_financial.py From pySINDy with MIT License | 5 votes |
|
def test_nper(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000.),
21.54, 2)
Example #17
| Source File: test_financial.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_nper2(self):
assert_almost_equal(np.nper(0.0, -2000, 0, 100000.),
50.0, 1)
Example #18
| Source File: financial.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def ppmt(rate, per, nper, pv, fv=0.0, when='end'):
"""
Compute the payment against loan principal.
Parameters
----------
rate : array_like
Rate of interest (per period)
per : array_like, int
Amount paid against the loan changes. The `per` is the period of
interest.
nper : array_like
Number of compounding periods
pv : array_like
Present value
fv : array_like, optional
Future value
when : {{'begin', 1}, {'end', 0}}, {string, int}
When payments are due ('begin' (1) or 'end' (0))
See Also
--------
pmt, pv, ipmt
"""
total = pmt(rate, nper, pv, fv, when)
return total - ipmt(rate, per, nper, pv, fv, when)
Example #19
| Source File: financial.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
|
def ppmt(rate, per, nper, pv, fv=0.0, when='end'):
"""
Compute the payment against loan principal.
Parameters
----------
rate : array_like
Rate of interest (per period)
per : array_like, int
Amount paid against the loan changes. The `per` is the period of
interest.
nper : array_like
Number of compounding periods
pv : array_like
Present value
fv : array_like, optional
Future value
when : {{'begin', 1}, {'end', 0}}, {string, int}
When payments are due ('begin' (1) or 'end' (0))
See Also
--------
pmt, pv, ipmt
"""
total = pmt(rate, nper, pv, fv, when)
return total - ipmt(rate, per, nper, pv, fv, when)
Example #20
| Source File: financial.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def ppmt(rate, per, nper, pv, fv=0.0, when='end'):
"""
Compute the payment against loan principal.
Parameters
----------
rate : array_like
Rate of interest (per period)
per : array_like, int
Amount paid against the loan changes. The `per` is the period of
interest.
nper : array_like
Number of compounding periods
pv : array_like
Present value
fv : array_like, optional
Future value
when : {{'begin', 1}, {'end', 0}}, {string, int}
When payments are due ('begin' (1) or 'end' (0))
See Also
--------
pmt, pv, ipmt
"""
total = pmt(rate, nper, pv, fv, when)
return total - ipmt(rate, per, nper, pv, fv, when)
Example #21
| Source File: financial.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _rate_dispatcher(nper, pmt, pv, fv, when=None, guess=None, tol=None,
maxiter=None):
return (nper, pmt, pv, fv)
# Use Newton's iteration until the change is less than 1e-6
# for all values or a maximum of 100 iterations is reached.
# Newton's rule is
# r_{n+1} = r_{n} - g(r_n)/g'(r_n)
# where
# g(r) is the formula
# g'(r) is the derivative with respect to r.
Example #22
| Source File: financial.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _pv_dispatcher(rate, nper, pmt, fv=None, when=None):
return (rate, nper, nper, pv, fv)
Example #23
| Source File: test_financial.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def test_nper(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000.),
21.54, 2)
Example #24
| Source File: financial.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _ppmt_dispatcher(rate, per, nper, pv, fv=None, when=None):
return (rate, per, nper, pv, fv)
Example #25
| Source File: financial.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _pmt_dispatcher(rate, nper, pv, fv=None, when=None):
return (rate, nper, pv, fv)
Example #26
| Source File: financial.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _fv_dispatcher(rate, nper, pmt, pv, when=None):
return (rate, nper, pmt, pv)
Example #27
| Source File: test_financial.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_nper2(self):
assert_almost_equal(np.nper(0.0, -2000, 0, 100000.),
50.0, 1)
Example #28
| Source File: test_financial.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_nper(self):
assert_almost_equal(np.nper(0.075, -2000, 0, 100000.),
21.54, 2)
Example #29
| Source File: tvmm.py From cashflows with MIT License | 5 votes |
|
def pvpmt(pmt=None, pval=None, nrate=None, nper=None, pyr=1, noprint=True):
"""Computes the missing argument (set to ``None``) in a model relating the
present value, the periodic payment, the number of
compounding periods and the nominal interest rate in a cashflow.
Args:
pmt (float, list): Periodic payment.
pval (float, list): Present value.
nrate (float, list): Nominal interest rate per year.
nper (int, list): Number of compounding periods.
pyr (int, list): number of periods per year.
noprint (bool): prints enhanced output
Returns:
The value of the parameter set to None in the function call.
**Details**
The ``pvpmt`` function computes and returns the missing value (``pmt``,
``pval``, ``nper``, ``nrate``) in a model relating a finite sequence of payments
made at the beginning or at the end of each period, a present value,
and a nominal interest rate. The time intervals between consecutive payments are
assumed to be equial. For internal computations, the effective interest rate per
period is calculated as ``nrate / pyr``.
This function is used to simplify the call to the ``tvmm`` function.
See the ``tvmm`` function for details.
"""
return tvmm(pval=pval, fval=0, pmt=pmt, nrate=nrate, nper=nper, due=0, pyr=pyr, noprint=noprint)
Example #30
| Source File: tvmm.py From cashflows with MIT License | 5 votes |
|
def pmtfv(pmt=None, fval=None, nrate=None, nper=None, pyr=1, noprint=True):
"""Computes the missing argument (set to ``None``) in a model relating the
the future value, the periodic payment, the number of
compounding periods and the nominal interest rate in a cashflow.
Args:
pmt (float, list): Periodic payment.
fval (float, list): Future value.
nrate (float, list): Nominal rate per year.
nper (int, list): Number of compounding periods.
pyr (int, list): number of periods per year.
noprint (bool): prints enhanced output
Returns:
The value of the parameter set to None in the function call.
**Details**
The ``pmtfv`` function computes and returns the missing value (``pmt``, ``fval``,
``nper``, ``nrate``) in a model relating a finite sequence of payments
made at the beginning or at the end of each period, a future value,
and a nominal interest rate. The time intervals between consecutive payments are
assumed to be equial. For internal computations, the effective interest rate per
period is calculated as ``nrate / pyr``.
This function is used to simplify the call to the ``tvmm`` function.
See the ``tvmm`` function for details.
"""
return tvmm(pval=0, fval=fval, pmt=pmt, nrate=nrate, nper=nper, due=1, pyr=pyr, noprint=noprint)
