Python numpy.rate() Examples
The following are 30 code examples for showing how to use numpy.rate(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
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Example 1
| Project: recruit Author: Frank-qlu File: test_financial.py License: Apache License 2.0 | 6 votes |
|
def test_pmt_decimal(self):
res = np.pmt(Decimal('0.08') / Decimal('12'), 5 * 12, 15000)
tgt = Decimal('-304.1459143262052370338701494')
assert_equal(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(Decimal('0'), Decimal('60'), Decimal('15000'))
tgt = -250
assert_equal(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[Decimal('0'), Decimal('0.8')], [Decimal('0.3'), Decimal('0.8')]],
[Decimal('12'), Decimal('3')], [Decimal('2000'), Decimal('20000')])
tgt = np.array([[Decimal('-166.6666666666666666666666667'), Decimal('-19311.25827814569536423841060')],
[Decimal('-626.9081401700757748402586600'), Decimal('-19311.25827814569536423841060')]])
# Cannot use the `assert_allclose` because it uses isfinite under the covers
# which does not support the Decimal type
# See issue: https://github.com/numpy/numpy/issues/9954
assert_equal(res[0][0], tgt[0][0])
assert_equal(res[0][1], tgt[0][1])
assert_equal(res[1][0], tgt[1][0])
assert_equal(res[1][1], tgt[1][1])
Example 2
| Project: vnpy_crypto Author: birforce File: test_financial.py License: MIT License | 6 votes |
|
def test_pmt_decimal(self):
res = np.pmt(Decimal('0.08') / Decimal('12'), 5 * 12, 15000)
tgt = Decimal('-304.1459143262052370338701494')
assert_equal(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(Decimal('0'), Decimal('60'), Decimal('15000'))
tgt = -250
assert_equal(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[Decimal('0'), Decimal('0.8')], [Decimal('0.3'), Decimal('0.8')]],
[Decimal('12'), Decimal('3')], [Decimal('2000'), Decimal('20000')])
tgt = np.array([[Decimal('-166.6666666666666666666666667'), Decimal('-19311.25827814569536423841060')],
[Decimal('-626.9081401700757748402586600'), Decimal('-19311.25827814569536423841060')]])
# Cannot use the `assert_allclose` because it uses isfinite under the covers
# which does not support the Decimal type
# See issue: https://github.com/numpy/numpy/issues/9954
assert_equal(res[0][0], tgt[0][0])
assert_equal(res[0][1], tgt[0][1])
assert_equal(res[1][0], tgt[1][0])
assert_equal(res[1][1], tgt[1][1])
Example 3
| Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_financial.py License: MIT License | 6 votes |
|
def test_pmt_decimal(self):
res = np.pmt(Decimal('0.08') / Decimal('12'), 5 * 12, 15000)
tgt = Decimal('-304.1459143262052370338701494')
assert_equal(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(Decimal('0'), Decimal('60'), Decimal('15000'))
tgt = -250
assert_equal(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[Decimal('0'), Decimal('0.8')], [Decimal('0.3'), Decimal('0.8')]],
[Decimal('12'), Decimal('3')], [Decimal('2000'), Decimal('20000')])
tgt = np.array([[Decimal('-166.6666666666666666666666667'), Decimal('-19311.25827814569536423841060')],
[Decimal('-626.9081401700757748402586600'), Decimal('-19311.25827814569536423841060')]])
# Cannot use the `assert_allclose` because it uses isfinite under the covers
# which does not support the Decimal type
# See issue: https://github.com/numpy/numpy/issues/9954
assert_equal(res[0][0], tgt[0][0])
assert_equal(res[0][1], tgt[0][1])
assert_equal(res[1][0], tgt[1][0])
assert_equal(res[1][1], tgt[1][1])
Example 4
| Project: GraphicDesignPatternByPython Author: Relph1119 File: test_financial.py License: MIT License | 6 votes |
|
def test_pmt_decimal(self):
res = np.pmt(Decimal('0.08') / Decimal('12'), 5 * 12, 15000)
tgt = Decimal('-304.1459143262052370338701494')
assert_equal(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(Decimal('0'), Decimal('60'), Decimal('15000'))
tgt = -250
assert_equal(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[Decimal('0'), Decimal('0.8')], [Decimal('0.3'), Decimal('0.8')]],
[Decimal('12'), Decimal('3')], [Decimal('2000'), Decimal('20000')])
tgt = np.array([[Decimal('-166.6666666666666666666666667'), Decimal('-19311.25827814569536423841060')],
[Decimal('-626.9081401700757748402586600'), Decimal('-19311.25827814569536423841060')]])
# Cannot use the `assert_allclose` because it uses isfinite under the covers
# which does not support the Decimal type
# See issue: https://github.com/numpy/numpy/issues/9954
assert_equal(res[0][0], tgt[0][0])
assert_equal(res[0][1], tgt[0][1])
assert_equal(res[1][0], tgt[1][0])
assert_equal(res[1][1], tgt[1][1])
Example 5
| Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_financial.py License: Apache License 2.0 | 6 votes |
|
def test_pmt_decimal(self):
res = np.pmt(Decimal('0.08') / Decimal('12'), 5 * 12, 15000)
tgt = Decimal('-304.1459143262052370338701494')
assert_equal(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(Decimal('0'), Decimal('60'), Decimal('15000'))
tgt = -250
assert_equal(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[Decimal('0'), Decimal('0.8')], [Decimal('0.3'), Decimal('0.8')]],
[Decimal('12'), Decimal('3')], [Decimal('2000'), Decimal('20000')])
tgt = np.array([[Decimal('-166.6666666666666666666666667'), Decimal('-19311.25827814569536423841060')],
[Decimal('-626.9081401700757748402586600'), Decimal('-19311.25827814569536423841060')]])
# Cannot use the `assert_allclose` because it uses isfinite under the covers
# which does not support the Decimal type
# See issue: https://github.com/numpy/numpy/issues/9954
assert_equal(res[0][0], tgt[0][0])
assert_equal(res[0][1], tgt[0][1])
assert_equal(res[1][0], tgt[1][0])
assert_equal(res[1][1], tgt[1][1])
Example 6
| Project: pySINDy Author: luckystarufo File: test_financial.py License: MIT License | 6 votes |
|
def test_pmt_decimal(self):
res = np.pmt(Decimal('0.08') / Decimal('12'), 5 * 12, 15000)
tgt = Decimal('-304.1459143262052370338701494')
assert_equal(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(Decimal('0'), Decimal('60'), Decimal('15000'))
tgt = -250
assert_equal(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[Decimal('0'), Decimal('0.8')], [Decimal('0.3'), Decimal('0.8')]],
[Decimal('12'), Decimal('3')], [Decimal('2000'), Decimal('20000')])
tgt = np.array([[Decimal('-166.6666666666666666666666667'), Decimal('-19311.25827814569536423841060')],
[Decimal('-626.9081401700757748402586600'), Decimal('-19311.25827814569536423841060')]])
# Cannot use the `assert_allclose` because it uses isfinite under the covers
# which does not support the Decimal type
# See issue: https://github.com/numpy/numpy/issues/9954
assert_equal(res[0][0], tgt[0][0])
assert_equal(res[0][1], tgt[0][1])
assert_equal(res[1][0], tgt[1][0])
assert_equal(res[1][1], tgt[1][1])
Example 7
| Project: coffeegrindsize Author: jgagneastro File: test_financial.py License: MIT License | 6 votes |
|
def test_pmt_decimal(self):
res = np.pmt(Decimal('0.08') / Decimal('12'), 5 * 12, 15000)
tgt = Decimal('-304.1459143262052370338701494')
assert_equal(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(Decimal('0'), Decimal('60'), Decimal('15000'))
tgt = -250
assert_equal(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[Decimal('0'), Decimal('0.8')], [Decimal('0.3'), Decimal('0.8')]],
[Decimal('12'), Decimal('3')], [Decimal('2000'), Decimal('20000')])
tgt = np.array([[Decimal('-166.6666666666666666666666667'), Decimal('-19311.25827814569536423841060')],
[Decimal('-626.9081401700757748402586600'), Decimal('-19311.25827814569536423841060')]])
# Cannot use the `assert_allclose` because it uses isfinite under the covers
# which does not support the Decimal type
# See issue: https://github.com/numpy/numpy/issues/9954
assert_equal(res[0][0], tgt[0][0])
assert_equal(res[0][1], tgt[0][1])
assert_equal(res[1][0], tgt[1][0])
assert_equal(res[1][1], tgt[1][1])
Example 8
| Project: Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda Author: PacktPublishing File: test_financial.py License: MIT License | 6 votes |
|
def test_pmt_decimal(self):
res = np.pmt(Decimal('0.08') / Decimal('12'), 5 * 12, 15000)
tgt = Decimal('-304.1459143262052370338701494')
assert_equal(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(Decimal('0'), Decimal('60'), Decimal('15000'))
tgt = -250
assert_equal(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[Decimal('0'), Decimal('0.8')], [Decimal('0.3'), Decimal('0.8')]],
[Decimal('12'), Decimal('3')], [Decimal('2000'), Decimal('20000')])
tgt = np.array([[Decimal('-166.6666666666666666666666667'), Decimal('-19311.25827814569536423841060')],
[Decimal('-626.9081401700757748402586600'), Decimal('-19311.25827814569536423841060')]])
# Cannot use the `assert_allclose` because it uses isfinite under the covers
# which does not support the Decimal type
# See issue: https://github.com/numpy/numpy/issues/9954
assert_equal(res[0][0], tgt[0][0])
assert_equal(res[0][1], tgt[0][1])
assert_equal(res[1][0], tgt[1][0])
assert_equal(res[1][1], tgt[1][1])
Example 9
| Project: twitter-stock-recommendation Author: alvarobartt File: test_financial.py License: MIT License | 6 votes |
|
def test_pmt_decimal(self):
res = np.pmt(Decimal('0.08') / Decimal('12'), 5 * 12, 15000)
tgt = Decimal('-304.1459143262052370338701494')
assert_equal(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(Decimal('0'), Decimal('60'), Decimal('15000'))
tgt = -250
assert_equal(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[Decimal('0'), Decimal('0.8')], [Decimal('0.3'), Decimal('0.8')]],
[Decimal('12'), Decimal('3')], [Decimal('2000'), Decimal('20000')])
tgt = np.array([[Decimal('-166.6666666666666666666666667'), Decimal('-19311.25827814569536423841060')],
[Decimal('-626.9081401700757748402586600'), Decimal('-19311.25827814569536423841060')]])
# Cannot use the `assert_allclose` because it uses isfinite under the covers
# which does not support the Decimal type
# See issue: https://github.com/numpy/numpy/issues/9954
assert_equal(res[0][0], tgt[0][0])
assert_equal(res[0][1], tgt[0][1])
assert_equal(res[1][0], tgt[1][0])
assert_equal(res[1][1], tgt[1][1])
Example 10
| Project: recruit Author: Frank-qlu File: test_financial.py License: Apache License 2.0 | 5 votes |
|
def test_rate(self):
assert_almost_equal(
np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example 11
| Project: recruit Author: Frank-qlu File: test_financial.py License: Apache License 2.0 | 5 votes |
|
def test_rate_decimal(self):
rate = np.rate(Decimal('10'), Decimal('0'), Decimal('-3500'), Decimal('10000'))
assert_equal(Decimal('0.1106908537142689284704528100'), rate)
Example 12
| Project: recruit Author: Frank-qlu File: test_financial.py License: Apache License 2.0 | 5 votes |
|
def test_pmt(self):
res = np.pmt(0.08 / 12, 5 * 12, 15000)
tgt = -304.145914
assert_allclose(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(0.0, 5 * 12, 15000)
tgt = -250.0
assert_allclose(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[0.0, 0.8], [0.3, 0.8]], [12, 3], [2000, 20000])
tgt = np.array([[-166.66667, -19311.258], [-626.90814, -19311.258]])
assert_allclose(res, tgt)
Example 13
| Project: lambda-packs Author: ryfeus File: test_financial.py License: MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example 14
| Project: lambda-packs Author: ryfeus File: test_financial.py License: MIT License | 5 votes |
|
def test_pmt(self):
res = np.pmt(0.08/12, 5*12, 15000)
tgt = -304.145914
assert_allclose(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(0.0, 5*12, 15000)
tgt = -250.0
assert_allclose(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[0.0, 0.8],[0.3, 0.8]],[12, 3],[2000, 20000])
tgt = np.array([[-166.66667, -19311.258],[-626.90814, -19311.258]])
assert_allclose(res, tgt)
Example 15
| Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_financial.py License: MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example 16
| Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_financial.py License: MIT License | 5 votes |
|
def test_pmt(self):
res = np.pmt(0.08/12, 5*12, 15000)
tgt = -304.145914
assert_allclose(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(0.0, 5*12, 15000)
tgt = -250.0
assert_allclose(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[0.0, 0.8],[0.3, 0.8]],[12, 3],[2000, 20000])
tgt = np.array([[-166.66667, -19311.258],[-626.90814, -19311.258]])
assert_allclose(res, tgt)
Example 17
| Project: vnpy_crypto Author: birforce File: test_financial.py License: MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(
np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example 18
| Project: vnpy_crypto Author: birforce File: test_financial.py License: MIT License | 5 votes |
|
def test_rate_decimal(self):
rate = np.rate(Decimal('10'), Decimal('0'), Decimal('-3500'), Decimal('10000'))
assert_equal(Decimal('0.1106908537142689284704528100'), rate)
Example 19
| Project: vnpy_crypto Author: birforce File: test_financial.py License: MIT License | 5 votes |
|
def test_pmt(self):
res = np.pmt(0.08 / 12, 5 * 12, 15000)
tgt = -304.145914
assert_allclose(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(0.0, 5 * 12, 15000)
tgt = -250.0
assert_allclose(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[0.0, 0.8], [0.3, 0.8]], [12, 3], [2000, 20000])
tgt = np.array([[-166.66667, -19311.258], [-626.90814, -19311.258]])
assert_allclose(res, tgt)
Example 20
| Project: Computable Author: ktraunmueller File: test_financial.py License: MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example 21
| Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_financial.py License: MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(
np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example 22
| Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_financial.py License: MIT License | 5 votes |
|
def test_rate_decimal(self):
rate = np.rate(Decimal('10'), Decimal('0'), Decimal('-3500'), Decimal('10000'))
assert_equal(Decimal('0.1106908537142689284704528100'), rate)
Example 23
| Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_financial.py License: MIT License | 5 votes |
|
def test_pmt(self):
res = np.pmt(0.08 / 12, 5 * 12, 15000)
tgt = -304.145914
assert_allclose(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(0.0, 5 * 12, 15000)
tgt = -250.0
assert_allclose(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[0.0, 0.8], [0.3, 0.8]], [12, 3], [2000, 20000])
tgt = np.array([[-166.66667, -19311.258], [-626.90814, -19311.258]])
assert_allclose(res, tgt)
Example 24
| Project: GraphicDesignPatternByPython Author: Relph1119 File: test_financial.py License: MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(
np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example 25
| Project: GraphicDesignPatternByPython Author: Relph1119 File: test_financial.py License: MIT License | 5 votes |
|
def test_rate_decimal(self):
rate = np.rate(Decimal('10'), Decimal('0'), Decimal('-3500'), Decimal('10000'))
assert_equal(Decimal('0.1106908537142689284704528100'), rate)
Example 26
| Project: GraphicDesignPatternByPython Author: Relph1119 File: test_financial.py License: MIT License | 5 votes |
|
def test_pmt(self):
res = np.pmt(0.08 / 12, 5 * 12, 15000)
tgt = -304.145914
assert_allclose(res, tgt)
# Test the edge case where rate == 0.0
res = np.pmt(0.0, 5 * 12, 15000)
tgt = -250.0
assert_allclose(res, tgt)
# Test the case where we use broadcast and
# the arguments passed in are arrays.
res = np.pmt([[0.0, 0.8], [0.3, 0.8]], [12, 3], [2000, 20000])
tgt = np.array([[-166.66667, -19311.258], [-626.90814, -19311.258]])
assert_allclose(res, tgt)
Example 27
| Project: cashflows Author: jdvelasq File: tvmm.py License: MIT License | 5 votes |
|
def pvfv(pval=None, fval=None, nrate=None, nper=None, pyr=1, noprint=True):
"""Computes the missing argument (set to ``None``) in a model relating the
present value, the future value, the number of compoundig periods
and the nominal interest rate in a cashflow.
Args:
pval (float, list): Present value.
fval (float, list): Future 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 ``pvfv`` function computes and returns the missing value (``fval``,
``pval``, ``nper``, ``nrate``) in a model relating these variables.
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=fval, pmt=0, nrate=nrate, nper=nper, due=0, pyr=pyr, noprint=noprint)
Example 28
| Project: cashflows Author: jdvelasq File: tvmm.py License: 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)
Example 29
| Project: cashflows Author: jdvelasq File: tvmm.py License: 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
| Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_financial.py License: Apache License 2.0 | 5 votes |
|
def test_rate(self):
assert_almost_equal(
np.rate(10, 0, -3500, 10000),
0.1107, 4)
