Python numpy.rate() Examples
The following are 30
code examples of numpy.rate().
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Example #1
| Source File: test_financial.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with 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 #2
| Source File: test_financial.py From Mastering-Elasticsearch-7.0 with 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
| Source File: test_financial.py From coffeegrindsize with 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
| Source File: test_financial.py From GraphicDesignPatternByPython with 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
| Source File: test_financial.py From vnpy_crypto with 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 #6
| Source File: test_financial.py From pySINDy with 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
| Source File: test_financial.py From twitter-stock-recommendation with 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
| Source File: test_financial.py From recruit with 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 #9
| Source File: test_financial.py From predictive-maintenance-using-machine-learning with 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 #10
| Source File: test_financial.py From pySINDy with 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 #11
| Source File: test_financial.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def test_rate(self):
assert_almost_equal(np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example #12
| Source File: test_financial.py From coffeegrindsize with 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 #13
| Source File: test_financial.py From mxnet-lambda with 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 #14
| Source File: test_financial.py From ImageFusion with MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example #15
| Source File: test_financial.py From pySINDy with 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 #16
| Source File: test_financial.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_rate(self):
assert_almost_equal(np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example #17
| Source File: test_financial.py From elasticintel with GNU General Public License v3.0 | 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 #18
| Source File: test_financial.py From coffeegrindsize with MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(
np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example #19
| Source File: test_financial.py From coffeegrindsize with 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 #20
| Source File: test_financial.py From predictive-maintenance-using-machine-learning with 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 #21
| Source File: test_financial.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(
np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example #22
| Source File: test_financial.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with 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
| Source File: test_financial.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with 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
| Source File: test_financial.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(
np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example #25
| Source File: test_financial.py From twitter-stock-recommendation with 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
| Source File: test_financial.py From twitter-stock-recommendation with 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
| Source File: test_financial.py From keras-lambda with MIT License | 5 votes |
|
def test_rate(self):
assert_almost_equal(np.rate(10, 0, -3500, 10000),
0.1107, 4)
Example #28
| Source File: test_financial.py From keras-lambda with 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 #29
| Source File: test_financial.py From Mastering-Elasticsearch-7.0 with 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 #30
| Source File: test_financial.py From recruit with 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)
