本文整理汇总了Python中numpy.ppmt方法的典型用法代码示例。如果您正苦于以下问题：Python numpy.ppmt方法的具体用法？Python numpy.ppmt怎么用？Python numpy.ppmt使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类numpy的用法示例。
在下文中一共展示了numpy.ppmt方法的11个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_broadcast
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
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) 示例2: test_broadcast
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
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) 示例3: test_broadcast
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
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) 示例4: test_ppmt
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
def test_ppmt(self):
assert_equal(np.round(np.ppmt(0.1 / 12, 1, 60, 55000), 2), -710.25) 示例5: test_ppmt_decimal
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
def test_ppmt_decimal(self):
assert_equal(np.ppmt(Decimal('0.1') / Decimal('12'), Decimal('1'), Decimal('60'), Decimal('55000')),
Decimal('-710.2541257864217612489830917'))
# Two tests showing how Decimal is actually getting at a more exact result
# .23 / 12 does not come out nicely as a float but does as a decimal 示例6: test_ppmt_special_rate
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
def test_ppmt_special_rate(self):
assert_equal(np.round(np.ppmt(0.23 / 12, 1, 60, 10000000000), 8), -90238044.232277036) 示例7: test_ppmt_special_rate_decimal
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
def test_ppmt_special_rate_decimal(self):
# When rounded out to 8 decimal places like the float based test, this should not equal the same value
# as the float, substituted for the decimal
def raise_error_because_not_equal():
assert_equal(
round(np.ppmt(Decimal('0.23') / Decimal('12'), 1, 60, Decimal('10000000000')), 8),
Decimal('-90238044.232277036'))
assert_raises(AssertionError, raise_error_because_not_equal)
assert_equal(np.ppmt(Decimal('0.23') / Decimal('12'), 1, 60, Decimal('10000000000')),
Decimal('-90238044.2322778884413969909')) 示例8: _convert_when
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
def _convert_when(when):
#Test to see if when has already been converted to ndarray
#This will happen if one function calls another, for example ppmt
if isinstance(when, np.ndarray):
return when
try:
return _when_to_num[when]
except (KeyError, TypeError):
return [_when_to_num[x] for x in when] 示例9: ppmt
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
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) 示例10: test_ppmt
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
def test_ppmt(self):
np.round(np.ppmt(0.1/12, 1, 60, 55000), 2) == 710.25 示例11: ppmt
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import ppmt [as 别名]
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)