python类ppmt()的实例源码

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)

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)

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)

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)

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)

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)

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]

def test_ppmt(self):
        np.round(np.ppmt(0.1/12, 1, 60, 55000), 2) == 710.25

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]

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)

def test_ppmt(self):
        np.round(np.ppmt(0.1/12, 1, 60, 55000), 2) == 710.25

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]

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)

def test_ppmt(self):
        np.round(np.ppmt(0.1/12, 1, 60, 55000), 2) == 710.25

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]

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)

def test_ppmt(self):
        np.round(np.ppmt(0.1/12, 1, 60, 55000), 2) == 710.25

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]

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)

def test_ppmt(self):
        np.round(np.ppmt(0.1/12, 1, 60, 55000), 2) == 710.25

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]

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)

def test_ppmt(self):
        np.round(np.ppmt(0.1/12, 1, 60, 55000), 2) == 710.25

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)