Python numpy.pv() 使用实例

The following are code examples for showing how to use . They are extracted from open source Python projects. You can vote up the examples you like or vote down the exmaples you don’t like. You can also save this page to your account.

Example 1

def generate_price_df(ticker,financialreportingdf,stockpricedf,discountrate,marginrate):
	dfprice = pd.DataFrame(columns =['ticker','annualgrowthrate','lasteps','futureeps'])
	pd.options.display.float_format = '{:20,.2f}'.format

	# Find EPS Annual Compounded Growth Rate
	annualgrowthrate =  financialreportingdf.epsgrowth.mean() #growth rate

	# Estimate stock price 10 years from now (Stock Price EPS * Average PE)
	lasteps = financialreportingdf.eps.tail(1).values[0] #presentvalue
	years  = 10 #period
	futureeps = abs(np.fv(annualgrowthrate,years,0,lasteps))
	dfprice.loc[0] = [ticker,annualgrowthrate,lasteps,futureeps]
	    
	dfprice.set_index('ticker',inplace=True)


	dfprice['lastshareprice']=stockpricedf.Close.tail(1).values[0]
	dfprice['peratio'] = dfprice['lastshareprice']/dfprice['lasteps']
	dfprice['futureshareprice'] = dfprice['futureeps']*dfprice['peratio']


	dfprice['presentshareprice'] = abs(np.pv(discountrate,years,0,fv=dfprice['futureshareprice']))
	dfprice['marginalizedprice'] = dfprice['presentshareprice']*(1-marginrate) 

	return dfprice 

Example 2

def test_pv(self):
        assert_almost_equal(np.pv(0.07, 20, 12000, 0), -127128.17, 2) 

Example 3

def assets_required(self):
        rate = self.financial_planning.real_gain()

        return numpy.pv(rate, self.duration_of_usufruct,
                        -self.remain_patrimony * 12) 

Example 4

def patrimony_necessery_in_period(self, mounth_quantities, value):
        rate = self.protection_manager.financial_planning.real_gain()
        return numpy.pv(rate, mounth_quantities, -value) 

Example 5

def _rbl(rate, per, pmt, pv, when):
    """
    This function is here to simply have a different name for the 'fv'
    function to not interfere with the 'fv' keyword argument within the 'ipmt'
    function.  It is the 'remaining balance on loan' which might be useful as
    it's own function, but is easily calculated with the 'fv' function.
    """
    return fv(rate, (per - 1), pmt, pv, when) 

Example 6

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 7

def test_pv(self):
        assert_almost_equal(np.pv(0.07, 20, 12000, 0), -127128.17, 2) 

Example 8

def _rbl(rate, per, pmt, pv, when):
    """
    This function is here to simply have a different name for the 'fv'
    function to not interfere with the 'fv' keyword argument within the 'ipmt'
    function.  It is the 'remaining balance on loan' which might be useful as
    it's own function, but is easily calculated with the 'fv' function.
    """
    return fv(rate, (per - 1), pmt, pv, when) 

Example 9

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 10

def test_pv(self):
        assert_almost_equal(np.pv(0.07, 20, 12000, 0), -127128.17, 2) 

Example 11

def _rbl(rate, per, pmt, pv, when):
    """
    This function is here to simply have a different name for the 'fv'
    function to not interfere with the 'fv' keyword argument within the 'ipmt'
    function.  It is the 'remaining balance on loan' which might be useful as
    it's own function, but is easily calculated with the 'fv' function.
    """
    return fv(rate, (per - 1), pmt, pv, when) 

Example 12

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 13

def test_pv(self):
        assert_almost_equal(np.pv(0.07, 20, 12000, 0), -127128.17, 2) 

Example 14

def _rbl(rate, per, pmt, pv, when):
    """
    This function is here to simply have a different name for the 'fv'
    function to not interfere with the 'fv' keyword argument within the 'ipmt'
    function.  It is the 'remaining balance on loan' which might be useful as
    it's own function, but is easily calculated with the 'fv' function.
    """
    return fv(rate, (per - 1), pmt, pv, when) 

Example 15

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 16

def test_pv(self):
        assert_almost_equal(np.pv(0.07, 20, 12000, 0), -127128.17, 2) 

Example 17

def _rbl(rate, per, pmt, pv, when):
    """
    This function is here to simply have a different name for the 'fv'
    function to not interfere with the 'fv' keyword argument within the 'ipmt'
    function.  It is the 'remaining balance on loan' which might be useful as
    it's own function, but is easily calculated with the 'fv' function.
    """
    return fv(rate, (per - 1), pmt, pv, when) 

Example 18

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

def test_pv(self):
        assert_almost_equal(np.pv(0.07, 20, 12000, 0), -127128.17, 2) 

Example 20

def _rbl(rate, per, pmt, pv, when):
    """
    This function is here to simply have a different name for the 'fv'
    function to not interfere with the 'fv' keyword argument within the 'ipmt'
    function.  It is the 'remaining balance on loan' which might be useful as
    it's own function, but is easily calculated with the 'fv' function.
    """
    return fv(rate, (per - 1), pmt, pv, when) 

Example 21

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 22

def rate(nper, pmt, pv, fv, when='end', guess=0.10, tol=1e-6, maxiter=100):
    """
    Compute the rate of interest per period.

    Parameters
    ----------
    nper : array_like
        Number of compounding periods
    pmt : array_like
        Payment
    pv : array_like
        Present value
    fv : array_like
        Future value
    when : {{'begin', 1}, {'end', 0}}, {string, int}, optional
        When payments are due ('begin' (1) or 'end' (0))
    guess : float, optional
        Starting guess for solving the rate of interest
    tol : float, optional
        Required tolerance for the solution
    maxiter : int, optional
        Maximum iterations in finding the solution

    Notes
    -----
    The rate of interest is computed by iteratively solving the
    (non-linear) equation::

     fv + pv*(1+rate)**nper + pmt*(1+rate*when)/rate * ((1+rate)**nper - 1) = 0

    for ``rate``.

    References
    ----------
    Wheeler, D. A., E. Rathke, and R. Weir (Eds.) (2009, May). Open Document
    Format for Office Applications (OpenDocument)v1.2, Part 2: Recalculated
    Formula (OpenFormula) Format - Annotated Version, Pre-Draft 12.
    Organization for the Advancement of Structured Information Standards
    (OASIS). Billerica, MA, USA. [ODT Document]. Available:
    http://www.oasis-open.org/committees/documents.php?wg_abbrev=office-formula
    OpenDocument-formula-20090508.odt

    """
    when = _convert_when(when)
    (nper, pmt, pv, fv, when) = map(np.asarray, [nper, pmt, pv, fv, when])
    rn = guess
    iter = 0
    close = False
    while (iter < maxiter) and not close:
        rnp1 = rn - _g_div_gp(rn, nper, pmt, pv, fv, when)
        diff = abs(rnp1-rn)
        close = np.all(diff < tol)
        iter += 1
        rn = rnp1
    if not close:
        # Return nan's in array of the same shape as rn
        return np.nan + rn
    else:
        return rn 

Example 23

def rate(nper, pmt, pv, fv, when='end', guess=0.10, tol=1e-6, maxiter=100):
    """
    Compute the rate of interest per period.

    Parameters
    ----------
    nper : array_like
        Number of compounding periods
    pmt : array_like
        Payment
    pv : array_like
        Present value
    fv : array_like
        Future value
    when : {{'begin', 1}, {'end', 0}}, {string, int}, optional
        When payments are due ('begin' (1) or 'end' (0))
    guess : float, optional
        Starting guess for solving the rate of interest
    tol : float, optional
        Required tolerance for the solution
    maxiter : int, optional
        Maximum iterations in finding the solution

    Notes
    -----
    The rate of interest is computed by iteratively solving the
    (non-linear) equation::

     fv + pv*(1+rate)**nper + pmt*(1+rate*when)/rate * ((1+rate)**nper - 1) = 0

    for ``rate``.

    References
    ----------
    Wheeler, D. A., E. Rathke, and R. Weir (Eds.) (2009, May). Open Document
    Format for Office Applications (OpenDocument)v1.2, Part 2: Recalculated
    Formula (OpenFormula) Format - Annotated Version, Pre-Draft 12.
    Organization for the Advancement of Structured Information Standards
    (OASIS). Billerica, MA, USA. [ODT Document]. Available:
    http://www.oasis-open.org/committees/documents.php?wg_abbrev=office-formula
    OpenDocument-formula-20090508.odt

    """
    when = _convert_when(when)
    (nper, pmt, pv, fv, when) = map(np.asarray, [nper, pmt, pv, fv, when])
    rn = guess
    iter = 0
    close = False
    while (iter < maxiter) and not close:
        rnp1 = rn - _g_div_gp(rn, nper, pmt, pv, fv, when)
        diff = abs(rnp1-rn)
        close = np.all(diff < tol)
        iter += 1
        rn = rnp1
    if not close:
        # Return nan's in array of the same shape as rn
        return np.nan + rn
    else:
        return rn 

Example 24

def rate(nper, pmt, pv, fv, when='end', guess=0.10, tol=1e-6, maxiter=100):
    """
    Compute the rate of interest per period.

    Parameters
    ----------
    nper : array_like
        Number of compounding periods
    pmt : array_like
        Payment
    pv : array_like
        Present value
    fv : array_like
        Future value
    when : {{'begin', 1}, {'end', 0}}, {string, int}, optional
        When payments are due ('begin' (1) or 'end' (0))
    guess : float, optional
        Starting guess for solving the rate of interest
    tol : float, optional
        Required tolerance for the solution
    maxiter : int, optional
        Maximum iterations in finding the solution

    Notes
    -----
    The rate of interest is computed by iteratively solving the
    (non-linear) equation::

     fv + pv*(1+rate)**nper + pmt*(1+rate*when)/rate * ((1+rate)**nper - 1) = 0

    for ``rate``.

    References
    ----------
    Wheeler, D. A., E. Rathke, and R. Weir (Eds.) (2009, May). Open Document
    Format for Office Applications (OpenDocument)v1.2, Part 2: Recalculated
    Formula (OpenFormula) Format - Annotated Version, Pre-Draft 12.
    Organization for the Advancement of Structured Information Standards
    (OASIS). Billerica, MA, USA. [ODT Document]. Available:
    http://www.oasis-open.org/committees/documents.php?wg_abbrev=office-formula
    OpenDocument-formula-20090508.odt

    """
    when = _convert_when(when)
    (nper, pmt, pv, fv, when) = map(np.asarray, [nper, pmt, pv, fv, when])
    rn = guess
    iter = 0
    close = False
    while (iter < maxiter) and not close:
        rnp1 = rn - _g_div_gp(rn, nper, pmt, pv, fv, when)
        diff = abs(rnp1-rn)
        close = np.all(diff < tol)
        iter += 1
        rn = rnp1
    if not close:
        # Return nan's in array of the same shape as rn
        return np.nan + rn
    else:
        return rn 

Example 25

def rate(nper, pmt, pv, fv, when='end', guess=0.10, tol=1e-6, maxiter=100):
    """
    Compute the rate of interest per period.

    Parameters
    ----------
    nper : array_like
        Number of compounding periods
    pmt : array_like
        Payment
    pv : array_like
        Present value
    fv : array_like
        Future value
    when : {{'begin', 1}, {'end', 0}}, {string, int}, optional
        When payments are due ('begin' (1) or 'end' (0))
    guess : float, optional
        Starting guess for solving the rate of interest
    tol : float, optional
        Required tolerance for the solution
    maxiter : int, optional
        Maximum iterations in finding the solution

    Notes
    -----
    The rate of interest is computed by iteratively solving the
    (non-linear) equation::

     fv + pv*(1+rate)**nper + pmt*(1+rate*when)/rate * ((1+rate)**nper - 1) = 0

    for ``rate``.

    References
    ----------
    Wheeler, D. A., E. Rathke, and R. Weir (Eds.) (2009, May). Open Document
    Format for Office Applications (OpenDocument)v1.2, Part 2: Recalculated
    Formula (OpenFormula) Format - Annotated Version, Pre-Draft 12.
    Organization for the Advancement of Structured Information Standards
    (OASIS). Billerica, MA, USA. [ODT Document]. Available:
    http://www.oasis-open.org/committees/documents.php?wg_abbrev=office-formula
    OpenDocument-formula-20090508.odt

    """
    when = _convert_when(when)
    (nper, pmt, pv, fv, when) = map(np.asarray, [nper, pmt, pv, fv, when])
    rn = guess
    iter = 0
    close = False
    while (iter < maxiter) and not close:
        rnp1 = rn - _g_div_gp(rn, nper, pmt, pv, fv, when)
        diff = abs(rnp1-rn)
        close = np.all(diff < tol)
        iter += 1
        rn = rnp1
    if not close:
        # Return nan's in array of the same shape as rn
        return np.nan + rn
    else:
        return rn 

Example 26

def rate(nper, pmt, pv, fv, when='end', guess=0.10, tol=1e-6, maxiter=100):
    """
    Compute the rate of interest per period.

    Parameters
    ----------
    nper : array_like
        Number of compounding periods
    pmt : array_like
        Payment
    pv : array_like
        Present value
    fv : array_like
        Future value
    when : {{'begin', 1}, {'end', 0}}, {string, int}, optional
        When payments are due ('begin' (1) or 'end' (0))
    guess : float, optional
        Starting guess for solving the rate of interest
    tol : float, optional
        Required tolerance for the solution
    maxiter : int, optional
        Maximum iterations in finding the solution

    Notes
    -----
    The rate of interest is computed by iteratively solving the
    (non-linear) equation::

     fv + pv*(1+rate)**nper + pmt*(1+rate*when)/rate * ((1+rate)**nper - 1) = 0

    for ``rate``.

    References
    ----------
    Wheeler, D. A., E. Rathke, and R. Weir (Eds.) (2009, May). Open Document
    Format for Office Applications (OpenDocument)v1.2, Part 2: Recalculated
    Formula (OpenFormula) Format - Annotated Version, Pre-Draft 12.
    Organization for the Advancement of Structured Information Standards
    (OASIS). Billerica, MA, USA. [ODT Document]. Available:
    http://www.oasis-open.org/committees/documents.php?wg_abbrev=office-formula
    OpenDocument-formula-20090508.odt

    """
    when = _convert_when(when)
    (nper, pmt, pv, fv, when) = map(np.asarray, [nper, pmt, pv, fv, when])
    rn = guess
    iter = 0
    close = False
    while (iter < maxiter) and not close:
        rnp1 = rn - _g_div_gp(rn, nper, pmt, pv, fv, when)
        diff = abs(rnp1-rn)
        close = np.all(diff < tol)
        iter += 1
        rn = rnp1
    if not close:
        # Return nan's in array of the same shape as rn
        return np.nan + rn
    else:
        return rn 

Example 27

def rate(nper, pmt, pv, fv, when='end', guess=0.10, tol=1e-6, maxiter=100):
    """
    Compute the rate of interest per period.

    Parameters
    ----------
    nper : array_like
        Number of compounding periods
    pmt : array_like
        Payment
    pv : array_like
        Present value
    fv : array_like
        Future value
    when : {{'begin', 1}, {'end', 0}}, {string, int}, optional
        When payments are due ('begin' (1) or 'end' (0))
    guess : float, optional
        Starting guess for solving the rate of interest
    tol : float, optional
        Required tolerance for the solution
    maxiter : int, optional
        Maximum iterations in finding the solution

    Notes
    -----
    The rate of interest is computed by iteratively solving the
    (non-linear) equation::

     fv + pv*(1+rate)**nper + pmt*(1+rate*when)/rate * ((1+rate)**nper - 1) = 0

    for ``rate``.

    References
    ----------
    Wheeler, D. A., E. Rathke, and R. Weir (Eds.) (2009, May). Open Document
    Format for Office Applications (OpenDocument)v1.2, Part 2: Recalculated
    Formula (OpenFormula) Format - Annotated Version, Pre-Draft 12.
    Organization for the Advancement of Structured Information Standards
    (OASIS). Billerica, MA, USA. [ODT Document]. Available:
    http://www.oasis-open.org/committees/documents.php?wg_abbrev=office-formula
    OpenDocument-formula-20090508.odt

    """
    when = _convert_when(when)
    (nper, pmt, pv, fv, when) = map(np.asarray, [nper, pmt, pv, fv, when])
    rn = guess
    iter = 0
    close = False
    while (iter < maxiter) and not close:
        rnp1 = rn - _g_div_gp(rn, nper, pmt, pv, fv, when)
        diff = abs(rnp1-rn)
        close = np.all(diff < tol)
        iter += 1
        rn = rnp1
    if not close:
        # Return nan's in array of the same shape as rn
        return np.nan + rn
    else:
        return rn 
点赞

发表评论

电子邮件地址不会被公开。 必填项已用*标注