numpy.polynomial.polynomial.polyder¶

numpy.polynomial.polynomial.
polyder
(c, m=1, scl=1, axis=0)[source]¶ Differentiate a polynomial.
Returns the polynomial coefficients c differentiated m times along axis. At each iteration the result is multiplied by scl (the scaling factor is for use in a linear change of variable). The argument c is an array of coefficients from low to high degree along each axis, e.g., [1,2,3] represents the polynomial
1 + 2*x + 3*x**2
while [[1,2],[1,2]] represents1 + 1*x + 2*y + 2*x*y
if axis=0 isx
and axis=1 isy
.Parameters:  c : array_like
Array of polynomial coefficients. If c is multidimensional the different axis correspond to different variables with the degree in each axis given by the corresponding index.
 m : int, optional
Number of derivatives taken, must be nonnegative. (Default: 1)
 scl : scalar, optional
Each differentiation is multiplied by scl. The end result is multiplication by
scl**m
. This is for use in a linear change of variable. (Default: 1) axis : int, optional
Axis over which the derivative is taken. (Default: 0).
New in version 1.7.0.
Returns:  der : ndarray
Polynomial coefficients of the derivative.
See also
Examples
>>> from numpy.polynomial import polynomial as P >>> c = (1,2,3,4) # 1 + 2x + 3x**2 + 4x**3 >>> P.polyder(c) # (d/dx)(c) = 2 + 6x + 12x**2 array([ 2., 6., 12.]) >>> P.polyder(c,3) # (d**3/dx**3)(c) = 24 array([24.]) >>> P.polyder(c,scl=1) # (d/d(x))(c) = 2  6x  12x**2 array([ 2., 6., 12.]) >>> P.polyder(c,2,1) # (d**2/d(x)**2)(c) = 6 + 24x array([ 6., 24.])