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]] represents 1 + 1*x + 2*y + 2*x*y
if axis=0 is x
and axis=1 is y
.
Parameters: 


Returns: 

See also
>>> 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.])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.polynomial.polynomial.polyder.html