numpy.polynomial.chebyshev.chebder(c, m=1, scl=1, axis=0)
[source]
Differentiate a Chebyshev series.
Returns the Chebyshev series 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 series 1*T_0 + 2*T_1 + 3*T_2
while [[1,2],[1,2]] represents 1*T_0(x)*T_0(y) + 1*T_1(x)*T_0(y) +
2*T_0(x)*T_1(y) + 2*T_1(x)*T_1(y)
if axis=0 is x
and axis=1 is y
.
Parameters: 


Returns: 

See also
In general, the result of differentiating a Cseries needs to be “reprojected” onto the Cseries basis set. Thus, typically, the result of this function is “unintuitive,” albeit correct; see Examples section below.
>>> from numpy.polynomial import chebyshev as C >>> c = (1,2,3,4) >>> C.chebder(c) array([14., 12., 24.]) >>> C.chebder(c,3) array([96.]) >>> C.chebder(c,scl=1) array([14., 12., 24.]) >>> C.chebder(c,2,1) array([12., 96.])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.polynomial.chebyshev.chebder.html