I have a simple function defined in the following snippet:
--- start ---
import numpy
def chebyshev(x, m):
'''Calculates Chebyshev functions of the first kind using the
trigonometric identities.'''
theta = numpy.where(
numpy.abs(x)=1.0,
numpy.arccos(x),
Bob Dowling rjd4+numpy at cam.ac.uk writes:
[clip]
I'm guessing that numpy.where() is evaluating the complete arccos and
arccosh arrays and therefore getting invalid arguments.
Now, I can turn off the warnings with numpy.seterr(invalid='ignore') but
that's not what I would regard as good
You may want to use this:
http://docs.scipy.org/doc/numpy/reference/generated/numpy.piecewise.html
Thank you. That's just what I needed.
Works a treat:
--- start ---
import numpy
def chebyshev(x, m):
'''Calculates Chebyshev functions of the first kind using the
trigonometric
On Fri, Nov 23, 2012 at 4:38 AM, Bob Dowling rjd4+nu...@cam.ac.uk wrote:
I have a simple function defined in the following snippet:
--- start ---
import numpy
def chebyshev(x, m):
'''Calculates Chebyshev functions of the first kind using the
trigonometric identities.'''
