numpy - Python indexing issue (converting MATLAB code) -
i'm trying convert piece of matlab code python , running problem.
t = linspace(0,1,256); s = sin(2*pi*(2*t+5*t.^2)); h = conj(s(length(s):-1:1));
the above line h
meant calculate impulse response, python code:
import numpy np t = np.linspace(0,1,256) s = np.sin(2*np.pi*(2*t+5*t**2)) h = np.conj(s[len(s),-1,1])
gives me error indexerror: index 256 out of bounds axis 0 size 256
. know has indexing s
array, how can prepare it?
remember python zero-indexed, while matlab 1-indexed. note matlab piece notation includes endpoint, whereas python piece notation excludes endpoint.
s(length(s):-1:1)
mutual matlab idiom reversing vector. python has nicer syntax: s[::-1]
. direct translation s[len(s)-1:-1:-1]
.
also note matlab start:step:stop
corresponds python start:stop:step
; position of step
argument different.
python numpy
No comments:
Post a Comment