[SciPy-User] [SciPy-user] ValueError: arrays must have same number of dimensions

[surfcast23]

Hi Tony,
  
 I tried you r translation and it works, but I still get the error

 line 50, in <module>     data = np.concatenate((v, k),axis = 0);
ValueError: arrays must have same number of dimensions

Thanks,
Khary



Tony Yu-3 wrote:
> 
> On Thu, Jun 28, 2012 at 11:48 AM, Jorge E. ´Sanchez Sanchez <
> hnry2k at hotmail.com> wrote:
> 
>>  Hi,
>>
>> it seems to me that you don't know that loops in python end before the
>> last index value of the loop,
>> you just need to do something like:
>>  Np1 = N+1
>> for j in range (1, Np1):
>>
>> HTH
>> Best Regards
>> Jorge
>>
> 
>>
>> > Date: Thu, 28 Jun 2012 08:32:47 -0700
>> > From: surfcast23 at gmail.com
>> > To: scipy-user at scipy.org
>> > Subject: [SciPy-User] [SciPy-user] ValueError: arrays must have same
>> number of dimensions
>>
>> >
>> >
>> > Hi I am trying to translate a Matlab code from Trefethen's Spectral
>> Methods
>> > in MATLAB to Python. I am running into a problem with numpy.concatenate
>> > wanting the arrays to have the same number of dimensions.
>> > Here is part of the Matlab code that I am rewriting
>> >
>> >
>> > N = 512; h = 2*pi/N; x = h*(1:N); t = 0; dt = h/4;
>> > a = .1;
>> > c = a + sin (x-1).^2;
>> > v = exp(-100*(x-1).^2); vold = exp(-100*(x-a*dt-1).^2);
>> >
>> > column = [0 .5*(-1).^(1:N-1).*cot((1:N-1)*h/2)];
>> > D = toeplitz(column,-column);
>> >
>> > % Time-stepping by leap frog formula:
>> > tmax = 15; tplot = .15; clf, drawnow, set(gcf,'renderer','zbuffer')
>> > plotgap = round(tplot/dt); dt = tplot/plotgap;
>> > nplots = round(tmax/tplot);
>> > data = [v; zeros(nplots,N)]; tdata = t;
>> >
>> >
>> > What I am trying in Python
>> >
>> > for j in range(1,N):
>>
> 
> [snip]
> 
> You actually don't need to loop. Your original matlab code translates
> fairly naturally into numpy code: the main difference being the
> substitution of `np.arange(N) + 1` for `[1:N]`, where `np.arange(N)` gives
> values from 0 to N - 1, as Jorge suggests (although it's not specific to
> loops).
> 
> Here's a rough translation (not tested against matlab output, so I could
> have made some errors in the translation).
> 
> Cheers,
> -Tony
> 
> #~~~ code
> import numpy as np
> from scipy.linalg import toeplitz
> from scipy.special import cotdg
> 
> N = 512
> h = 2 * np.pi/N
> x = h * (np.arange(N) + 1)
> t = 0
> dt = h / 4
> a = .1
> c = a + np.sin(x - 1)**2
> v = np.exp(-100 * (x - 1)**2)
> vold = np.exp(-100 * (x - a*dt - 1)**2)
> 
> i = np.arange(1, N)
> column = np.hstack([0, .5 * (-1**i) * cotdg(i * h/2)])
> D = toeplitz(column, -column)
> 
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> 
> 

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