Okay?? 

That does seem to work... I guess I'd better go read up on index_tricks.py ? 

Thanks.


Alan G Isaac wrote:
> 
>>>> x1,y1,x2,y2 =np.random.random((4,20))
>>>> data = dict(var1=(x1,y1), var2=(x2,y2))
>>>> a = np.c_[[d for xy in data.values() for d in xy]]
>>>> a
> array([[ 0.66613738,  0.39154179,  0.52399694,  0.54694366,  0.52103419,
>          0.06023608,  0.03752003,  0.14947236,  0.56515257,  0.03980963,
>          0.08809146,  0.27861545,  0.62107655,  0.01718959,  0.40346171,
>          0.8438409 ,  0.84710117,  0.49979344,  0.93686618,  0.07087815],
>        [ 0.60181235,  0.1171198 ,  0.40210686,  0.12248918,  0.73587718,
>          0.82907553,  0.04241232,  0.82834355,  0.89439919,  0.6477373 ,
>          0.88697623,  0.12711133,  0.08061116,  0.96609631,  0.69845226,
>          0.32363392,  0.05150339,  0.05108155,  0.66766576,  0.93701382],
>        [ 0.85075356,  0.12107294,  0.33732861,  0.22221564,  0.04249297,
>          0.54150883,  0.16414129,  0.93346553,  0.52176851,  0.24449367,
>          0.5526363 ,  0.23359769,  0.40763005,  0.62820355,  0.70694987,
>          0.51204826,  0.15503887,  0.58975501,  0.32507773,  0.76876558],
>        [ 0.54390474,  0.30364361,  0.8469127 ,  0.79118699,  0.88471469,
>          0.98490908,  0.03890524,  0.52584869,  0.08669779,  0.42734853,
>          0.17571326,  0.33677747,  0.3046382 ,  0.17856421,  0.26186241,
>          0.2688219 ,  0.97639377,  0.85320323,  0.84821184,  0.31592768]])
>>>>
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