A Monday 11 May 2009, Nils Wagner escrigué:
> Hi all,
>
> How can I convert a list of arrays into one array ?
>
> Nils
>
> >>> data
>
> [array([ 40. , 285.6,   45. , 285.3,   50. , 285.1,
>   55. , 284.8]), array([ 60. , 284.5,   65. , 282.8,
>   70. , 281.1,   75. , 280. ]), array([ 80. , 278.8,
>   85. , 278..1,   90. , 277.4,   95. , 276.9]), array([
> 100. , 276.3, 105. , 276.1, 110. , 275.9, 115. ,
> 275.7]), array([ 120. , 275.5, 125. , 275.2, 130. ,
> 274.8, 135. , 274.5]), array([ 140. , 274.1, 145. ,
> 273.7, 150. , 273.2, 155. , 272.7]), array([ 160. ,
> 272.2, 165. , 272.1, 170. , 272. , 175. , 271.8]),
> array([ 180. , 271.6, 185. , 271. , 190. , 270.3,
> 195. , 269.5]), array([ 200. , 268.5, 205. , 267.4,
> 210. , 266.1, 215. , 263.5]), array([ 220. , 260.1,
> 225. , 256.1, 230. , 249.9, 235. , 239.3]), array([
> 238.7, 186.2, 240., 160. , 245. , 119.7, 250. ,
> 111.3])]
>
> newdata=array([ 40. , 285.6,   45. , 285.3,   50. ,
> 285.1, 55. , 284.8, 60. , 284.5,   65. , 282.8, ...,
> 111.3])

Try np.concatenate:

In [9]: a = np.arange(10)

In [10]: b = np.arange(10,20)

In [11]: np.concatenate(l)
Out[11]:
array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
16, 17, 18, 19])

Hope that helps,

--
Francesc Alted

"One would expect people to feel threatened by the 'giant
brains or machines that think'. In fact, the frightening
computer becomes less frightening if it is used only to
simulate a familiar noncomputer."

-- Edsger W. Dykstra
   "On the cruelty of really teaching computer science"
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