On 8/3/11 9:46 AM, Gökhan Sever wrote:
> In [23]: from netCDF4 import Dataset
>
> In [24]: f = Dataset("test.nc <http://test.nc>")
>
> In [25]: f.variables['reflectivity'].shape
> Out[25]: (6, 18909, 506)
>
> In [26]: f.variables['reflectivity'].size
> Out[26]: 57407724
>
> In [27]: f.variables['reflectivity'][:].dtype
> Out[27]: dtype('float32')
>
> In [28]: timeit z = f.variables['reflectivity'][:]
> 1 loops, best of 3: 731 ms per loopthat seems pretty fast, actually -- are you sure that [:] forces the full data read? It probably does, but I'm not totally sure. is "z" a numpy array object at that point? -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
