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Please download the data with _wg suffix here: https://drive.google.com/folderview?id=0BwQc_CC3arWWMTNYaEpCOHlKZmc&usp=sharing
And look at nanmax(), unique() etc of columns and the number of entries to see if it makes sense.
The text was updated successfully, but these errors were encountered:
It works like this:
import h5py import numpy as np >>> h5 = h5py.File('hourly_database.hdf5', 'r'); data = h5['weather_data'][:] >>> np.unique(data[:,2]) array([ 0.00000000e+00, 1.00000000e+00, 4.00000000e+00, 2.01606212e+11])
Beware that the data is padded with rows of zero from the bottom.
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inesw
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Please download the data with _wg suffix here: https://drive.google.com/folderview?id=0BwQc_CC3arWWMTNYaEpCOHlKZmc&usp=sharing
And look at nanmax(), unique() etc of columns and the number of entries to see if it makes sense.
The text was updated successfully, but these errors were encountered: