Open erensezener opened 8 years ago
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.
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.