| import numpy as np | |
| import pandas as pd | |
| year = '2017' # please specify the year, our experiments use 2019 | |
| gba_his = pd.read_hdf('gba_his_' + year +'.h5') | |
| value = gba_his.values | |
| value = value[:(31+28)*288, :] | |
| print(value.shape, value[value==0].shape) | |
| # np.savez('CA_District5.npz', data=value) | |
| datas = np.load('CA_District5.npz') | |
| print(datas.files) | |
| print(datas['data']) | |
| print(datas['data'].shape) | |
| adj = np.load('gba_rn_adj.npy') | |
| print(adj) | |
| print(adj.shape, adj.dtype) |