| import numpy as np | |
| import pandas as pd | |
| import h5py | |
| import torch | |
| # class StandardScaler: | |
| # """ | |
| # Standard the input | |
| # """ | |
| # | |
| # def __init__(self, mean, std): | |
| # self.mean = mean | |
| # self.std = std | |
| # | |
| # def transform(self, data): | |
| # return (data - self.mean) / self.std | |
| # | |
| # def inverse_transform(self, data): | |
| # if type(data) == torch.Tensor and type(self.mean) == np.ndarray: | |
| # self.std = torch.from_numpy(self.std).to(data.device).type(data.dtype) | |
| # self.mean = torch.from_numpy(self.mean).to(data.device).type(data.dtype) | |
| # return (data * self.std) + self.mean | |
| # | |
| # f_bike = h5py.File('bike_data.h5','r') | |
| # f_bike.keys() | |
| # print([key for key in f_bike.keys()]) | |
| # | |
| # f_graph= h5py.File('all_graph.h5','r') | |
| # f_graph.keys() | |
| # print([key for key in f_graph.keys()]) | |
| # bike_graph = f_graph['dis_bb'][:] | |
| # print(f_graph['pcc_bb'][:].shape, f_graph['pcc_bb'][:]) | |
| # print(f_graph['trans_bb'][:].shape, f_graph['trans_bb'][:]) | |
| # bike_drop = np.expand_dims(f_bike['bike_drop'][:], axis=-1) | |
| # bike_pick = np.expand_dims(f_bike['bike_pick'][:], axis=-1) | |
| # | |
| # print(bike_drop[bike_drop==0].shape, bike_pick[bike_pick==0].shape) | |
| # | |
| # bike_demand = np.concatenate([bike_drop, bike_pick], axis=-1) | |
| # # np.savez('NYC_BIKE.npz', data=bike_demand) | |
| datas = np.load('NYC_BIKE.npz') | |
| print(datas.files) | |
| print(datas['data']) | |
| print(datas['data'].shape) | |
| # np.savetxt("NYC_BIKE.csv", bike_graph, delimiter=",") | |
| A = pd.read_csv("NYC_BIKE.csv", header=None).values.astype(np.float32) | |
| print(A.shape) | |
| print(A) | |
| # k = datas['data'] | |
| # print(k.dtype, k[k==0].shape, k[k<0.1].shape) | |
| # scaler_data = StandardScaler(k.mean(), k.std()) | |
| # k = torch.FloatTensor(k) | |
| # trans1 = scaler_data.transform(k) | |
| # trans2 = scaler_data.inverse_transform(trans1) | |
| # | |
| # print(trans2.dtype, trans2[trans2==0].shape) |