add a simple dataset for stgcn

examples/stgcn/README.md

@@ -23,7 +23,7 @@ You can make your customized dataset by the following format:
 
 For examples, use gpu to train STGCN on your dataset.
 ```
-python main.py --use_cuda --input_file dataset/input_csv --label_file dataset/output.csv --adj_mat_file dataset/W.csv --city_file dataset/city.csv 
+python main.py --use_cuda --input_file dataset/input.csv --label_file dataset/output.csv --adj_mat_file dataset/W.csv --city_file dataset/city.csv 
 ```
 
 #### Hyperparameters

examples/stgcn/data_loader/data_utils.py

@@ -167,9 +167,6 @@ def data_gen_mydata(input_file, label_file, n, n_his, n_pred, n_config):
     x = x.drop(columns=['date'])
     y = y.drop(columns=['date'])
 
-    x = x.drop(columns=['武汉'])
-    y = y.drop(columns=['武汉'])
-
     # param
     n_val, n_test = n_config
     n_train = len(y) - n_val - n_test - 2

examples/stgcn/dataset/W.csv

+0,3409,2025,509,13098
+2404,0,2207,3654,9485
+21926,18619,0,955,1308
+20160,12493,170,0,1906
+611,572,1204,1066,0

examples/stgcn/dataset/city.csv

+num,city
+0,A
+1,B
+2,C
+3,D
+4,E
+

examples/stgcn/dataset/input.csv

+date,A,B,C,D,E
+2327/1/1,178,3907,2907,1170,832
+2327/1/2,220,2720,2548,1370,1039
+2327/1/3,222,5065,4286,2051,1582
+2327/1/4,183,5291,4626,2096,1614
+2327/1/5,172,3916,3538,1726,1349
+2327/1/6,219,4079,4110,2044,1701
+2327/1/7,220,4707,4673,2589,2177
+2327/1/8,222,5306,5512,3015,2463
+2327/1/9,215,5762,5802,3184,2558
+2327/1/10,217,4977,4641,2659,2185
+2327/1/11,186,6849,6106,3092,2310
+2327/1/12,175,5953,4986,2521,1769
+2327/1/13,215,5270,4983,2559,1818
+2327/1/14,213,5304,5307,2516,1707
+2327/1/15,205,5499,5684,2659,1633
+2327/1/16,205,5811,6531,2920,1793
+2327/1/17,222,6397,7745,3159,2036
+2327/1/18,253,7759,9681,4011,2331
+2327/1/19,859,8791,8215,4507,2480
+2327/1/20,837,10348,9960,5655,3167
+2327/1/21,931,12782,13621,7107,4291
+2327/1/22,1048,15298,16222,8206,4730
+2327/1/23,835,16287,14803,6504,3679
+2327/1/24,635,4806,3970,1551,816
+2327/1/25,511,1028,1023,401,205
+2327/1/26,387,483,632,249,111
+2327/1/27,459,457,591,209,126
+2327/1/28,1073,513,707,234,176
+2327/1/29,1301,651,932,276,264
+2327/1/30,1502,757,1266,369,302
+2327/1/31,1823,972,1286,490,487
+2327/2/1,2219,1113,1594,579,548
+2327/2/2,2719,1345,2172,695,703
+2327/2/3,3563,1556,2517,931,823
+2327/2/4,4335,1824,2837,1095,928
+2327/2/5,5568,2343,3323,1244,1043
+2327/2/6,6070,2917,3420,1295,1054
+2327/2/7,7169,3278,3758,1516,1185
+2327/2/8,8284,3616,3982,1639,1333
+2327/2/9,9229,3799,4200,1726,1418
+2327/2/10,10425,3876,4334,1750,1449
+2327/2/11,11213,3920,4522,1818,1484
+2327/2/12,11653,4106,4831,1881,1512
+2327/2/13,20427,4343,5413,2537,1570
+2327/2/14,24164,4666,5914,2636,1607
+2327/2/15,22608,4901,5546,2812,1557

examples/stgcn/dataset/output.csv

+date,A,B,C,D,E
+2327/1/24,70,22,0,2,0
+2327/1/25,77,4,52,2,1
+2327/1/26,46,29,58,23,7
+2327/1/27,80,45,32,14,28
+2327/1/28,892,73,59,24,34
+2327/1/29,315,101,111,30,61
+2327/1/30,356,125,172,50,32
+2327/1/31,378,142,77,70,123
+2327/2/1,576,87,153,66,61
+2327/2/2,894,121,276,46,94
+2327/2/3,1033,169,244,166,107
+2327/2/4,1242,202,176,114,84
+2327/2/5,1967,342,223,100,103
+2327/2/6,1766,424,162,88,52
+2327/2/7,1501,255,90,84,51
+2327/2/8,1985,172,144,56,69
+2327/2/9,1379,123,100,56,81
+2327/2/10,1920,105,111,48,31
+2327/2/11,1552,101,80,30,44
+2327/2/12,1104,109,66,35,25
+2327/2/13,13436,123,264,321,13
+2327/2/14,2997,135,129,16,10
+2327/2/15,1923,105,26,31,17
+2327/2/16,1548,87,6,12,16

examples/stgcn/main.py

@@ -124,7 +124,7 @@ def main(args):
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
-    parser.add_argument('--n_route', type=int, default=74)
+    parser.add_argument('--n_route', type=int, default=5)
     parser.add_argument('--n_his', type=int, default=23)
     parser.add_argument('--n_pred', type=int, default=3)
     parser.add_argument('--batch_size', type=int, default=10)