[~] Refactor

python/tasks/mlb_player.py

@@ -37,10 +37,21 @@ def kernel_1():
         t3=t3,
     )
 
-def kernel_2(o_1):
+def kernel_2(
+    o_1=None,
+):
+    t1 = {}
+
+    for k in [
+        'playerTwitterFollowers',
+        'teamTwitterFollowers',
+        'games',
+        'events'
+    ]:
+        t4 = '%s.nc' % k
+        if not os.path.exists(k):
             t2 = '/kaggle/input/mlb-player-digital-engagement-forecasting/train.csv'
-    t1 = {
+            t3 = pandas.DataFrame(
-        k : pandas.DataFrame(
                 sum(
                     [
                         json.loads(o)
@@ -50,13 +61,7 @@ def kernel_2(o_1):
                     []
                 )
             ).to_xarray()
-        for k in [
+        t1[k] = xarray.load_dataset(t4)
-            'playerTwitterFollowers',
-            'teamTwitterFollowers',
-            'games',
-            'events'
-        ]
-    }
 
     return dict(
         t1=t1,