Update app.py

app.py

@@ -174,10 +174,6 @@ val_data = features.loc[train_split:]
 start = past + future
 end = start + train_split
 
-st.dataframe(features)
-st.dataframe(train_data)
-st.dataframe(val_data)
-
 myrangeend = int(split_fraction*mybacklogmax)
 #mycolumns = df[date_time_key]
 mycolumns = pd.RangeIndex(0, myrangeend).to_series()
@@ -188,6 +184,12 @@ x_train = train_data[[i for i in range(myrangeend)]].values
 #y_train = features.reindex(columns=mycolumns).iloc[start:end][[1]]
 y_train = mycolumns
 
+st.dataframe(features)
+st.dataframe(train_data)
+st.dataframe(val_data)
+st.dataframe(x_train)
+st.dataframe(y_train)
+
 sequence_length = int(past / step)
 x_end = len(val_data) - past - future