Update app.py

app.py

@@ -174,6 +174,10 @@ 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()
@@ -195,8 +199,7 @@ x_val = val_data.reindex(columns=mycolumns)
 x_val = x_val.iloc[:x_end][[i for i in range(myrangeend)]].values
 y_val = features.reindex(columns=mycolumns)
 y_val = y_val.iloc[label_start:][[1]]
-st.dataframe(x_val)
-st.dataframe(y_val)
+
 
 dataset_val = keras.preprocessing.timeseries_dataset_from_array(
     x_val,
@@ -246,3 +249,4 @@ fig = plot()
 st.pyplot(fig)
 
 # %%
+