bug fix

app.py

@@ -59,10 +59,10 @@ def predict(_model, _dataloader, datepicker):
     preds = raw_preds_to_df(out, quantiles = None)
     return preds[["pred_idx", "Group", "pred"]]
 
-def update_plot(df, preds):
+def update_plot(df, preds, axs):
     df = pd.merge(df, preds, left_on=["time_idx", "Group"], right_on=["pred_idx", "Group"], how = "left")
     df = df[~df["pred"].isna()]
-    #df[["sales", "pred"]] = df[["sales", "pred"]].replace(0.0, np.nan)
+    df[["sales", "pred"]] = df[["sales", "pred"]].replace(0.0, np.nan)
 
     axs[0, 0].plot(df.loc[df['Group'] == '4', 'Date'], df.loc[df['Group'] == '4', 'pred'], color = 'red')
     axs[0, 1].plot(df.loc[df['Group'] == '7', 'Date'], df.loc[df['Group'] == '4', 'pred'], color = 'red')
@@ -73,7 +73,7 @@ def update_plot(df, preds):
 @st.cache_resource
 def generate_plot(df):
     fig, axs = plt.subplots(2, 2, figsize=(8, 6))
-
+    df[["sales", "pred"]] = df[["sales", "pred"]].replace(0.0, np.nan)
     # Plot scatter plots for each group
     axs[0, 0].plot(df.loc[df['Group'] == '4', 'Date'], df.loc[df['Group'] == '4', 'sales'], color='grey')
     
@@ -87,7 +87,7 @@ def generate_plot(df):
     axs[1, 1].plot(df.loc[df['Group'] == '6', 'Date'], df.loc[df['Group'] == '6', 'sales'], color='grey')
     axs[1, 1].set_title('Article Group 4')
     plt.tight_layout()
-    st.pyplot(fig)
+    return fig, axs
 
 @st.cache_data
 def load_data():
@@ -142,12 +142,14 @@ def main():
     
     datepicker = st.date_input("Start of Forecast", datetime.date(2022, 10, 24), min_value=datetime.date(2022, 6, 26) + datetime.timedelta(days = 35), max_value=datetime.date(2023, 6, 26) - datetime.timedelta(days = 30))
 
-    generate_plot(df)
+    fig, axs = generate_plot(df)
+
+    st.pyplot(fig)
 
     if st.button("Forecast Sales", type="primary"):
         dataloader = prepare_dataset(parameters, df.copy(), rain, temperature, datepicker, rain_mapping)
         preds = predict(model, dataloader, datepicker)
-        update_plot(df, preds)
+        update_plot(df, preds, axs)
 
 if __name__ == '__main__':
     main()