Upload Data_prep_functions.py

Data_prep_functions.py

@@ -86,6 +86,7 @@ def create_dual_axis_line_chart(date_series, promo_price_series, non_promo_price
 def to_percentage(value):
   return f'{value * 100:.1f}%'   
 
+
 def plot_actual_vs_predicted(date, y, predicted_values, model, target_column=None, flag=None, repeat_all_years=False, is_panel=False):
     if flag is not None:
         fig = make_subplots(specs=[[{"secondary_y": True}]])
@@ -138,10 +139,10 @@ def plot_actual_vs_predicted(date, y, predicted_values, model, target_column=Non
 
     # Calculate the number of days between each tick based on the date range
     date_range = (max(date) - min(date)).days
-    x_axis_tick_spacing = max(1, date_range // 130)  # Divide the date range by 14 to get approximately 15 ticks
+    #x_axis_tick_spacing = max(1, date_range // 50)  # Divide the date range by 14 to get approximately 15 ticks
 
     fig.update_layout(
-        xaxis=dict(title='Date', tickangle=-30, dtick=x_axis_tick_spacing),
+        xaxis=dict(title='Date', tickangle=-30),
         yaxis=dict(title=target_column),
     )