Update src/input_analysis/Standarddeviation.py

src/input_analysis/Standarddeviation.py

@@ -2,8 +2,8 @@ import pandas as pd
 import numpy as np
 
 # Load Excel files
-product_data = pd.read_excel("Output File/excel/product_analysis.xlsx")
-competitor_data = pd.read_excel("Output File/excel/competitor_analysis.xlsx")
+product_data = pd.read_excel("Output_File/excel/product_analysis.xlsx")
+competitor_data = pd.read_excel("Output_File/excel/competitor_analysis.xlsx")
 
 # Function to filter criteria based on available columns
 def filter_existing_criteria(data, criteria):
@@ -169,14 +169,14 @@ top_3_df = pd.DataFrame(
 )
 
 # Save results to Excel
-top_3_df.to_excel("Output File/excel/top_3_sd_results.xlsx", index=False)
+top_3_df.to_excel("Output_File/excel/top_3_sd_results.xlsx", index=False)
 
 # Print the results
 print("\nTop 3 SD Results DataFrame:")
 print(top_3_df)
 import os
 
-output_folder = "data/output_generated_file/Output File/excel"
+output_folder = "data/output_generated_file/Output_File/excel"
 output_file_path = os.path.join(output_folder, "top_3_sd_results.xlsx")
 os.makedirs(output_folder, exist_ok=True)
 # Save results to the specified folder