Fixed cv metrics

model_selection/fixing_fp_fn/fixing_metrics.py

+import pandas as pd
+
+def swap_fp_fn_rows(excel_path, output_path):
+    # Load the Excel file
+    excel_data = pd.ExcelFile(excel_path)
+
+    # Create a Pandas ExcelWriter using the xlsxwriter engine
+    with pd.ExcelWriter(output_path, engine='xlsxwriter') as writer:
+        # Iterate through each sheet in the Excel file
+        for sheet_name in excel_data.sheet_names:
+            # Read the current sheet into a DataFrame, setting the first column as the index
+            df = excel_data.parse(sheet_name, index_col=0)
+            
+            # Convert index to string if it's not already to handle string operations
+            df.index = df.index.map(str)
+
+            # Identify all rows containing 'FP' and 'FN' for swapping
+            fp_rows = df.filter(like='_FP', axis=0)
+            fn_rows = df.filter(like='_FN', axis=0)
+
+            # Swap values between FP and FN rows for each corresponding pair
+            for fp_index, fn_index in zip(fp_rows.index, fn_rows.index):
+                # Temporary store FN row
+                temp = df.loc[fn_index].copy()
+                # Swap rows
+                df.loc[fn_index] = df.loc[fp_index]
+                df.loc[fp_index] = temp
+
+            # Write the modified DataFrame back to the Excel file without adding an index column
+            df.to_excel(writer, sheet_name=sheet_name, index=True, index_label=None)
+
+    print(f"Swapped FP and FN rows in '{excel_path}' and saved to '{output_path}'.")
+
+# Path to your existing Excel file
+input_excel_path = '../output_cv_metrics/metrics.xlsx'
+# Path where the modified Excel file will be saved
+output_excel_path = '../output_cv_metrics/metrics_fixed.xlsx'
+
+# Call the function
+swap_fp_fn_rows(input_excel_path, output_excel_path)