diff --git a/excel_update.py b/excel_update.py
deleted file mode 100644
index 920a8b0..0000000
--- a/excel_update.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import openpyxl
-from openpyxl.styles import PatternFill
-import pandas as pd
-
-def fill_cell(ws, cell, color):
-    fill = PatternFill(start_color=color, end_color=color, fill_type='solid')
-    cell.fill = fill
-
-def calculate_and_fill_deviation(ws, row, absolute_deviations):
-    if absolute_deviations:
-        average_deviation = sum(absolute_deviations) / len(absolute_deviations)
-        deviation_cell = ws.cell(row=row[0].row, column=4)  # Angenommen, die 'Abweichung'-Spalte ist Spalte D
-        deviation_cell.value = average_deviation
-        # Färbe die Zelle basierend auf der durchschnittlichen Abweichung
-        if average_deviation < 5:
-            fill_color = 'FF00FF00'  # Grün
-        elif 5 <= average_deviation < 10:
-            fill_color = 'FFFFFF00'  # Gelb
-        else:
-            fill_color = 'FFFF0000'  # Rot
-        fill_cell(ws, deviation_cell, fill_color)
-
-def color_cells_based_on_deviation(testruns_excel_file_path, testcases_excel_file_path):
-    wb_testruns = openpyxl.load_workbook(testruns_excel_file_path)
-    ws_testruns = wb_testruns.active
-    df_testcases = pd.read_excel(testcases_excel_file_path)
-
-    for row in ws_testruns.iter_rows(min_row=2, max_row=ws_testruns.max_row):
-        deviations = []
-        absolute_deviations = []
-
-        for cell in row[4:]:
-            header_cell_value = ws_testruns.cell(row=1, column=cell.column).value
-            if header_cell_value and "Testcase" in header_cell_value:
-                testcase_num = int(header_cell_value.split('_')[1])
-                expected_pulse_row = df_testcases[df_testcases['Testcase'] == testcase_num]
-                if not expected_pulse_row.empty:
-                    expected_pulse = expected_pulse_row.iloc[0]['Puls']
-                    actual_pulse = cell.value
-                    if actual_pulse is not None and expected_pulse is not None:
-                        relative_deviation = (actual_pulse - expected_pulse) / expected_pulse * 100
-                        absolute_deviation = abs(relative_deviation)
-                        deviations.append(relative_deviation)
-                        absolute_deviations.append(absolute_deviation)
-
-                        if absolute_deviation < 5:
-                            fill_color = 'FF00FF00'  # Grün
-                        elif 5 <= absolute_deviation < 10:
-                            fill_color = 'FFFFA500' if relative_deviation < 0 else 'FFFFFF00'  # Orange für niedriger, Gelb für höher
-                        else:
-                            fill_color = 'FFC0CB' if relative_deviation < 0 else 'FFFF0000'  # Rosa für niedriger, Rot für höher
-                        fill_cell(ws_testruns, cell, fill_color)
-
-        calculate_and_fill_deviation(ws_testruns, row, absolute_deviations)
-
-    wb_testruns.save(testruns_excel_file_path)