I have an excel with data that through a python script I want to update the value of a column for a row in which the "code" value matches. I have tried to do it using this code but it creates another Excel sheet and I want it to overwrite the indicated one with the new values so that it maintains the table that contains that Excel sheet:
archive= "DATA.xlsx"df = pd.read_excel(archive, sheet_name='TEST')for code, l in dictResumen.items(): if df['CODE'].isin([code]).any(): # Get the index of the row row_index = df[df['CODE'] == code].index[0] #Update data value df.at[row_index , 'NAME'] = l[1] df.at[row_index , 'NIF'] = l[2] df.at[row_index , 'ADDRESS'] = l[3] df.at[row_index , 'STATE'] = l[4] df.at[row_index , 'CP'] = l[5] df.at[row_index , 'PROVINCE'] = l[6] else: # New row to add to the excel file new_row = pd.Series({'CODE': l[0], 'NAME': l[1], 'NIF': l[2], 'ADDRESS': l[3],'STATE': l[4], 'CP': l[5], 'PROVINCE': l[6]}) # append new row to the dataframe df = df.append(new_row, ignore_index=True)# Export DataFrame updating same Excelwith pd.ExcelWriter(archive, engine='openpyxl', mode='a') as writer: df.to_excel(writer, sheet_name='TEST', index=False)The data is:
and the expected data is:
