You can do several manipulations for Excel with the Python library openpyxl. Please keep in mind that the syntax is not super easy and I encountered some quirks (they may or may not have to do with doing it on a Mac)
kn_example_python_excel_manipulate.knar (57.1 KB)
Also the concept of Continental to spread the use of KNIME within the company is bearing some fruit, although I have not (yet) seen Excel Data manipulation nodes, but you already can do a lot of things with their nodes.
Example how to rename an existing Excel sheet
# https://openpyxl.readthedocs.io/en/stable/tutorial.html#loading-from-a-file
# conda install -c anaconda openpyxl
from openpyxl import load_workbook
import openpyxl
import os
var_data_path = flow_variables['v_path_data_folder']
print("var_data_path : ", var_data_path )
var_path_excel_file = var_data_path + os.path.sep + "my_data.xlsx"
print("var_path_excel_file : ", var_path_excel_file )
var_old_sheet_name = 'data'
var_new_sheet_name = 'data_new'
wb = load_workbook(var_path_excel_file)
ws = wb[var_old_sheet_name]
# activate the ws 'data'
for s in range(len(wb.sheetnames)):
if wb.sheetnames[s] == ws:
break
wb.active = s
v_list_sheetnames = wb.sheetnames
print(v_list_sheetnames)
for i in v_list_sheetnames:
if i == var_new_sheet_name:
# wb.active = i
wb.remove_sheet(var_new_sheet_name)
ws.title = var_new_sheet_name
v_list_sheetnames = wb.sheetnames
print(v_list_sheetnames)
wb.save(var_path_excel_file)
output_table = input_table.copy()