df = pd.read_excel('Path.xlsx', sheet_name='Desired Sheet Name')
import xlsxwriter
workbook = xlsxwriter.Workbook('c: empWelocme.xlsx')
worksheet = workbook.add_worksheet()
worksheet.write('A1', 'Welcome to Python')
workbook.close()#Creating the ExcelFile object
xls = pd.ExcelFile(r'Path.xlsx')
#In the next step, you can pass the ExcelFile object to read_excel to import
#its content, instead of the path to the file.
data = pd.read_excel(xls, sheet_name='Name_of_sheet', index_col='Index_Column')$ sudo pip3 install openpyxl# Install openpyxl
# pip install openpyxl
# Read excel sheet
workbook = load_workbook(filename=file_path)
sheet = workbook.active
for temps in sheet.iter_rows(min_row=2, min_col=1, max_col=5, values_only=True):
# Add you code
# You should get all the parsed columns in temps as temps[0], temps[1] etc#!/usr/bin/env python
from openpyxl import Workbook
import time
book = Workbook()
sheet = book.active
sheet['A1'] = 56
sheet['A2'] = 43
now = time.strftime("%x")
sheet['A3'] = now
book.save("sample.xlsx")book = Workbook()sheet = book.activefrom openpyxl import Workbook