openpyxl

openpyxl模块支持.xls和.xlsx格式的excel创建，但是只支持.xlsx格式的读取操作，不支持.xls的读取（可以使用xlrd模块来读取，写入操作也可使用xlwt模块） openpyxl创建新的excel　 　 1 import openpyxl 2 3 #创建工作簿 4 book=openpyxl.Workbook() 5 6 # 创建表 7 table1=book.create_sheet(title="联系电话",index=0)#title表名；index：自定义表位置 8 table2=book.create_sheet("工作经历",3) 9 10 #单元格值得插入（可以是具体值，也可以是excel函数语句） 11 table1.cell(1,1,"手机号")#参数为：行，列，数值----表中的行和列都是以索引1开始计数，因此在定位单元格时行列都必须不小于1 12 table1['B1']='年龄' 13 #单元格插入值的另外一种写法 14 for i in range(2,10): 15 table1.cell(i,1).value=12345 16 table1.cell(i,2).value=i 17 18 # 保存工作簿--可以指定xls或者xlsx 19 book.save("员工信息.xlsx")#参数：文件名

I need to search the Excel sheet for cells containing some pattern. It takes more time than I can handle. The most optimized code I could write is below. Since the data patterns are usually row after row so I use iter_rows(row_offset=x). Unfortunately the code below finds the given pattern an increasing number of times in each for loop (starting from milliseconds and getting up to almost a minute). What am I doing wrong? import openpyxl import datetime from openpyxl import Workbook wb = Workbook() ws = wb.active ws.title = "test_sheet" print("Generating quite big excel file") for i in range(1

When you write to an excel file from Python in the following manner: import pandas from openpyxl import load_workbook book = load_workbook('Masterfile.xlsx') writer = pandas.ExcelWriter('Masterfile.xlsx') writer.book = book writer.sheets = dict((ws.title, ws) for ws in book.worksheets) data_filtered.to_excel(writer, "Main", cols=['Diff1', 'Diff2']) writer.save() Formulas and links to charts which are in the existing sheets, will be saved as values. How to overwrite this behaviour in order to preserve formulas and links to charts? Openpyxl 1.7 contains several improvements for handling formulae

I need to read an xlsx file of 10x5324 cells This is the gist of what i was trying to do: from openpyxl import load_workbook filename = 'file_path' wb = load_workbook(filename) ws = wb.get_sheet_by_name('LOG') col = {'Time':0 ...} for i in ws.columns[col['Time']][1:]: print i.value.hour The code was taking much too long to run then it should (I was performing operations, not printing) and after a while I got impatient and cancelled it. Any idea how I can work it in the optimized reader? I need to iterate over a range of rows, not over all rows. This is what i tried, but it's wrong: wb = load

I have a .xlsx file to edit, I found openpyxl could manipulate Excel 2007 files. I only want to change the value in some cells and leave other settings unchanged. But after I went through the Documentation , I cannot find the examples to edit a existing file. It only demostrated reading a .xlsx file and writing to a new one. I tried below way to edit an existing file, but after I saved it, the styles in the file has been removed( like fonts, colors): from openpyxl.reader.excel import load_workbook wb=load_workbook(r'd:\foo1.xlsx') ws=wb.get_sheet_by_name('Bar') ws.cell('A1').value= 'new_value'