openpyxl

问题 My query is to do with a function that is part of a parsing script Im developing. I am trying to write a python function to find the column number corresponding to a matched value in excel. The excel has been created on the fly with openpyxl, and it has the first row (from 3rd column) headers that each span 4 columns merged into one. In my subsequent function, I am parsing some content to be added to the columns corresponding to the matching headers. (Additional info: The content I'm parsing

问题 I want to be able to read an Excel file in Python, keep the Python script running doing something else after the reading is finished, and be able to edit the Excel file in another process in the meantime. I'm using python 2.7 and openpyxl. Currently it looks like: from openpyxl import load_workbook def get_excel_data(): OESwb = load_workbook(filename = OESconfigFile, data_only=True, read_only=True) ws = OESwb.get_sheet_by_name('MC01') aValue = ws['A1'].value return aValue val = get_excel_data

问题 I have been looking at mostly the xlrd and openpyxl libraries for Excel file manipulation. However, xlrd currently does not support formatting_info=True for .xlsx files, so I can not use the xlrd hyperlink_map function. So I turned to openpyxl, but have also had no luck extracting a hyperlink from an excel file with it. Test code below (the test file contains a simple hyperlink to google with hyperlink text set to "test"): import openpyxl wb = openpyxl.load_workbook('testFile.xlsx') ws = wb

问题 I am in the process of brain storming how to best tackle the below problem. Any input is greatly appreciated. Sample Excel sheet columns: Column A | Column B | Column C Apple | Apple | Orange | Orange | Pear | Banana | I want Excel to tell me whether items in column A and B match or mismatch and display results in column C. The formula I enter in column C would be =IF(A1=B1, "Match", "Mismatch") On excel, I would just drag the formula to the rest of the cells in column C to apply the formula

问题 I have an Excel spreadsheet that I need to import into SQL Server on a daily basis. The spreadsheet will contain around 250,000 rows across around 50 columns. I have tested both using openpyxl and xlrd using nearly identical code. Here's the code I'm using (minus debugging statements): import xlrd import openpyxl def UseXlrd(file_name): workbook = xlrd.open_workbook(file_name, on_demand=True) worksheet = workbook.sheet_by_index(0) first_row = [] for col in range(worksheet.ncols): first_row

问题 I havent found much of the topic of creating a password protected Excel file using Python. In Openpyxl, I did find a SheetProtection module using: from openpyxl.worksheet import SheetProtection However, the problem is I'm not sure how to use it. It's not an attribute of Workbook or Worksheet so I can't just do this: wb = Workbook() ws = wb.worksheets[0] ws_encrypted = ws.SheetProtection() ws_encrypted.password = 'test' ... Does anyone know if such a request is even possible with Python?

问题 I'm using openpyxl to put data validation to all rows that have "Default" in them. But to do that, I need to know how many rows there are. I know there is a way to do that if I were using Iterable workbook mode, but I also add a new sheet to the workbook and in the iterable mode that is not possible. 回答1: ws.max_row will give you the number of rows in a worksheet. Since version openpyxl 2.4 you can also access individual rows and columns and use their length to answer the question. len(ws['A'

问题 I'm working on an application that processes huge Excel 2007 files, and I'm using OpenPyXL to do it. OpenPyXL has two different methods of reading an Excel file - one "normal" method where the entire document is loaded into memory at once, and one method where iterators are used to read row-by-row. The problem is that when I'm using the iterator method, I don't get any document meta-data like column widths and row/column count, and i really need this data. I assume this data is stored in the

问题 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 =

问题 I have a simple excel file: A1 = 200 A2 = 300 A3 = =SUM(A1:A2) this file works in excel and shows proper value for SUM, but while using openpyxl module for python I cannot get value in data_only=True mode Python code from shell: wb = openpyxl.load_workbook('writeFormula.xlsx', data_only = True) sheet = wb.active sheet['A3'] <Cell Sheet.A3> # python response print(sheet['A3'].value) None # python response while: wb2 = openpyxl.load_workbook('writeFormula.xlsx') sheet2 = wb2.active sheet2['A3']