xls

python3读取、写入、追加写入excel文件

别来无恙 提交于 2019-11-27 18:46:57
由于excel版本不同,python处理的时候选择的库页不同。 一、操作对应版本表格需要用到的库 1、操作xls格式的表格文件,需要用到的库如下: 读取:xlrd 写入:xlwt 修改(追加写入):xlutils 2、操作xlsx格式的表格文件,需要用到的库如下: 读取/写入:openpyxl (好像对于xlsx格式的表格,使用xlrd也是可以读取的,只是写入会有问题,不过避免问题还是根据不同格式的表格选择对应的库吧~) 二、实现代码 1、xlwt写入xls文件内容 import xlwt def write_excel_xls(path, sheet_name, value): index = len(value) # 获取需要写入数据的行数(value是个二维数组) workbook = xlwt.Workbook() # 新建一个工作簿 sheet = workbook.add_sheet(sheet_name) # 在工作簿中新建一个表格 for i in range(0, index): for j in range(0, len(value[i])): sheet.write(i, j, value[i][j]) # 像表格中写入数据(对应的行和列) workbook.save(path) # 保存工作簿 print("xls格式表格写入数据成功!") #

Excel spreadsheet generation results in “different file format than extension error” when opening in excel 2007

﹥>﹥吖頭↗ 提交于 2019-11-27 18:32:11
The spreadsheet still displays, but with the warning message. The problem seems to occur because Excel 2007 is more picky about formats matching their extensions than earlier versions of Excel. The problem was initially discovered by an ASP.Net program and produces in the Excel error "The file you are trying to open, "Spreadsheet.aspx-18.xls', is in a different format than specified by the file extension. Verify ...". However, when I open the file it displays just fine. I am using Excel 2007. Firefox identifies the file as an Excel 97-2003 worksheet. Here is an ASP.NET page which generates the

How do I create a readable diff of two spreadsheets using git diff?

混江龙づ霸主 提交于 2019-11-27 16:36:58
We have a lot of spreadsheets (xls) in our source code repository. These are usually edited with gnumeric or openoffice.org, and are mostly used to populate databases for unit testing with dbUnit . There are no easy ways of doing diffs on xls files that I know of, and this makes merging extremely tedious and error prone. I've tried to converting the spreadsheets to xml and doing a regular diff, but it really feels like it should be a last resort. I'd like to perform the diffing (and merging) with git as I do with text files. How would I do this, e.g. when issuing git diff ? na_ka_na We faced

count files in specific folder and display the number into 1 cel [closed]

我们两清 提交于 2019-11-27 15:13:27
I am trying to know how many files there are in 1 specific folder with .xls extension. I read hundreds of examples with message boxes, but that is not what I'm looking for. I just want to have the number displayed into 1 cel. Is there someone who likes to help me with that please? I can not post any attempts because I can not get started :-( best regards, E. Try below code : Assign the path of the folder to variable FolderPath before running the below code. Sub sample() Dim FolderPath As String, path As String, count As Integer FolderPath = "C:\Documents and Settings\Santosh\Desktop" path =

Read local xls/xlsx file in javascript

痴心易碎 提交于 2019-11-27 15:13:27
问题 Can we read large local xls/xlsx file in angularjs/Javascript without using any liabrary, if not then which is most suitable library? 回答1: While looking for this I found this: Basic parsers implemented in pure JS: http://oss.sheetjs.com/js-xls/ (XLS files, what you wanted) http://oss.sheetjs.com/js-xlsx/ (XLSX/XLSM/XLSB files) I'm providing the reference How to parse Excel file in Javascript/HTML5 https://gist.github.com/psjinx/8002786 Hope this could be helpful. 回答2: use this code to read

JasperReports export to xlsx, not xls

。_饼干妹妹 提交于 2019-11-27 14:02:14
问题 I can't find how to export a file in .xlsx in JasperReports 4.1.1. The class: JRXlsExporter has not a Xlsx equivalent. And i can't find a parameter to set the output format from xls to xlsx. 回答1: The JRXlsxExporter class should be used for exporting at XLSX format. Sample of using exporter with JasperReports prior 5.5.2 version Till JasperReports 5.5.1 this code can be used for generating report at xlsx format: JRMapArrayDataSource dataSource = new JRMapArrayDataSource(data); JasperReport

Exporting HTML tables to Excel (.xls) in a separate sheet

試著忘記壹切 提交于 2019-11-27 11:44:50
问题 I've got a simple HTML page (generated by an external application) that contains a table view. I am trying to scrape off the tables from the page and put them in an Excel workbook. I have managed to put the whole HTML contents in a workbook by using the method available here. Code from the related question: var tableToExcel = (function() { var uri = 'data:application/vnd.ms-excel;base64,' , template = '<html xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:x="urn:schemas-microsoft-com

Is there a coalesce-like function in Excel?

夙愿已清 提交于 2019-11-27 11:05:53
问题 I need to fill a cell with the first non-empty entry in a set of columns (from left to right) in the same row - similar to coalesce() in SQL. In the following example sheet --------------------------------------- | | A | B | C | D | --------------------------------------- | 1 | | x | y | z | --------------------------------------- | 2 | | | y | | --------------------------------------- | 3 | | | | z | --------------------------------------- I want to put a cell function in each cell of row A

Create a password protected Excel file using Apache POI?

人走茶凉 提交于 2019-11-27 08:42:24
I am developing a simple Java program to create an Excel file using (Apache POI) API. I am using Oracle 10g as a database and using the ojdbc14 JAR file. I have a table called USERINFO, having three columns, namely USERNAME , PASSWORD , and NAME. Now using Apache POI, I have been able to put all the rows in an Excel file. Since the file contains sensitive data such as username and password, I want to make it password protected. On forums, I have found how to read password protected files, but not how to create them. So how I can achieve this? Updated: As of version 3.10 POI supports encryption

Matlab xlsread cutting off file after row 1048576

半腔热情 提交于 2019-11-27 08:31:17
问题 Is there any other way of importing an Excel formatted .csv into Matlab other than xlsread(file.csv); The file I have contains 2830082 lines, and xlsread seems to have a limit of 1048576 lines when reading it - the rest gets cut off. The file looks like: Time, Value 12:07:29, -1.13 12:07:29, -7.54 ... So using csvread(..) isn't going to work because of the date format. 回答1: I've found the fastest way to read BIG csv files into Matlab is to memory-map them and parse the contents as a single