xlrd

Actually I am using xlrd module 0.8 version, but I don't know how to read cell properties like background color, font, and whether cell is locked. I tried to use import xlrd wb = xlrd.open_workbook(...) sh = wb.sheet_by_index(...) sh.sh._cell_xf_indexes(2, 2) It raises an error saying formatting information needs to be set while reading wb , but if I had that parameter then it shows it is still not implemented. Is there another module or how can this module itself be made to read cell properties? The following works for me, using xlrd version 0.7.6: from xlrd import open_workbook wb = open

基于rest_framework框架的二进制流数据传输（提供较大文件的下载） 　　（1）数据源： 　　　　高质量图片、视频、音频、文件、数据库数据等。如果是数据库文件，需要先读取相应的数据，然后写入表格在传输到前端以供下载！ 　　（2）数据读取： 　　　　利用yield函数生成器进行rb模式文件读取操作 　　（3）数据传输： 　　　　通过StreamingHttpResponse（）二进制流格式进行相应（from django.http.response import StreamingHttpResponse） 　　如果除数中使用的有中文，需要通过quote()方法来确保中文不乱码（from urllib.parse import quote） 文件的上传见< Django之AJAX文件上传 >篇，python操作excel表格见< python操作excel----openpyxl模块 >或< xpython操作excel之xlwt与xlrd > drf接口模式提供唯一码的下载案例 　　 1 import os 2 import openpyxl 3 from rest_framework.views import APIView 4 from django.http.response import StreamingHttpResponse 5 from urllib

Possible Duplicate: How do I read a date in Excel format in Python? My date can be among any field in an excel file but when I read it using python xlrd its being read as a float. Is there a way to read all the excel cells as string? I want to prepare a script to generate a file having all the values in excel file separated by a pipe but this date thing is creating problem. Excel stores dates as floats. If you want to convert them xlrd has a function to help you with this: xldate_as_tuple An exmple: import datetime, xlrd book = xlrd.open_workbook("myfile.xls") sh = book.sheet_by_index(0) a1 =

I have an excel sheet that looks like so: Column1 Column2 Column3 0 23 1 1 5 2 1 2 3 1 19 5 2 56 1 2 22 2 3 2 4 3 14 5 4 59 1 5 44 1 5 1 2 5 87 3 And I'm looking to extract that data, group it by column 1, and add it to a dictionary so it appears like this: {0: [1], 1: [2,3,5], 2: [1,2], 3: [4,5], 4: [1], 5: [1,2,3]} This is my code so far excel = pandas.read_excel(r"e:\test_data.xlsx", sheetname='mySheet', parse_cols'A,C') myTable = excel.groupby("Column1").groups print myTable However, my output looks like this: {0: [0L], 1: [1L, 2L, 3L], 2: [4L, 5L], 3: [6L, 7L], 4: [8L], 5: [9L, 10L, 11L]}

I am writing a python script to read data from an excel sheet using xlrd . Few of the cells of the the work sheet are highlighted with different color and I want to identify the color code of the cell. Is there any way to do that ? An example would be really appreciated. JMax Here is one way to handle this: import xlrd book = xlrd.open_workbook("sample.xls", formatting_info=True) sheets = book.sheet_names() print "sheets are:", sheets for index, sh in enumerate(sheets): sheet = book.sheet_by_index(index) print "Sheet:", sheet.name rows, cols = sheet.nrows, sheet.ncols print "Number of rows: %s

I am trying to open a xlsx file and just print the contents of it. I keep running into this error: import xlrd book = xlrd.open_workbook("file.xlsx") print "The number of worksheets is", book.nsheets print "Worksheet name(s):", book.sheet_names() print sh = book.sheet_by_index(0) print sh.name, sh.nrows, sh.ncols print print "Cell D30 is", sh.cell_value(rowx=29, colx=3) print for rx in range(5): print sh.row(rx) print It prints out this error raise XLRDError('Unsupported format, or corrupt file: ' + msg) xlrd.biffh.XLRDError: Unsupported format, or corrupt file: Expected BOF record; found '

I use xlrd to read data from excel files. For integers stored in the files, let's say 63 , the xlrd interprets it as 63.0 of type number . Why can't xlrd recognize 63 as an integer? Assume sheet.row(1)[0].value gives us 63.0 . How can I convert it back to 63 . Looking at the different cell types in the documentation , it seems that there isn't any integer type for cells, they're just floats. Hence, that's the reason you're getting floats back even when you wrote an integer. To convert a float to an integer just use int : >>> int(63.0) 63 >>> int(sheet.row(1)[0].value) 63 Excel treats all