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pythonexcelpython-2.7pandasxlrd

Opening and reading an excel .xlsx file in python


I'm trying to open an excel .xlsx file with python but am unable to find a way to do it, I've tried using pandas but it's wanting to use a library called NumPy I've tried to install numpy but it still can't find numpy.

I've also tried using the xlrd library but I get the following traceback:

Traceback (most recent call last):
  File "C:\test.py", line 3, in <module>
    book = open_workbook('test.xlsx')
  File "C:\Python27\lib\site-packages\xlrd\__init__.py", line 370, in open_workbook
    biff_version = bk.getbof(XL_WORKBOOK_GLOBALS)
  File "C:\Python27\lib\site-packages\xlrd\__init__.py", line 1323, in getbof
    raise XLRDError('Expected BOF record; found 0x%04x' % opcode)
XLRDError: Expected BOF record; found 0x4b50

Which I assume is because XLRD can't read .xlsx files?

Anyone got any ideas?

EDIT:

import csv
with open('test.csv', 'rb') as csvfile:
    data = csv.reader(csvfile, delimiter=',')
    for row in data:
        print "------------------"
        print row
        print "------------------"
        for cell in row:
            print cell

Solution

  • Maybe you could export your .xlsx to a .csv file?

    Then you could try:

    import csv
    with open('file.csv','rb') as file:
        contents = csv.reader(file)
        [x for x in contents]
    

    This may be useful: http://docs.python.org/2/library/csv.html#csv.reader

    Hope that helps!

    EDIT:

    If you want to locate a spectific cell, such as F13, you could make a nested list like a matrix and them refer to each element:

    import csv
    with open('file.csv','rb') as file:
        contents = csv.reader(file)
        matrix = list()
        for row in contents:
            matrix.append(row)
    

    And then access F13 with matrix[5][12].

    P.S.: I did not test this. If "row" is a list with each cell as an element, you keep appending all lines to the matrix, so the first index is row number and the second is the column number.