Hi
I will try your code... meanwhile I have to say, as you pointed earlier and as
stated in the documents, numpy is designed to handle large arrays and that is
the reason I chose that. If there is a better option, please let me know.
Regards,
Mahmood
--------------------------------------------
On Wed, 5/10/17, Peter Otten <__pete...@web.de> wrote:
Subject: Re: Out of memory while reading excel file
To: python-list@python.org
Date: Wednesday, May 10, 2017, 6:30 PM
Mahmood Naderan via Python-list wrote:
> Well actually cells are treated as
strings and not integer or float
> numbers.
May I ask why you are using numpy when
you are dealing with strings? If you
provide a few details about what you
are trying to achieve someone may be
able to suggest a workable approach.
Back-of-the-envelope considerations:
4GB / 5E6 cells amounts to
>>> 2**32 / (100000 * 50)
858.9934592
about 850 bytes per cell, with an
overhead of
>>> sys.getsizeof("")
49
that would be 800 ascii chars, down to
200 chars in the worst case. If your
strings are much smaller the problem
lies elsewhere.
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