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Date: Tue, 23 Apr 2013 14:49:47 -0700
Subject: Re: Reading a CSV file
From: Dan Stromberg <drsalists@gmail.com>
To: =?ISO-8859-1?Q?Ana_Dion=EDsio?= <anadionisio257@gmail.com>
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On Tue, Apr 23, 2013 at 2:39 PM, Ana Dion=EDsio <anadionisio257@gmail.com>w=
rote:

> Hello!
>
> I need to read a CSV file that has "n" rows and "m" columns and if a
> certain condition is met, for exameple n=3D=3D200, it prints all the colu=
mns in
> that row. How can I do this? I tried to save all the data in a
> multi-dimensional array but I get this error:
>
> "ValueError: array is too big


Use:
csv.reader(*csvfile*, *dialect=3D'excel'*,
***fmtparams*)=B6<http://docs.python.org/2/library/csv.html#csv.reader>

This will allow you to iterate over the values, instead of reading them all
into memory at once.

csv.reader is documented at:

http://docs.python.org/3/library/csv.html

http://docs.python.org/2/library/csv.html

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<br><div class=3D"gmail_quote">On Tue, Apr 23, 2013 at 2:39 PM, Ana Dion=ED=
sio <span dir=3D"ltr">&lt;<a href=3D"mailto:anadionisio257@gmail.com" targe=
t=3D"_blank">anadionisio257@gmail.com</a>&gt;</span> wrote:<br><blockquote =
class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid=
;padding-left:1ex">
Hello!<br>
<br>
I need to read a CSV file that has &quot;n&quot; rows and &quot;m&quot; col=
umns and if a certain condition is met, for exameple n=3D=3D200, it prints =
all the columns in that row. How can I do this? I tried to save all the dat=
a in a multi-dimensional array but I get this error:<br>

<br>
&quot;ValueError: array is too big</blockquote><div><br>Use:<br><dl class=
=3D"function"><dt id=3D"csv.reader">
<tt class=3D"descclassname">csv.</tt><tt class=3D"descname">reader</tt><big=
>(</big><em>csvfile</em>, <em>dialect=3D&#39;excel&#39;</em>, <em>**fmtpara=
ms</em><big>)</big><a class=3D"headerlink" href=3D"http://docs.python.org/2=
/library/csv.html#csv.reader" title=3D"Permalink to this definition">=B6</a=
></dt>
</dl><p>This will allow you to iterate over the values, instead of reading =
them all into memory at once.<br></p><p>csv.reader is documented at:</p><p>=
<a href=3D"http://docs.python.org/3/library/csv.html">http://docs.python.or=
g/3/library/csv.html</a><br>
</p><p><a href=3D"http://docs.python.org/2/library/csv.html">http://docs.py=
thon.org/2/library/csv.html</a></p><p><br></p> </div></div>

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