<div class="MsoNormal">Thank you all for your suggestions.</div> <div class="MsoNormal"><o:p></o:p>The purpose of this script to read values for initialization of a class that calls functions from another software program for chemically reacting flows (<a href="http://www.cantera.org/">www.cantera.org</a>). I have around 25 input variables with distinct variable names (don’t follow any patterns) with 5 strings (i.e., last five variables that contain chemical species names). Currently, I use a csv file to provide the initial values.<span style=""> </span>I hope this answers your questions.</div> Lex<br><br><b><i>Michael Langford <mlangford.cs03@gtalumni.org></i></b> wrote:<blockquote class="replbq" style="border-left: 2px solid rgb(16, 16, 255); margin-left: 5px; padding-left: 5px;"> I'd like to be clear, this isn't a clean thing for the middle of a big<br>program. I was thinking the entire time I was testing it "I wonder why<br>anyone would need to do
this...."<br><br>But if you have a python program you'd probably call a script, used<br>for one simple task, it can be appropriate (with Kent's catch on the<br>globals/local thing). I assumed you were using your approach for<br>something like that. (would you tell us what you're doing this for<br>btw? The suspense ... :o))<br><br>If you're doing something like multivariable analysis or something<br>else that you would do in software like maple, this approach can<br>greatly simplify the notation over the list/dict approach.<br><br>If you're not using python as a huge substitute for a math solver,<br>then avoid what I said like the plague and use a dict.<br><br> --Michael<br><br>On 1/15/08, Michael Langford <mlangford.cs03@gtalumni.org> wrote:<br>> Accidentally cut off a 0 there...<br>> Think about using ConfigParser instead of your csv. Doug Hellman wrote<br>> a good article on that:<br>>
http://blog.doughellmann.com/2007/04/pymotw-configparser.html<br>><br>> But if you really want to load your data this way, this will work:<br>><br>> for subscript,line in enumerate(file("file.csv")):<br>> s = line.split(",")[1]<br>> try:<br>> f = float(s)<br>> locals()["x%i" % subscript]=f<br>> except:<br>> locals()["x%i" % subscript]=s<br>><br>> print x1<br>> print x0<br>><br>> On Jan 15, 2008 3:47 PM, Michael Langford <mlangford.cs03@gtalumni.org> wrote:<br>> > for subscript,line in enumerate(file("file.csv")):<br>> > s = line.split(",")[1]<br>> > try:<br>> > f = float(s)<br>> > locals()["x%i" % subscript]=f<br>> > except:<br>> > locals()["x%i" % subscript]=s<br>> ><br>> > print x1<br>> > print x<br>> ><br>> > On Jan 15, 2008 3:26 PM, lechtlr
<lechtlr@yahoo.com> wrote:<br>> ><br>> > > I want to read an input file (file.csv) that has two columns. I want to read<br>> > > 2nd column and assign variables that are strings and floats. Currently, I<br>> > > use the following split() function to read from the input file and create a<br>> > > list, and then assign each element to a variable.<br>> > ><br>> > > I am wondering there is any other easier (and elegant) way of doing this ?<br>> > ><br>> > > data = []<br>> > > for line in open("file.csv"):<br>> > > columns = line.split(',')<br>> > > data.append([columns[1]])<br>> > ><br>> > > This script returns, say:<br>> > > data = [ ['20.0'], ['0.34'], ................,[ 'a:0.20, b:0.30, c:0.50' ]]<br>> > ><br>> > > Then, I assign to a set of variables, say:<br>> > ><br>> > > x1 = float(data[0][0]) ;
x2 = float(data[1][0]);.............;xn =<br>> > > data[-1][0]<br>> > ><br>> > ><br>> > > Thanks,<br>> > > Lex<br>> > ><br>> > ><br>> > ><br>> > ><br>> > ><br>> > ><br>> > ><br>> > ><br>> > > ________________________________<br>> > > Never miss a thing. Make Yahoo your homepage.<br>> ><br>> > > _______________________________________________<br>> > > Tutor maillist - Tutor@python.org<br>> > > http://mail.python.org/mailman/listinfo/tutor<br>> > ><br>> > ><br>> ><br>> ><br>> ><br>> > --<br>> > Michael Langford<br>> > Phone: 404-386-0495<br>> > Consulting: http://www.RowdyLabs.com<br>> ><br>><br>><br>><br>> --<br>> Michael Langford<br>> Phone: 404-386-0495<br>> Consulting: http://www.RowdyLabs.com<br>><br><br><br>--
<br>Michael Langford<br>Phone: 404-386-0495<br>Consulting: http://www.RowdyLabs.com<br></lechtlr@yahoo.com></mlangford.cs03@gtalumni.org></mlangford.cs03@gtalumni.org></blockquote><br><p> 
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