cs at zip.com.au
Sun Sep 14 10:38:41 CEST 2014
On 13Sep2014 21:34, jetrn at newsguy.com <jetrn at newsguy.com> wrote:
>Hello. Back in the '80s, I wrote a fractal generator, [...]
>Anyway, something I thought would be interesting, would be to export
>some data from my fractal program (I call it MXP), and write something
>in Python and its various scientific data analysis and plotting modules,
>and... well, see what's in there.
>An example of the data:
>... (this format repeats)
>So, I wrote a procedure in MXP which converts "the data" and exports
>a csv file. So far, here's what I've started with:
Normally a CSV file will have multiple values per row. Echoing Terry, what
shape did you intend your CSV data to be? i.e. what values appear on a row?
>fname = 'E:/Users/jayte/Documents/Python Scripts/XportTestBlock.csv'
>f = open(fname)
>reader = csv.reader(f)
>for flt in reader:
> x = len(flt)
>This will get me an addressable array, as:
>flt, flt, flt, etc... from which values can be assigned to
>other variables, converted...
>My question: Is there a better way? Do I need to learn more about
>how csv file are organized? Perhaps I know far too little of Python
>to be attempting something like this, just yet.
If you have a nice regular CSV file, with say 3 values per row, you can go:
reader = csv.reader(f)
for row in reader:
a, b, c - row
and proceed with a, b and c directly from there. But of course, that requires
your export format to be usable that way.
Cameron Simpson <cs at zip.com.au>
For a good prime, call: 391581 * 2^216193 -1
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