je...@newsguy.com wrote: > > Hello. Back in the '80s, I wrote a fractal generator, which, over the years, > I've modified/etc to run under Windows. I've been an Assembly Language > programmer for decades. Recently, I decided to learn a new language, > and decided on Python, and I just love it, and the various IDEs. > > 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: > 1.850358651774470E-0002 > 32 > 22 > 27 > ... (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: > > ----------------------------------------------- > import csv > > fname = 'E:/Users/jayte/Documents/Python Scripts/XportTestBlock.csv' > > f = open(fname) > > reader = csv.reader(f) > > for flt in reader: > x = len(flt) > file.close(f) > -----------------------------------------------
The csv.reader(f) object creates an iterable that will create lists from lines in f. The list will have values at indexes based on the commas in the file. EX: my_header_1, my_header_2 111, 0001 101, 1010 100, 1001 The csv.reader will lazily make lists like ['my_header_1', 'my_header_2'], ['111', '0001'], ... and so forth. Your program above will take the length of those lists, and assign that value to x. For every line in the file, f will get rewritten with a new value, the length of list which is derived from the number of commas in the csv. Also note that the csv.reader speaks many dialects, and can do similar work on files with different quote characters and delimiters. Generally, I prefer to read in csv files with the standard readline() method of open files. I do like to use csv.DictWriter, which helps me to keep my csv output tabular. -Kevin > > This will get me an addressable array, as: > > flt[0], flt[1], flt[350], 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. > > Advice? > > Jeff >
0x8A61431E.asc
Description: application/pgp-keys
signature.asc
Description: OpenPGP digital signature
-- https://mail.python.org/mailman/listinfo/python-list
