[Python-Dev] Python-Dev Digest, Vol 81, Issue 31 (original) (raw)

Denis Kolodin deniskolodin at gmail.com
Sat Apr 10 20:53:38 CEST 2010

Hello! My name is Denis Kolodin. I live in Russia, Tambov. I was developing much time with C, Java, C#, R. But two month ago I'm using Python. It's really cool. Now, I move ALL my projects to it fully and have some ideas which API's extensions may will be useful. The first thing I want to say about is an extension of CSV api. In R language I could to set types for the every column in a csv file. I propose to add a same function to the Python's standard library. Here it is (Python 3 version):

import csv def reader2(csvfile, frame, delimiter=**';', **fmtparams): reader = csv.reader(csvfile, delimiter=delimiter, **fmtparams) for row in reader: l = min(len(row), len(frame)) yield [frameidx for idx in range(l)]

This's generator function which converts an every column to the associated type. In *frame *argument you must to set tuple/list of functions which will uses to convert values in same positions of row from csv file. Frame looks like list of types ))) By default it uses ';' delimiter to make float values conversion are possible.

As a sample you have the csv file like: Any spam...; 1; 2.0; 3

I've saved it to "sample.csv" :)

If you are using function reader in the standard "csv" module you get rows as a list of strings :( >>> reader = csv.reader(open("sample.csv"), delimiter=";") >>> print(next(reader)) ['Any spam...', ' 1', ' 2.0', ' 3'] * * * It's not bad in certan situatiuons. But with "reader2" function you can get a list with necessary types:

reader = reader2(open("foodstuffs.csv"), (str, int, float, int)) print(next(reader)) ['Any spam...', 1, 2.0, 3]

Now you can work with items without extra conversions. [?] I think it's good to add this function to the standard library. I've already used it many times. This function can be useful for many people who works with csv files. And I suppose it conforms to "batteries included" philosophy.

What do you think about this extension? Is it possible to add this function to standard library or to add the same behavior to the standard "readed" function in "csv" Python's module?

Best Regards, Denis Kolodin Russia, Tambov *

2010/4/10 <python-dev-request at python.org>

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Today's Topics: 1. Re: PEP 3147, cached, and PyImportExecCodeModuleEx() (Guido van Rossum) ---------------------------------------------------------------------- Message: 1 Date: Fri, 9 Apr 2010 17:41:48 -0700 From: Guido van Rossum <guido at python.org> To: Paul Moore <p.f.moore at gmail.com> Cc: Python-Dev Dev <python-dev at python.org> Subject: Re: [Python-Dev] PEP 3147, cached, and PyImportExecCodeModuleEx() Message-ID: <h2pca471dc21004091741tb818fdb0k86f65f7adedb7d12 at mail.gmail.com> Content-Type: text/plain; charset=ISO-8859-1 On Fri, Apr 9, 2010 at 3:54 PM, Paul Moore <p.f.moore at gmail.com> wrote: > On 9 April 2010 23:00, Barry Warsaw <barry at python.org> wrote: >> On Apr 09, 2010, at 02:52 PM, Guido van Rossum wrote: >> >>>It may be undocumented but it doesn't start with and it exists to >>>preserve backwards compatibility. So I recommend adding >>>PyImportExecCodeModuleExEx(). >> >> Cool, thanks. ?Now I can't wait for PyImportExecCodeModuleExExEx() :) > > Would it be better to name this one PyImportExecCodeModuleExEx (with > an underscore) so that we don't need to create an ExExEx version in > future? (Sorry, Barry :-)) I don't care about what name you pick, and my ExEx proposal was meant to include half a wink, but http://docs.python.org/c-api/import.html makes it clear that PyImportExecCodeModuleEx() is far from private! (I don't know where Barry got that idea.) While Google Code Search finds mostly references to PyImportExecCodeModuleEx in the Python source code and various copies of it, it also shows some real uses, e.g. http://www.google.com/codesearch/p?hl=en#bkFK9YpaWlI/ubuntu/pool/universe/y/yehia/yehia0.5.4.orig.tar.gz|PZ0Xf7QzC0/yehia-0.5.4.orig/plugins/python/python-loader.cc&q=PyImportExecCodeModuleEx -- --Guido van Rossum (python.org/~guido) ------------------------------

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