George> It occured to me that most times I read a csv file, I'm often George> doing from scratch things like assigning labels to columns, George> mapping fields to the appropriate type, ignoring some fields, George> changing their order, etc. Before I go on and reinvent the George> wheel, is there a generic high level wrapper around csv.reader George> that does all this ?
I'm not aware of anything that specifically addresses these ideas. Here are some thoughts though: * If you use the DictReader class you can ignore fields you aren't interested in more easily since you access the fields of interest by name and with the fieldnames parameter to the constructor can assign column names to csv data which lacks it (use similar functionality in DictWriter to create column labels on output). You can also specify the restkey parameter to the constructor and thus only specify the fields of interest in the fieldnames parameter. (I think. I've never actually used that capability, but that's what the documentation suggests.) * There was a thread earlier this month with this subject: paseline(my favorite simple script): does something similar exist? Check it out for a number of different solutions to formatting the fields in a line of text. The idea can easily be extended to a list or dict of values instead, perhaps in a subclass of DictReader. Skip -- http://mail.python.org/mailman/listinfo/python-list