#100DaysOfCode in Python Transcripts
Chapter: Days 37-39: Using CSV data
Lecture: Concepts: CSV programming
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Recall there were two basic steps
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that we had to go through to work with this CSV data,
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and they were both pretty simple.
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We're going to start by importing the csv
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module, so that will let us actually create
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this dictionary reader to run through it,
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and we're going to open a file stream
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that we hand to the dictionary reader
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to actually get the data.
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Then we just create one of these dictionary readers
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based on the file,
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and gives us this thing that we can loop over
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and each item that comes out of the loop
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is going to be one of those rows in there.
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And we get this row back and we work with it one at a time.
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Now you saw the data's always text,
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so you may need to upgrade it to something more usable
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if you're working with numbers and dates
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and things that are not just plain text.
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The other thing that makes this really, really nice,
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makes a big difference in terms of working with this data,
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is to give it a little more structure,
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and we saw that we could really easily use
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something called a namedtuple.
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This comes out of the collections
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and then we're going to create the namedtuple here
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and we call it whatever you want,
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we make up the name. I said I'm going to call it record, so record it is.
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Just remember it appears in two places,
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and in that second part, we actually put the
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basically the header from the CSV,
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it just so happens that format works perfectly there.
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And then we can, if we have some data,
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we can create one of the by setting the keyword values.
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So we set all the values there.
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We actually have a shorter way to do it
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if the dictionary exactly matches the items,
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which it does in this case.
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So we could use the **row,
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because often there's a ton of keyword values to set,
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and this will just do it in a super, nice shortcut here.
