Csv File Quotes

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In particular, we can combine the chain() function with the contextlib.ExitStack() method to process a collection of files as a single iterable sequence of values. We can do something like this: from contextlib import ExitStack import csv def row_iter_csv_tab(*filenames): with ExitStack() as stack: files = [stack.enter_context(open(name, 'r', newline='')) for name in filenames] readers = [csv.reader(f, delimiter='\t') for f in files] readers = map(lambda f: csv.reader(f, delimiter='\t'), files) yield from chain(*readers)

We've created an ExitStack object that can contain a number of individual contexts open. When the with statement finishes, all items in the ExitStack object will be closed properly. We created a simple sequence of open file objects; these objects were also entered into the ExitStack object. Given the sequence of files in the files variable, we created a sequence of CSV readers in the readers variable. In this case, all of our files have a common tab-delimited format, which makes it very pleasant to open all of the files with a simple, consistent application of a function to the sequence of files.

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