Using the csv.DictReader and csv.DictWriter lets you read and write
lists of dictionaries from files containing tabular data. I have a
system that naturally generates tabular data in the form of a
dictionary of lists: the dictionary key is the name of the column, and
then the value is a list which contains the data for that column.
Sort of like a spreadsheet. I would like to use csv.DictWriter to
write out this data but that requires a list of dicts.
I can convert the dict of lists to a list of dicts, and thus make it
compatible with csv.DictWriter, with the following ugly comprehensions:
>>> y
{'a': [1, 2, 3], 'c': [7, 8, 9], 'b': [4, 5, 6]}
>>> [dict([(i,y[i][j]) for i in y.keys()]) for j in
range(len(y[y.keys()[0]]))]
[{'a': 1, 'c': 7, 'b': 4}, {'a': 2, 'c': 8, 'b': 5}, {'a': 3, 'c': 9,
'b': 6}]
...but I'm wondering if anyone knows of a more elegant way, perhaps
something built-in suited for this purpose...
I am aware that any solution will only work if the lists in the dict
are all the same length. :)
Thanks!
--
-dave----------------------------------------------------------------
"Pseudo-colored pictures of a person's brain lighting up are
undoubtedly more persuasive than a pattern of squiggles produced by a
polygraph. That could be a big problem if the goal is to get to the
truth." -Dr. Steven Hyman, Harvard
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