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| Started by | Peter Otten <__peter__@web.de> |
|---|---|
| First post | 2014-07-29 09:37 +0200 |
| Last post | 2014-07-29 09:37 +0200 |
| Articles | 1 — 1 participant |
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Re: Load a CSV with different row lengths Peter Otten <__peter__@web.de> - 2014-07-29 09:37 +0200
| From | Peter Otten <__peter__@web.de> |
|---|---|
| Date | 2014-07-29 09:37 +0200 |
| Subject | Re: Load a CSV with different row lengths |
| Message-ID | <mailman.12409.1406619473.18130.python-list@python.org> |
Ryan de Vera wrote:
> I am trying to load a csv with different row lengths. For example,
>
> I have the csv
>
> a,b
> a,b,c,d
> a,b,c
>
> How can I load this into python? I tried using both NumPy and Pandas.
The csv module in the standard library can deal with varying row lengths
just fine:
>>> import csv
>>> with open("data.csv") as f:
... data = list(csv.reader(f))
...
>>> data
[['a', 'b'], ['a', 'b', 'c', 'd'], ['a', 'b', 'c']]
Depending on your use case you may need to do some post-processing in your
code (e. g. converting strings to numbers).
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