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Groups > comp.lang.python > #82530
| From | Gregory Ewing <greg.ewing@canterbury.ac.nz> |
|---|---|
| Newsgroups | comp.lang.python |
| Subject | Re: numpy question (fairly basic, I think) |
| Date | 2014-12-15 11:26 +1300 |
| Message-ID | <cf6h47Fa84uU1@mid.individual.net> (permalink) |
| References | <548cd14c$0$13013$c3e8da3$5496439d@news.astraweb.com> <mailman.16946.1418567821.18130.python-list@python.org> |
Albert-Jan Roskam wrote:
> I was trying to change the one-dim array into a two-dim array so
> I could easily retrieve columns. I now use a pandas DataFrame to do that.
Numpy can do that, if I understand what you want correctly,
but it requires an unintuitive trick.
The trick is to index the array with the name of a field,
and *only* the name of the field. For example, the following
gives you a slice containing all the values from the 'v02'
fields of your data:
array['v02']
Note: Indexing with a field name generally seems to follow
a different set of rules. Some things that you'd think would
work don't, e.g.
array[:, 'v02']
fails with a rather confusing error message. Also,
array[0, 'v02']
doesn't work either, and has to be written
array[0]['v02']
instead.
--
Greg
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numpy question (fairly basic, I think) Albert-Jan Roskam <fomcl@yahoo.com> - 2014-12-13 21:36 +0000
Re: numpy question (fairly basic, I think) Steven D'Aprano <steve+comp.lang.python@pearwood.info> - 2014-12-14 10:52 +1100
Re: numpy question (fairly basic, I think) Albert-Jan Roskam <fomcl@yahoo.com> - 2014-12-14 14:31 +0000
Re: numpy question (fairly basic, I think) Gregory Ewing <greg.ewing@canterbury.ac.nz> - 2014-12-15 11:26 +1300
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