On Mon, Jun 4, 2012 at 6:08 PM, Chris Barker chris.bar...@noaa.gov wrote:
could you multiply the numeric field by -1, sort, then put it back
Yeah, that works great for my situation. Thanks Chris!
On Mon, Jun 4, 2012 at 8:17 PM, Benjamin Root ben.r...@ou.edu wrote:
While that may work for this
On Tue, Jun 5, 2012 at 10:49 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Jun 5, 2012 at 1:17 AM, Benjamin Root ben.r...@ou.edu wrote:
On Monday, June 4, 2012, Chris Barker wrote:
On Mon, Jun 4, 2012 at 11:10 AM, Patrick Redmond plredm...@gmail.com
wrote:
Here's how I sorted
Hi!
I have a one-dimensional ndarray with two fields. I'd like to sort in
descending order by field 'a', breaking ties by sorting in ascending
order by field 'b'.
I've found combinations of sorting and reversing followed by stable
sorting that work, but there must be a straightforward way to do
Here's how I sorted primarily by field 'a' descending and secondarily by
field 'b' ascending:
(Note that 'a' is the second column, 'b' is the first)
data
array([('b', 0.03),
('c', 0.03),
('f', 0.03),
('e', 0.01),
('d', 0.04),
('a', 0.04)],
dtype=[('b',
On Mon, Jun 4, 2012 at 11:10 AM, Patrick Redmond plredm...@gmail.com wrote:
Here's how I sorted primarily by field 'a' descending and secondarily by
field 'b' ascending:
could you multiply the numeric field by -1, sort, then put it back --
somethign like:
data *- -1
data_sorted = np.sort(data,
On Monday, June 4, 2012, Chris Barker wrote:
On Mon, Jun 4, 2012 at 11:10 AM, Patrick Redmond
plredm...@gmail.comjavascript:;
wrote:
Here's how I sorted primarily by field 'a' descending and secondarily by
field 'b' ascending:
could you multiply the numeric field by -1, sort, then put
