Fernando Perez wrote:
Howdy,
On Wed, Feb 24, 2010 at 11:27 AM, Fernando Perez fperez@gmail.com wrote:
OK, since I know people are busy, I took silence as acquiescence.
Committed in r8151, please let me know if I messed anything up and
I'll try to fix it. I'm used to the numpy docstring
Jed Frechette wrote:
I made a one line change to matplotlib.axis.Axis.draw (attached) that
simply reverses the order that ticks are plotted in.
Argh, I knew that was to easy. This is only a partial fix because the
horizontal minor grid still gets drawn above the vertical major grid.
--
Jed
On Thu, Mar 18, 2010 at 12:20 PM, Eric Firing efir...@hawaii.edu wrote:
Fernando Perez wrote:
While chatting today with John, he suggested that a better api for
this would be to return an *array* of supblots, so that one could
index them with a[i,j] for the plot in row i, column j. I've
Fernando Perez wrote:
While chatting today with John, he suggested that a better api for
this would be to return an *array* of supblots, so that one could
index them with a[i,j] for the plot in row i, column j.
That would be nice.
implemented this already, but before committing it, I have
On Thu, Mar 18, 2010 at 1:38 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
I think the only two options should be scalar or 2-d array, it seems a
bit much to have a 1-d array option as well.
I disagree here -- if you are 2,1 or 1,2 rows x cols, 1D indexing is
natural. This is also the
John Hunter wrote:
I think the only two options should be scalar or 2-d array, it seems a
bit much to have a 1-d array option as well.
I disagree here -- if you are 2,1 or 1,2 rows x cols, 1D indexing is
natural. This is also the most common use case so the most important
to get right.
On Thu, Mar 18, 2010 at 2:24 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
John Hunter wrote:
I think the only two options should be scalar or 2-d array, it seems a
bit much to have a 1-d array option as well.
I disagree here -- if you are 2,1 or 1,2 rows x cols, 1D indexing is
Attached and also pasted below is an example which creates a 3d figure
using polar coordinates rather than the x and y. The solution was
created by Armin Moser when I posted a question to the users list.
There are currently no examples of polar coordinates in 3D available.
Any objections to
On Thu, Mar 18, 2010 at 11:47 AM, John Hunter jdh2...@gmail.com wrote:
I disagree here -- if you are 2,1 or 1,2 rows x cols, 1D indexing is
natural. This is also the most common use case so the most important
to get right. If you aren't doing multiple subplots, a plain ol
subplot(111) may be
Fernando Perez wrote:
Based on the feedback, I'll finish it tonight with squeeze=True as a
kwarg, that behaves:
- if True (default): single axis is returned as a scalar, Nx1 or 1xN
are returned as numpy 1-d arrays, and only NxM with N1 and M1 are
returned as a 2d array.
- if False, no
I've observed a significant difference in the time required by different
plotting functions. With a plot of 5000 random data points (all
positive, non-zero), plt.semilogx takes 3.5 times as long as plt.plot.
(Data for the case of saving to PDF, ratio changes to about 3.1 for PNG
on my machine.)
I
On Thu, Mar 18, 2010 at 7:46 PM, Fernando Perez fperez@gmail.com wrote:
On Thu, Mar 18, 2010 at 3:49 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
Good solution, and thanks for working on this!
Thanks.
I have one more question on this feature. I personally think that
this
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