Hi Neal, my understanding is that matplotlib does not use OpenGL (thus
the terrible performance you see). You might want to look into glumpy
for mplot3d OpenGL acceleration.
Ethan
On Dec 14, 2012, at 5:23 AM, Neal Becker ndbeck...@gmail.com wrote:
I'm using fedora (17) linux. I notice on
This is because the default rstride and cstride arguments is 10, IIRC. Since
your array is only 12x12, the surface plotting is barely plotting anything.
Try calling:
ax.plot_surface(x, y, a, rstride=1, cstride=1)
You know, this has tripped me up a few times too. I don't use
1. How to open excel file in python?
You can read excel files with the xlrd module : http://www.python-excel.org/
However, you may want to simply read your exported CSV files.
2. I would like to plot multiple line joining the positions of each of the
events, it is possible to do this? Have
Hi Andreas,
Someone else, please correct me if I'm wrong, but I think the only way to do
this is to provide your own facecolors map. Pick your preferred color map
and apply it to dataset B, then now use mplot3d
plot_surface(X,Y,Z_A,facecolors=B_colors).
Assuming you are running inside pylab
On Oct 11, 2012, at 2:58 PM, Benjamin Root wrote:
On Thu, Oct 11, 2012 at 4:53 PM, Mark Lawrence breamore...@yahoo.co.uk
wrote:
On 11/10/2012 10:55, Damon McDougall wrote:
Am I missing something here? Are seconds just floats internally? A
delta of 1e-6 is nothing (pardon the pun). A
On Oct 12, 2012, at 4:15 PM, Mark Lawrence wrote:
On 12/10/2012 20:38, Ethan Gutmann wrote:
I'm a little confused by this attitude. I recognize that there are issues
around dates, I've written a few date libraries myself to get around insane
excel date issues (pop quiz for anyone at MS
On Sep 7, 2012, at 11:04 AM, Eric Firing wrote:
On 2012/09/07 4:00 AM, Benjamin Root wrote:
On Fri, Sep 7, 2012 at 9:49 AM, Shahar Shani-Kadmiel
kadm...@post.bgu.ac.il mailto:kadm...@post.bgu.ac.il wrote:
On Sep 7, 2012, at 4:25 PM, Benjamin Root wrote:
On Fri, Sep 7, 2012
...
No, but you can do this:
plt.plot([3] * 4, [60, 80, 120, 180], ...)
This started from a simple enough question, but it got me thinking about what
the fastest way to do this is (in case you have HUGE arrays, or many loops over
them). This may be old news to some of you, but I thought
On Jun 6, 2012, at 10:49 AM, Michael Droettboom wrote:
Interesting result. Note, however, that matplotlib will eventually turn
all data arrays into float64 at rendering time, so any speed advantage
to using integers will be lost by the subsequent conversion, I suspect.
I don't think it
On Jun 6, 2012, at 11:41 AM, Eric Firing wrote:
Since we end up needing float64 anyway:
In [3]: %timeit l=np.empty(1,dtype=np.float64); l.fill(3)
10 loops, best of 3: 14.1 us per loop
nice, fill and empty seem to be responsible for about half the speed up each,
good tools to know
On Apr 11, 2012, at 2:19 PM, Chris Laumann wrote:
I get the exact same behavior from both Enthought supplied python and Apple
supplied python. I haven't tried any other pythons, but it isn't limited to
the Apple one.
C
I've never seen quite what has been described, but I've had issues
On Feb 7, 2012, at 1:42 AM, Friedrich Romstedt wrote:
I'd like to thank John and Ben for this inspiring posts, which showed
them from a side I've never seen so far. Show your hands if you're
thinking the same. I hope I didn't bore you all :-)
Well said Friedrich, though I'm a relative
On Jan 27, 2012, at 9:11 AM, Fabien Lafont wrote:
Ive tried:
for i in range(0,NbPts):
if column1[i] == nan:
column1[i].remove(nan)
column2[i].remove(nan)
to remove these points but it doesn't work
you are close, I think what you want is:
# assuming column1 and 2
Along these lines, it looks to me like plot_surface is not shading when I would
expect it to (maybe I just have the wrong expectations?)
I would expect the following to create a surface with colors from the colormap
but shading from a lightsource.
surf = ax.plot_surface(X, Y, Z,
Holger, for what it is worth, you can hack this fairly easily. Run the
code twice once with colors, once with shading. Take the output from
both as images, the convert both images to HSV, the recombine the HS
components from the color version with the V component of the shaded
version. I haven't
I see the same thing here (from within ipython -pylab), and moving the
ax.set_axis_off() immediately after the add_subplot call doesn't
change anything. Interacting with the plot doesn't change anything
either.
Ethan
On Sep 7, 2011, at 1:21 PM, Benjamin Root wrote:
On Wed, Sep 7, 2011
Hi,
I'm trying to move plot windows programmatically, or at least control where
a new window opens. At the moment, every new window opens 20px further
down/right from the previous new window, but can I tell it to open e.g. 0px
down and 100px right? Or can I move it after it opens? I've dug
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