/20060406_day2_color.png
Thanks for any help!
Patrick
---
Patrick Marsh
Ph.D. Candidate / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
National Severe Storms Laboratory
http://www.patricktmarsh.com
Hi, JJ,
I wonder why the simple text command does not work for you? e.g.,
def add_center_text(ax):
ax.text(0.5, 0.9075, Centered Title, ha='center', va='center',
fontsize=18,
bbox=dict(boxstyle='round, pad=0.5, rounding_size=0.25',
fc=white,
ec=k, lw=2),
is aligned? If so, how might I go about tracking it
down?
https://gist.github.com/2004869 (rev: b984ca)
Cheers,
Patrick
---
Patrick Marsh
Ph.D. Student / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
National Severe
ultimately does what I did here behind the scenes.)
https://gist.github.com/2004869
Thanks for any help!
Patrick
---
Patrick Marsh
Ph.D. Student / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
National Severe Storms
on me for a few months now, and I
thought Ben's exultation of the benefits of the community might be a
good time to open up.
Cheers,
Patrick
---
Patrick Marsh
Ph.D. Student / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
HI,
My initial thought was that you need to use the zorder keyword
argument and set the zorder to a large value. However, the more I
thought about it, I'm not really sure how you are plotting the
satellite data. Can you provide a code snippet?
PTM
---
Patrick Marsh
Ph.D. Student / Liaison
to have only a single point, but the
old points aren't being removed and are displayed on subsequent
images. What am I doing wrong?
Patrick
---
Patrick Marsh
Ph.D. Student / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
Thanks, Eric!
I had tried
pt = plot(...)
for p in pt:
p.remove()
and that did not do the trick. However, doing it the way you
suggested worked like a charm. Thanks!
Patrick
---
Patrick Marsh
Ph.D. Student / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative
.
Patrick
---
Patrick Marsh
Graduate Research Assistant
School of Meteorology
University of Oklahoma
http://www.patricktmarsh.com
On Sat, Aug 22, 2009 at 10:37 PM, Jae-Joon Leelee.j.j...@gmail.com wrote:
What you need is to adjust the axes position of the colorbar at the
drawing time (because
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Patrick Marsh
Graduate Research Assistant
School of Meteorology
University of Oklahoma
http://www.patricktmarsh.com
://lists.sourceforge.net/lists/listinfo/matplotlib-users
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Patrick Marsh
Graduate Research Assistant
School of Meteorology
University of Oklahoma
http://www.patricktmarsh.com
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Open Source Business Conference (OSBC), March 24-25
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Graduate Research Assistant
School of Meteorology
University of Oklahoma
http://www.patricktmarsh.com
. If this is what you are looking
for, I'm happy to share what I've done.
-Patrick
--
Patrick Marsh
Graduate Research Assistant
School of Meteorology
University of Oklahoma
http://www.patricktmarsh.com
--
This SF.net email
= map(vertex[0],vertex[1],inverse=True) # vertex[0]
and now 'x' is the longitude of the vertex and vertex[1] and now 'y'
is the latitude of the vertex
Let me know how this works.
-Patrick
On Tue, Jan 27, 2009 at 7:09 PM, Patrick Marsh patrickmars...@gmail.com
wrote:
On Tue, Jan 27
Matplotlib-users@lists.sourceforge.net
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--
Patrick Marsh
Graduate Research Assistant
School of Meteorology
University of Oklahoma
http://www.patricktmarsh.com
(0,100)
plt.plot(x,y)
plt.show()
As for the error you specifically mentioned, have you checked to make
sure that the correct dll exists? This error typically happens to me
when the dll didn't build properly (if at all).
--
Patrick Marsh
Graduate Research Assistant
School of Meteorology
I'm not sure what you are needing it for, but I would suggest looking
into numpy's loadtxt function. You can use this to load the csv data
into numpy arrays and pass the resulting arrays arround.
-Patrick
On Sat, Jan 3, 2009 at 11:21 AM, antonv vasilescu_an...@yahoo.com wrote:
Hi all,
as that stays the same in all files.
I'll look at numpy but I hope there is a simpler way.
Thanks,
Anton
Patrick Marsh-2 wrote:
I'm not sure what you are needing it for, but I would suggest looking
into numpy's loadtxt function. You can use this to load the csv data
into numpy arrays
to show up with a
white background and no data contoured.
Am I completely missing something or is this functionality missing?
Thanks,
--
Patrick Marsh
Graduate Research Assistant
School of Meteorology
University of Oklahoma
would I go about making sure the last 5 was
included in the colorbar? I'll admit I haven't looked into this much as of
now since the first question was / is more pressing.
Thanks!
-Patrick Marsh
from __future__ import division
import numpy as np
import pylab as P
import copy
def open_text
.
-Patrick
On Sat, Aug 23, 2008 at 9:49 AM, Patrick Marsh
[EMAIL PROTECTED] [EMAIL PROTECTED]wrote:
Greetings,
I'm having considerable difficulties in getting the axes grid to display
they way I would like it to. Basically, I'm wanting to grid to be shown for
all of the x/y-ticks
of the contour. Using my original
example, if I'm plotting winds every 5 m/s, I'm wanting to pull off the lat,
lon pairs for the 5 m/s contours.
I'll check out the website and see if I find anything there.
-Patrick
On Sat, Aug 2, 2008 at 6:13 PM, Jeff Whitaker [EMAIL PROTECTED] wrote:
Patrick Marsh
...
-Patrick
On Sat, Aug 2, 2008 at 7:33 PM, Jeff Whitaker [EMAIL PROTECTED] wrote:
Patrick Marsh wrote:
Thanks for the quick reply.
I may not have been totally clear on what I'm trying to save (or I totally
misunderstood what you were trying to say - which is certainly possible).
I'm not wanting
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