Try
import pylab
instead of
from pylab import *
Manuel
I've already tried using
import pylab
and also just importing the functions that I'm using, but the result is
always the same.
AR
Dear Matplotlib-Users,
I am tryring to create a contour plot over a basemap.
My main problem is creating the array for the Z values as a basis for the
plt.contour command from a CSV file where latitude, longitude and value are
stored column-wise:
lat;lon;value
50; 10; 6
...
The
Tim Michelsen wrote:
Dear Matplotlib-Users,
I am tryring to create a contour plot over a basemap.
My main problem is creating the array for the Z values as a basis for the
plt.contour command from a CSV file where latitude, longitude and value are
stored column-wise:
lat; lon;value
Jeff Whitaker wrote:
Tim Michelsen wrote:
Dear Matplotlib-Users,
I am tryring to create a contour plot over a basemap.
My main problem is creating the array for the Z values as a basis for the
plt.contour command from a CSV file where latitude, longitude and value are
stored
I'm surprised. That works for me. Can you (again) set verbose.level to
debug-annoying and send the output?
Cheers,
Mike
David M. Kaplan wrote:
Hi,
Thanks for the suggestions. I have stopped using the usetex option. To
make math and normal text match, I tried the following:
This is a tricky one. It appears this bug also exists in 0.91.x,
perhaps earlier as well, so it isn't a regression.
I don't like the idea of setting the minimum to 1, especially for when
the scale isn't log. Setting it to a really small positive value (like
1e-9) is better, but the
Hello Jeff,
- Points stored in the above descripbed format (lat, lon, value)?
This one I solved using a m.scatter() function
- Interpolate a grid of data points by using different interpolation
methods like inverse distance wheighting, natural neighbor
interpolation, etc. to get a
Le lundi 14 juillet 2008 à 09:08 -0400, Michael Droettboom a écrit :
Do any other developers have better suggestions? We may have to do some
magic in at drawing time (or convince the autoscaler to ignore the stem
lines) -- but I'd like to find a way that minimizes additional complexity.
Is
Tim Michelsen wrote:
Hello Jeff,
- Points stored in the above descripbed format (lat, lon, value)?
This one I solved using a m.scatter() function
- Interpolate a grid of data points by using different interpolation
methods like inverse distance wheighting, natural
On Thu, Jul 10, 2008 at 6:42 AM, Angela Rivera Campos [EMAIL PROTECTED] wrote:
Hi,
I'm quite a newbie on matplotlib.
I'm trying to get some data from a file. I've got a function that reads
the data from the file and stores it in a tuple as a set of floats. When
I use this without importing
The RectangleSelector has parameters for the min span in the x and y directions
of the rectangle. The units of these are the axes units. It would be nice if
there was an additional similar min size requirement, but in units of pixels.
This way it would be independent of the axes scale.
Hello,
thanks.
I checked again from contour_demo.py of the basemap distribution.
There lats, lons are uniquely monoton increasing from 0-360 and from -90 to 90.
In my case data is written row-by-row:
* increasing from lowest latitude western most longitude to easternmost
longitude and then
On Mon, Jul 14, 2008 at 9:49 AM, Ben Axelrod [EMAIL PROTECTED] wrote:
The RectangleSelector has parameters for the min span in the x and y
directions of the rectangle. The units of these are the axes units. It
would be nice if there was an additional similar min size requirement, but
in
Tim Michelsen wrote:
Hello,
thanks.
I checked again from contour_demo.py of the basemap distribution.
There lats, lons are uniquely monoton increasing from 0-360 and from -90 to
90.
In my case data is written row-by-row:
* increasing from lowest latitude western most longitude to
I have an application that has 2 subplots, and I'd like to use the second to
display the legend for the first. For example, for subplots plot1 and plot2:
plot1.plot((1,2,3,4), label='up', color = 'g')
plot1.plot((4,3,2,1), label='down', color = 'b')
plot2.legend(What can I put here to display a
Hello Jeff,
Timme: Here's one way to do it
many thanks so far. I still have to inspect and improve my script. But
at least your code lead me to some contourd surface.
I will come back and tell if it worked. Unfortunately I cannot disclose
the data nor the results because of copyright issues.
Michael Droettboom wrote:
Thanks for the report. So we can diagnose this, what version of
matplotlib are you reporting this for?
Also, you may be interested in the following FAQ (and the one following it):
http://matplotlib.sourceforge.net/faq.html#LEAKS
Hi,
I tested this with the
Michael Droettboom wrote:
Which backend?
GTK, GTKAgg, TK, but not with any backend without a window: Agg, Cairo,
PS, PDF, SVG ...
Cheers,
Manuel
Cheers,
Mike
Manuel Metz wrote:
Michael Droettboom wrote:
Thanks for the report. So we can diagnose this, what version of
matplotlib
I can confirm this.
Commenting out del Gcf.figs[num] in Gcf.destroy (in _pylab_helpers.py)
also seems to resolve the leak. But I have no idea why, so I won't
commit it just yet. I don't have much time to look deeper now. Does
anyone (who probably understands figure management better than
On Mon, Jul 14, 2008 at 3:05 PM, Michael Droettboom [EMAIL PROTECTED] wrote:
I can confirm this.
Commenting out del Gcf.figs[num] in Gcf.destroy (in _pylab_helpers.py)
also seems to resolve the leak. But I have no idea why, so I won't
commit it just yet. I don't have much time to look
Hi,
Try
mylines = plot1.get_lines()
plot2.legend(mylines, [p.get_label() for p in mylines])
When you call the legend method with two arguments, first argument is
a list of lines and second argument is a list of labels. It does not
seem to matter whether lines are from same axes.
Hope this
Hi Lubos,
Lubos Vrbka wrote:
1. Would it be possible to do only shallow copy of the arrays that are
being plotted so that on redrawing the figure, chanes in the datasets
would be picked up automatically? If not, is Line2D.set_data(...) the
right approach?
isn't this the way how the
I would think that the gtk mainloop would terminate when the window
closes (which termination should propagate back up the stack), but
apparently that doesn't happen.
I'm not sure I'm following you at the moment. Are you calling show()
once and closing the figure doesn't cause it to return?
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