Hello,
Does matplotlib recognize the file generated by a file sink in GNU Radio? I
guess its format is '.dat'.
I want to read the information in this file and create some graphics.
Thanks!
M
--
View this message in context:
http://matplotlib.1069221.n5.nabble.com/Reading-GRC-file-in-matplotli
Ok, I finally got it working after a couple of hours of experimenting. I
couldn't figure out how to get your methods to work, maybe because I'm such
a novice at Python. But, it was as easy as using a simple 'for' loop.
num = the number of lists to plot
time = a list of lists
volts = a list of
On Wed, Feb 27, 2013 at 1:01 AM, Sudheer Joseph wrote:
> Dear Pierre,
> I was checking the plt.xcorr and it calls the
> np.correlate in side it. It calls np.correlate(ts1,ts2, mode=2).
> Is there a way to see which vector is sided back in time? ie
> ts1[t1,t2,t3,t4] ts2
Marcello Vichi
February 27, 2013
1:40 PMThanks Jeff
this is what I have
In [1]: import matplotlib
In [2]: matplotlib.__version__
Out[2]: '1.2.0'
Marcello: As a workaround you could mask the
data outside the bounding lat of the projection before you draw the
contour lines. S
Marcello Vichi
February 27, 2013
1:40 PMThanks Jeff
this is what I have
In [1]: import matplotlib
In [2]: matplotlib.__version__
Out[2]: '1.2.0'
Marcello: I asked what version of basemap
you had, not matplotlib. Anyway, thanks for providing the script -
with it I can repro
Thanks Jeff
this is what I have
In [1]: import matplotlib
In [2]: matplotlib.__version__
Out[2]: '1.2.0'
I also tried with a different dataset, the one from
http://matplotlib.org/basemap/users/examples.html
and I get the same problem
from mpl_toolkits.basemap import Basemap
from netCDF4 import
I'd say it's got nearly nothing to do with matplotlib.
The question is: will the font be included in the .ps and in the .pdf?
If not, which is most likely, it's upon the renderer to decide what to do if
the requested glyph in the requested font is present or not in the system.
pdf is more likel
That feature is specific to the Qt4 backend.
Mike
On 02/27/2013 02:23 PM, Jonno wrote:
Can anyone explain to me why I don't see the "Edit Curves Line and
Axes Parameters" button in the matplotlib toolbar when using
matplotlib.backends.backend_wxagg.NavigationToolbar2Wx
The example code here
Can anyone explain to me why I don't see the "Edit Curves Line and Axes
Parameters" button in the matplotlib toolbar when using
matplotlib.backends.backend_wxagg.NavigationToolbar2Wx
The example code here creates a Matplotlib plot with the matplotlib toolbar
including all buttons except for the on
Marcello Vichi
February 19, 2013
7:33 AMWhen I plot contours in a
stereographic south pole plot with a bounding
latitude and the rounded clipping
Basemap(projection='spaeqd',lat_0=-90,lon_0=180,resolution='l',boundinglat=-40,round=True)
I see that the contours are correctly c
On Wed, Feb 27, 2013 at 1:49 AM, Rita wrote:
> Hi,
>
> I am currently plotting cpu utilization over time (plot_time). I would
> like the color of my line to be red when at 100%. 80-90% a bit less red,
> more yellow, and lower numbers will be green. Any thoughts of doing this?
>
A few years ago,
Hi
have a look at
http://matplotlib.org/examples/pylab_examples/multicolored_line.html and
http://matplotlib.org/examples/pylab_examples/show_colormaps.html.
br
Jakob
On 02/27/2013 10:49 AM, Rita wrote:
> Hi,
>
> I am currently plotting cpu utilization over time (plot_time). I would like
> the
Joe Kington's answer is the best solution I've seen to this problem:
http://stackoverflow.com/questions/13622909/matplotlib-how-to-colorize-a-large-number-of-line-segments-as-independent-gradi
There is also an example in the gallery:
http://matplotlib.org/examples/pylab_examples/multicolored_lin
Hi,
I am currently plotting cpu utilization over time (plot_time). I would like
the color of my line to be red when at 100%. 80-90% a bit less red, more
yellow, and lower numbers will be green. Any thoughts of doing this?
--
--- Get your facts first, then you can distort them as you please.--
-
Dear Pierre,
I was checking the plt.xcorr and it calls the
np.correlate in side it. It calls np.correlate(ts1,ts2, mode=2).
Is there a way to see which vector is sided back in time? ie
ts1[t1,t2,t3,t4] ts2[t1,t2,t3,t4...] ( ts2[t2] correlated with ts1[t1] or
ts2[t1]
15 matches
Mail list logo