matplotlib-users Mailing List for matplotlib (Page 9)

Dear Users,
               I am trying to make vertical section plot along equator of Indian ocean from 45E to 100E and latitude 0.
from levitus climatology using below code. What is the best and simple way to achieve this? np.meshgrid allows only 2 variables so I am not able to make x,y,z= using np.meshgrid(lat,depth,temp)
how to go about this? Is there a set of codes for handling such graphs?
url='http://www.marine.csiro.au/dods/nph-dods/dods-data/climatology-netcdf/levitus_monthly_temp_98.nc'
import cdms2
from matplotlib import pyplot as plt
from netCDF4 import Dataset as ncd
f=cdms2.open(url)
f.variables()
x=f.getAxis('lon')
y=f.getAxis('lat')
z=f.getAxis('z')
depth=z.getData()
lat=y.getData()
lon=x.getData()
temp=f('TEMP')
lonmin=np.where(lon==45)
lonmax=np.where(lon==100)
nlon=lon[lonmin:lonmax]
lat0=np.where(lat==0.5)
ntemp=temp[:,lat0,lonmin:lonmax]
basically I wanted to make a plot plt.plot(nlon,depth,ntemp)
Please help.
with best regards,
Sudheer
***************************************************************
Sudheer Joseph 
Indian National Centre for Ocean Information Services
Ministry of Earth Sciences, Govt. of India
POST BOX NO: 21, IDA Jeedeemetla P.O.
Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
E-mail:sjo...@gm...;sud...@ya...
Web- http://oppamthadathil.tripod.com
***************************************************************

Thank you Pierre.
 with best regards,
Sudheer
From: Pierre Haessig <pie...@cr...>
To: 
Cc: "mat...@li..." <mat...@li...> 
Sent: Thursday, 28 February 2013 7:15 PM
Subject: Re: [Matplotlib-users] cross correlation
 
Hi,
Le 27/02/2013 10:01, Sudheer Joseph a écrit :
> I was checking the plt.xcorr and it calls the np.correlate in side it.
> It calls np.correlate(ts1,ts2, mode=2).
Just as a side note, mode=2 is the old fashioned way to specify
mode='full' [1]. This may help in reading the numpy.correlate doc.
This being said, I'm really unfamiliar with cross-correlations. I just
kind of know the usual 95% confidence interval for autocorrelation at
1.96/sqrt(n). Just as a quick check, this is what R uses by default, but
there are options like ci.type get more appropriate intervals for an MA
series
(http://stat.ethz.ch/R-manual/R-patched/library/stats/html/plot.acf.html)
best,
Pierre
[1] https://github.com/numpy/numpy/blob/master/numpy/core/numeric.py#L678
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Hi,
May I know if it's possible to stop FuncAnimation()? I wanted to be able to
start FuncAnimation() when I click a "Start" button & stop the animation
when I click a "Stop" button. Googled but can't find any solution.
Best Regards,
Clare.

On Thu, Feb 28, 2013 at 7:00 AM, Aditya Gilra <adi...@ya...>wrote:
> Hi,
>
> I need to set the frame off for my plots, so that I can have axes only on
> the sides I want, rather than on all four sides.
> I do it this way:
>
> from pylab import *
>
> fig = figure(figsize=(3,2),dpi=300,facecolor='w')
> ax = fig.add_subplot(111,frameon=False)
> ax.add_artist(Line2D((0, 0), (0, 1),color='k',linewidth=0.5))
> ax.add_artist(Line2D((1, 1), (0, 1),color='k',linewidth=0.5))
> ax.set_yticks([0,1])
> ax.set_xticks([0,1])
> show()
>
>
Much easier way is to use "spines":
http://matplotlib.org/examples/pylab_examples/spine_placement_demo.html
> Unfortunately, now the ticks and axes-lines are misaligned, as seen in the
> screenshots attached. In the second screenshot, I've panned the plot, so
> the misalignment is even more visible.
>
> matplotlib.__version__ gives '1.1.1rc'
> matplotlib.get_backend() gives 'TkAgg'
>
> -------
>
> If I use 'WX' backend by adding these two line before the above code
> (before pylab import):
>
> import matplotlib
> matplotlib.use('WX')
>
> then the misalignment still appears to be there, but that is because the
> Line2Ds are clipped in their width, but the ticks are not. This is seen by
> panning the plot.
>
> I can set the clipping of the Line2Ds off by doing:
> l1 = ax.add_artist(Line2D((0, 0), (0, 1),color='k',linewidth=0.5))
> l1.set_clip_on(False)
> l2 = ax.add_artist(Line2D((1, 1), (0, 1),color='k',linewidth=0.5))
> l2.set_clip_on(False)
>
> So, WX backend is fine.
>
> Backend 'GTK' doesn't even have the above clipping problem.
>
>
Now that is interesting and should be investigated further.
Ben Root