Re: [Matplotlib-users] matplotlib FuncAnimation hanging issue
On Sat, May 11, 2013 at 7:08 PM, Colin McAuliffe cjm2...@columbia.eduwrote: To add to the previous email I've tried this with a few different backends with no luck. Have similar issues been found when creating videos with mencoder? If the final result is the same switching away from ffmpeg is fine. Sorry for the delayed reply. I don't have mencoder on my system, but it's probably worth a try. More comments below. Quoting Colin McAuliffe cjm2...@columbia.edu: The above error does not occur if I switch to agg. Also using the ffmpeg command ffmpeg -f image2 -i t%d.jpg video.avi on a few images gives the following output, where I put !! next to the lines which are suppressed by including -loglevel quiet FFmpeg version SVN-r26402, Copyright (c) 2000-2011 the FFmpeg developers built on May 2 2013 23:13:41 with llvm_gcc 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2336.9.00) snip !!Output #0, avi, to 'video.avi': !! Metadata: !!ISFT: Lavf52.93.0 !!Stream #0.0: Video: mpeg4, yuv420p, 4272x2848, q=2-31, 200 kb/s, 25 tbn, 25 tbc Stream mapping: Stream #0.0 - #0.0 Press [q] to stop encoding frame=3 fps= 2 q=4.0 Lsize= 524kB time=0.12 bitrate=35781.7kbits/s video:519kB audio:0kB global headers:0kB muxing overhead 1.083673% So the line starting with frame= doesn't get suppressed when you run with `-loglevel quiet`? I actually thought those were the problematic lines (since more of those get printed out for longer encoding tasks). Maybe this is an issue with the ffmpeg version? Unfortunately, I don't have much free time to reply in more depth. Best, -Tony -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. This 200-page book is written by three acclaimed leaders in the field. The early access version is available now. Download your free book today! http://p.sf.net/sfu/neotech_d2d_may___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] matplotlib FuncAnimation hanging issue
On Mon, May 13, 2013 at 9:14 AM, Tony Yu tsy...@gmail.com wrote:
On Sat, May 11, 2013 at 7:08 PM, Colin McAuliffe cjm2...@columbia.eduwrote:
To add to the previous email I've tried this with a few different
backends with no luck. Have similar issues been found when creating videos
with mencoder? If the final result is the same switching away from ffmpeg
is fine.
Sorry for the delayed reply. I don't have mencoder on my system, but it's
probably worth a try. More comments below.
Quoting Colin McAuliffe cjm2...@columbia.edu:
The above error does not occur if I switch to agg.
Also using the ffmpeg command
ffmpeg -f image2 -i t%d.jpg video.avi
on a few images gives the following output, where I put !! next to the
lines which are suppressed by including -loglevel quiet
FFmpeg version SVN-r26402, Copyright (c) 2000-2011 the FFmpeg developers
built on May 2 2013 23:13:41 with llvm_gcc 4.2.1 (Based on Apple
Inc. build 5658) (LLVM build 2336.9.00)
snip
!!Output #0, avi, to 'video.avi':
!! Metadata:
!!ISFT: Lavf52.93.0
!!Stream #0.0: Video: mpeg4, yuv420p, 4272x2848, q=2-31, 200 kb/s,
25 tbn, 25 tbc
Stream mapping:
Stream #0.0 - #0.0
Press [q] to stop encoding
frame=3 fps= 2 q=4.0 Lsize= 524kB time=0.12
bitrate=35781.7kbits/s
video:519kB audio:0kB global headers:0kB muxing overhead 1.083673%
So the line starting with frame= doesn't get suppressed when you run
with `-loglevel quiet`? I actually thought those were the problematic lines
(since more of those get printed out for longer encoding tasks). Maybe this
is an issue with the ffmpeg version?
Unfortunately, I don't have much free time to reply in more depth.
Best,
-Tony
Oh, yeah: If you just want to try something to get this working, try
setting the verbosity level:
import matplotlib
matplotlib.verbose.set_level('debug')
Assuming this is the same issue as PR 989, redirecting stdout to the
command line will prevent the buffer issues. (You'll get a lot of debug
output printed to the command line, though).
Hope that helps,
-Tony
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Re: [Matplotlib-users] Basemap plotting data on projection
Dear Scott,
I am sorry for giving no reply. Thanks for your answer. I tried it and it
works fine.
best ,
Chao
On Tue, Apr 30, 2013 at 1:21 PM, Scott Sinclair-4 [via matplotlib]
ml-node+s1069221n40977...@n5.nabble.com wrote:
Forgot to send to the list sigh
-- Forwarded message --
From: Scott Sinclair [hidden
email]http://user/SendEmail.jtp?type=nodenode=40977i=0
Date: 30 April 2013 13:20
Subject: Re: [Matplotlib-users] Basemap plotting data on projection
To: ChaoYue [hidden
email]http://user/SendEmail.jtp?type=nodenode=40977i=1
On 29 April 2013 23:32, ChaoYue [hidden
email]http://user/SendEmail.jtp?type=nodenode=40977i=2
wrote:
pdata = np.genfromtxt('pdata.txt')
pdata = np.ma.masked_greater(pdata,1E20)
lonm,latm=m.makegrid(pdata.shape[1],pdata.shape[0])
The problem is here ^^^
The data don't lie on an equally spaced grid in the Mercator
projection, so it doesn't make sense to ask for the lat/lon
coordinates of a grid that is equally spaced in this projection. You
need to determine the *actual* lat/lon coordinates before projecting
them onto the Mercator map and plotting...
Something like this should work (If you can assume that the data are
on an equally spaced grid in Equidistant Cyl projection having the
boundaries specified):
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
# Set up the Equidistant Cyl projection to determine data locations.
pdata = np.genfromtxt('pdata.txt')
pdata = np.ma.masked_greater(pdata, 1E20)
ny, nx = pdata.shape
cyl_basemap = Basemap(projection='cyl', llcrnrlat=9, urcrnrlat=54.5,
llcrnrlon=74, urcrnrlon=142, lat_ts=20,
resolution='l')
lon, lat = cyl_basemap.makegrid(nx, ny)
# Set up the Mercator projection for plotting.
m = Basemap(projection='merc', llcrnrlat=9, urcrnrlat=54.5,\
llcrnrlon=74, urcrnrlon=142, lat_ts=20, resolution='l')
m.drawcountries()
m.drawcoastlines()
m.drawmapboundary(fill_color='white')
m.drawrivers()
x, y = m(lon, np.flipud(lat))
cs = m.contourf(x, y, pdata)
m.colorbar(cs)
plt.show()
Cheers,
Scott
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