On Thu, Apr 28, 2011 at 1:01 PM, Wes McKinney <[email protected]> wrote:
> On Thu, Apr 28, 2011 at 12:55 PM, Pau <[email protected]> wrote:
>> Hi,
>>
>> I am trying to use recursively a matplotlib script to create 650 plots.
>>
>> For this, I have defined
>>
>> cluster = loadtxt(sys.argv[1])
>> MBH = loadtxt ('./TrajectoryMBH.asc')
>>
>> X_cl = cluster[:, 2] # Column 3
>> Y_cl = cluster[:, 3] # Column 4
>> Z_cl = cluster[:, 4] # Column 5
>>
>> X_mbh = MBH[:, 2] # Column 3
>> Y_mbh = MBH[:, 3] # Column 4
>> Z_mbh = MBH[:, 4] # Column 5
>>
>>
>> because "cluster" is the file that changes. TrajectoryMBH.asc is
>> always the same file for all 650 plots
>>
>> This way, I can run
>>
>> ./Hit_Cluster_MBH.py MYFILE_001.dat
>>
>> and the script takes MYFILE_001.dat as "cluster".
>>
>> Now, I would like matplotlib to produce the eps file automatically,
>> without any popup window.
>>
>> For this, I usually define
>>
>> import matplotlib
>> matplotlib.use('Agg')
>> import matplotlib.pyplot as plt
>>
>> and the, at the very bottom, instead of
>>
>> show()
>>
>> I have
>>
>> plt.savefig('MyEPS.eps')
>>
>> What I would like though is that matplotlib produces automatically
>>
>> MYFILE_001.eps
>> MYFILE_002.eps
>>
>> etc
>>
>> when running the python script within a shell script such as
>>
>> for file in $(ls *dat) ; do ; ./Hit_Cluster_MBH.py $file ; done
>>
>> but I do not know how to do this in the
>>
>> plt.savefig('MyEPS.eps')
>>
>> part...
>>
>> Obviously
>>
>> plt.savefig('$file.eps')
>>
>> does not work.
>>
>> Any hint will be appreciated.
>>
>> Thanks,
>>
>> Pau
>>
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>
> How about something like:
>
> name, ext = sys.argv[1].split('.')
> plt.savefig('%s.eps' % name)
>
Also, if you do everything in Python instead of a shell script, the
whole process will take much less time. E.g.:
def generate_eps_file(pth):
...
# generate your plot from specified file
name, ext = pth.split('.')
plt.savefig('%s.eps' % name)
import glob
files = glob.glob('*.dat')
for filepath in files:
generate_eps_file(filepath)
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management toolset available today. Delivers lowest initial
acquisition cost and overall TCO of any competing solution.
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