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how to get plots made faster

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  how to get plots made faster amar Singh <jagteraho2006@gmail.com> - 2012-03-08 20:40 -0800
    Re: how to get plots made faster Mark Lawrence <breamoreboy@yahoo.co.uk> - 2012-03-09 06:01 +0000

#21419 — how to get plots made faster

The following is the part of my code which is running faster locally
and more slowly remotely via ssh on the same machine. Note I am trying
to generate a multi-page report.


## create plots and write to a pdf file
from scipy import *
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages

# open a multi-page pdf file
pp = PdfPages('history_plot.pdf')

F=loadtxt('hist.dat',comments='%')


t=F[:,0]
E=F[:,13]

plt.plot(t,E)

h1=plt.ylabel('Energy', fontsize=16)
h1=plt.xlabel('Time', fontsize=16)
pp.savefig()

plt.clf()
VdotB=F[:,14]
plt.plot(t,VdotB)

pp.savefig()
pp.close()

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#21420

On 09/03/2012 04:40, amar Singh wrote:
> The following is the part of my code which is running faster locally
> and more slowly remotely via ssh on the same machine. Note I am trying
> to generate a multi-page report.
>
>
> ## create plots and write to a pdf file
> from scipy import *
> import matplotlib.pyplot as plt
> from matplotlib.backends.backend_pdf import PdfPages
>
> # open a multi-page pdf file
> pp = PdfPages('history_plot.pdf')
>
> F=loadtxt('hist.dat',comments='%')
>
>
> t=F[:,0]
> E=F[:,13]
>
> plt.plot(t,E)
>
> h1=plt.ylabel('Energy', fontsize=16)
> h1=plt.xlabel('Time', fontsize=16)
> pp.savefig()
>
> plt.clf()
> VdotB=F[:,14]
> plt.plot(t,VdotB)
>
> pp.savefig()
> pp.close()

I can't help directly but you may be better off asking on the matplotlib 
users mailing list see 
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

-- 
Cheers.

Mark Lawrence.

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