Hi Steve,
After some test in my plots and googling. I changed my version of Gnuplot
from 4.6. patchlevel 4 to gnuplot 4.6 patchlevel 6 and julia is working
perfectly now.
I don't know how julia and Gnuplot are related but it works.
On Thursday, August 27, 2015 at 8:24:43 AM UTC-4, Juan Carlos
On Tuesday, September 1, 2015 at 4:55:10 PM UTC-4, Juan Carlos Cuevas
Bautista wrote:
>
> After some test in my plots and googling. I changed my version of Gnuplot
> from 4.6. patchlevel 4 to gnuplot 4.6 patchlevel 6 and julia is working
> perfectly now.
> I don't know how julia and Gnuplot
Are you using PyPlot from IJulia? It uses PNG to display the image. What
happens if you savefig('foo.png') in Python?
Hi Steve,
I am not using Ijulia, I am using just the terminal. I used the command
savefig(exponentialjl.pdf);
to save my figure in julia. On the other hand I save the figure like
png in python
savefig('exponential.png')
and it's working perfectly. Actually I also use octave and the plots
look
On Wednesday, August 26, 2015 at 2:07:44 PM UTC-4, Juan Carlos Cuevas
Bautista wrote:
I am plotting some data in Julia and I am using PyPlot. The issue is that
the plots
that I am getting are kind of messy. When I use the command plot, it gives
the next error:
libpng error: bad
Hi Steven,
No, it works perfectly in Python.
2015-08-26 15:07 GMT-04:00 Steven G. Johnson stevenj@gmail.com:
On Wednesday, August 26, 2015 at 2:07:44 PM UTC-4, Juan Carlos Cuevas
Bautista wrote:
I am plotting some data in Julia and I am using PyPlot. The issue is that
the plots
that
Hi Steven,
Pyhton returns
matplotlib.get_backend()
u'Qt4Agg
Julia Returns
julia PyPlot.matplotlib[:get_backend]()
Qt4Agg
2015-08-26 22:17 GMT-04:00 Steven G. Johnson stevenj@gmail.com:
On Wednesday, August 26, 2015 at 3:50:09 PM UTC-4, Juan Carlos Cuevas
Bautista wrote:
Hi Steven,
On Wednesday, August 26, 2015 at 3:50:09 PM UTC-4, Juan Carlos Cuevas
Bautista wrote:
Hi Steven,
No, it works perfectly in Python.
Is it using a different backend in Python? What does
matplotlib.get_backend() return in Python vs.
PyPlot.matplotlib[:get_backend]()?