> > I ran the example on my machine (which is a 64-bit Linux box with 8 GB
> of
> > RAM; Python 2.7, matplotlib 1.3.1) and it runs fine. However, it does
> use
> > around 2 GB of memory, perhaps slightly more. I think the memory usage
> > might be a problem for you if you are using 32-bit Windows.
Andrew,
> I ran the example on my machine (which is a 64-bit Linux box with 8 GB of
> RAM; Python 2.7, matplotlib 1.3.1) and it runs fine. However, it does use
> around 2 GB of memory, perhaps slightly more. I think the memory usage
> might be a problem for you if you are using 32-bit Windows. I'm
Runs to completion without errors on my installation:
OS X 10.9.4
MacBook Air w/ 8GB of memory
Python 2.7 and matplotlib 1.3.1-1 lib
-Dale
On Aug 10, 2014, at 13:43 , Hartmut Kaiser wrote:
> All,
>
> I'm running into a crash while trying to construct a
> tri.LinearTriInterpolator. Here is
Hi Hartmut.
I ran the example on my machine (which is a 64-bit Linux box with 8 GB of
RAM; Python 2.7, matplotlib 1.3.1) and it runs fine. However, it does use
around 2 GB of memory, perhaps slightly more. I think the memory usage
might be a problem for you if you are using 32-bit Windows. I'm not
Ian,
> I'm running into a crash while trying to construct a
> tri.LinearTriInterpolator. Here is the short version of the code:
>
> import netCDF4
> import matplotlib.tri as tri
>
> var = netCDF4.Dataset('filename.cdf').variables
> x = var['x'][:]
> y = var['y'][:]
> data
On 10 August 2014 18:43, Hartmut Kaiser wrote:
> All,
>
> I'm running into a crash while trying to construct a
> tri.LinearTriInterpolator. Here is the short version of the code:
>
> import netCDF4
> import matplotlib.tri as tri
>
> var = netCDF4.Dataset('filename.cdf').variables
>
