Re: [Matplotlib-users] MemoryError with NetCDF

[Ethan G. <eth...@gm...>]

On Sep 7, 2012, at 11:04 AM, Eric Firing wrote:

> On 2012/09/07 4:00 AM, Benjamin Root wrote:
>> 
>> 
>> On Fri, Sep 7, 2012 at 9:49 AM, Shahar Shani-Kadmiel
>> <ka...@po... <mailto:ka...@po...>> wrote:
>> 
>>    On Sep 7, 2012, at 4:25 PM, Benjamin Root wrote:
>> 
>>> 
>>> 
>>>    On Fri, Sep 7, 2012 at 8:44 AM, Shahar Shani-Kadmiel
>>>    <ka...@po... <mailto:ka...@po...>> wrote:
>>> 
> 
<snip>

> Normalization has to handle all sorts of inputs--masked or not, all 
> sorts of numbers, scalar or array--and it is much easier to do this 
> efficiently if all these possibilities are reduced to a very few at the 
> start.  Specifically, it needs to supply a copy of the input (so that 
> normalization doesn't change the original) in a floating point masked 
> array, using float32 if possible for space efficiency.  It needs to keep 
> track of whether the input was a scalar, so that normalization can 
> return a scalar when given a scalar input.
> 
> Eric

Another option as I understand it is to pass in a 1D (greyscale) or 3d (color) array (where the 3rd dimension is RGB and optionally A) of type uint8(?). This array does not need to get normalized, it will be displayed as raw pixel values.  I don't remember if you also have to specifically tell it not to normalize the data. 

But the easier answer for your case would probably be imshow(data[::10,::10]) which will take every 10th element in x and y thus reducing the size by a factor of 100 (depending on the size of your data you could use ::2 or ::50, etc)

Ethan