loop through arrays and find maximum

I would like to calculate the max and min across many netcdf files. I know how to create one big array and then concatenate and find the numpy.max but when I run this on 1000's of arrays I have a memory error. What I would prefer is to loop through the arrays and produce the maximum without having

Re: mask one array using another array

thank you, that makes sense. I should have posted this on another list (which I have now). and the change required is: If your new array is x, you can use: numpy.ma.masked_array(x, mask=mask.mask) On Tue, Nov 22, 2011 at 11:48 AM, MRAB wrote: > On 21/11/2011 21:42, questions anon wr

mask one array using another array

I am trying to mask one array using another array. I have created a masked array using mask=MA.masked_equal(myarray,0), that looks something like: [1 - - 1, 1 1 - 1, 1 1 1 1, - 1 - 1] I have an array of values that I want to mask whereever my mask has a a '-'. how do I do this? I

Re: memory error

= plt.axes([l+w+0.025, b, 0.025, h], ) cbar=plt.colorbar(CS, cax=cax, drawedges=True) #save map as *.png and plot netcdf file plt.savefig((os.path.join(OutputFolder, ncvariablename+date_string+'UTC.png'

memory error

Hello All, I keep coming across a memory error when processing many netcdf files. I assume it has something to do with how I loop things and maybe need to close things off properly. In the code below I am looping through a bunch of netcdf files (each file is hourly data for one month) and within ea