Efficient two dimensional numpy array statistics
How many grids are there? 
One option would be to create a 3D array that is 100x100xnumGrids and compute the median across the 3rd dimension.
I have many 100x100 grids, is there an efficient way using numpy to calculate the median for every grid point and return just one 100x100 grid with the median values? Presently, I'm using a for loop to run through each grid point, calculating the median and then combining them into one grid at the end. I'm sure there's a better way to do this using numpy. Any help would be appreciated! Thanks!