
dim_max
Finds the maximum of a variable's rightmost dimension at all other dimensions.
Prototype
function dim_max ( x : numeric ) return_val : typeof(x)
Arguments
xA variable of numeric type and any dimensionality.
Return value
The output dimensionality is the same as the first n-2 dimensions of the input variable. That is, the dimension rank of the input variable will be reduced by one.
Description
The dim_max function determines the maximum of all elements of the n-1th (rightmost) dimension for each index of the dimensions 0...n-2. Missing values are ignored.
Use dim_max_n if you want to specify which dimension(s) to do the maximum across.
See Also
min, max, dim_min, dim_max_n, dim_avg, dim_median, dim_num, dim_product, dim_rmsd, dim_rmvmean, dim_rmvmed, dim_standardize, dim_stat4, dim_stddev, dim_sum, dim_variance, copy_VarMeta
Examples
Example 1
Create a variable (q) of size (3,5,10) array. Then determine the maximum of the rightmost dimension.
q = random_uniform(-20,100,(/3,5,10/)) qMax = dim_max(q) ;==> qMax(3,5)Example 2
Let x be of size (ntim,nlat,mlon) and with named dimensions "time", "lat" and "lon", respectively. Then, for each time and latitude, the maximum longitude value may be obtained via:
xMaxLon = dim_max( x ) ; ==> xMaxLon(ntim,nlat)Example 3
Let x be defined as in Example 2: x(time,lat,lon). Determine the maximum value over all time at each latitude/longitude grid point. Use NCL's Named Subscripting to reorder the input array such that "time" is the rightmost dimension.
Note: Use dim_max_n to avoid having to reorder your data.
xMaxTime = dim_max( x(lat|:, lon|:, time|:) ) ; ==> xMaxTime(nlat,nlon) xMaxTime = dim_max_n( x, 0 ) ; no reordering needed