- ogs5py.tools.tools.unique_rows(data, decimals=4, fast=True)
Unique made row-data with respect to given precision.
this is constructed to work best if point-pairs appear. The output is sorted like the input data. data needs to be 2D
data (ndarray) – 2D array containing the list of vectors that should be made unique
decimals (int, optional) – Number of decimal places to round the ‘data’ to (default: 3). If decimals is negative, it specifies the number of positions to the left of the decimal point. This will not round the output, it is just for comparison of the vectors.
fast (bool, optional) – If fast is True, the vector comparison is executed by a decimal comparison. If fast is False, all pairwise distances are calculated. Default: True
result (ndarray) – 2D array of unique rows of data
ix (ndarray) – index positions of output in input data (data[ix] = result) len(ix) = result.shape
ixr (ndarray) – reversed index positions of input in output data (result[ixr] = data) len(ixr) = data.shape
This routine will preserve the order within the given array as effectively as possible. If you use it with a stack of 2 arrays and the first one is already unique, the resulting array will still have the first array at the beginning.