This is documentation for an old release of NumPy (version 1.10.1). Read this page in the documentation of the latest stable release (version > 1.17).
numpy.ma.masked_array.argsort¶
- masked_array.argsort(axis=None, kind='quicksort', order=None, fill_value=None)[source]¶
Return an ndarray of indices that sort the array along the specified axis. Masked values are filled beforehand to fill_value.
Parameters: axis : int, optional
Axis along which to sort. The default is -1 (last axis). If None, the flattened array is used.
fill_value : var, optional
Value used to fill the array before sorting. The default is the fill_value attribute of the input array.
kind : {‘quicksort’, ‘mergesort’, ‘heapsort’}, optional
Sorting algorithm.
order : list, optional
When a is an array with fields defined, this argument specifies which fields to compare first, second, etc. Not all fields need be specified.
Returns: index_array : ndarray, int
Array of indices that sort a along the specified axis. In other words, a[index_array] yields a sorted a.
See also
- sort
- Describes sorting algorithms used.
- lexsort
- Indirect stable sort with multiple keys.
- ndarray.sort
- Inplace sort.
Notes
See sort for notes on the different sorting algorithms.
Examples
>>> a = np.ma.array([3,2,1], mask=[False, False, True]) >>> a masked_array(data = [3 2 --], mask = [False False True], fill_value = 999999) >>> a.argsort() array([1, 0, 2])