How to use 'np.argsort descending' in Python
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96 def sort(x, dim=None, descending=False): 97 if dim is None: 98 dim = -1 99 ascend = not descending 100 # TODO this isn't an ideal implementation. 101 val = F.sort(x, axis=dim, is_ascend=ascend) 102 idx = F.argsort(x, axis=dim, is_ascend=ascend) 103 idx = F.cast(idx, dtype='int64') 104 return val, idx
2963 def hpat_pandas_series_argsort_noidx_impl(self, axis=0, kind='quicksort', order=None): 2964 sort = numpy.argsort(self._data, kind='mergesort') 2965 na = self.isna().sum() 2966 result = numpy.empty(len(self._data), dtype=numpy.int64) 2967 na_data_arr = hpat.hiframes.api.get_nan_mask(self._data) 2968 sort_nona = numpy.argsort(self._data[~na_data_arr], kind='mergesort') 2969 q = 0 2970 for id, i in enumerate(sort): 2971 if id not in list(sort[len(self._data) - na:]): 2972 result[id] = sort_nona[id - q] 2973 else: 2974 q += 1 2975 for i in sort[len(self._data) - na:]: 2976 result[i] = -1 2977 2978 return pandas.Series(result)