本文整理匯總了Python中numpy.ndarray.sort方法的典型用法代碼示例。如果您正苦於以下問題：Python ndarray.sort方法的具體用法？Python ndarray.sort怎麽用？Python ndarray.sort使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy.ndarray的用法示例。
在下文中一共展示了ndarray.sort方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: sort
# 需要導入模塊: from numpy import ndarray [as 別名]
# 或者: from numpy.ndarray import sort [as 別名]
def sort(a, axis=-1, kind='quicksort', order=None, endwith=True, fill_value=None):
"Function version of the eponymous method."
a = narray(a, copy=True, subok=True)
if axis is None:
a = a.flatten()
axis = 0
if fill_value is None:
if endwith:
# nan > inf
if np.issubdtype(a.dtype, np.floating):
filler = np.nan
else:
filler = minimum_fill_value(a)
else:
filler = maximum_fill_value(a)
else:
filler = fill_value
sindx = filled(a, filler).argsort(axis=axis, kind=kind, order=order)
# save meshgrid memory for 1d arrays
if a.ndim == 1:
indx = sindx
else:
indx = np.meshgrid(*[np.arange(x) for x in a.shape], sparse=True,
indexing='ij')
indx[axis] = sindx
return a[indx] 示例2: argsort
# 需要導入模塊: from numpy import ndarray [as 別名]
# 或者: from numpy.ndarray import sort [as 別名]
def argsort(self, axis=None, kind='quicksort', order=None, fill_value=None):
"""
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])
"""
if fill_value is None:
fill_value = default_fill_value(self)
d = self.filled(fill_value).view(ndarray)
return d.argsort(axis=axis, kind=kind, order=order)