torch.nonzero(tensor) # Index of non-zero elementstorch.nonzero(tensor == 0) # Index of zero elementstorch.nonzero(tensor).size(0) # Number of non-zero elementstorch.nonzero(tensor == 0).size(0) # Number of zero elements 1. 张量扩展 # Expand tensor of shape 64*512 to shape 64*...
isin是python关键字in的元素明智函数版本。isin(a, b)大致相当于np.array([item in b for item in a])如果a和b是1-D序列。 如果元素和test_elements还没有被转换为数组,那么它们将被转换为数组。如果test_elements是一个集合(或其他非序列集合),那么它将被转换为一个只有一个元素的对象数组,而不是test_el...
A real or complex two-dimensional array is dimensioned aslval byndiag. Each column of it contains the non-zero elements of certain diagonal ofA. The key point of the storage is that each element invalues retains the row number of the original matrix. To achieve this diagonals in the lower ...
def singleNumber(self, nums: List[int]) -> int: hash_table = defaultdict(int) # 新建哈希表 for num in nums: print(hash_table[num]) # 如果不存在num,则返回0 hash_table[num] += 1 # 以num为key,num的个数为val for num in hash_table: # 遍历key ...
The number of dimensions of the input image. connectivity : int, array, or None The neighborhood connectivity. An integer is interpreted as in ``scipy.ndimage.generate_binary_structure``, as the maximum number of orthogonal steps to reach a neighbor. An array is directly ...
Thus, expressions like1<'',0>Noneorlen<=lenare no longer valid, and e.g.None<NoneraisesTypeErrorinstead of returningFalse. A corollary is that sorting a heterogeneous list no longer makes sense -- all the elements must be comparable to each other. Note that this does not apply to the==...
(value) -> integer -- return number of occurrences of value """ return 0 def extend(self, iterable): # real signature unknown; restored from __doc__ """ L.extend(iterable) -- extend list by appending elements from the iterable """ pass def index(self, value, start=None, stop=...
(seq) method of random.Random instanceChoose a random element from a non-empty sequence.No. 3 :Help on method choices in module random:choices(population, weights=None, *, cum_weights=None, k=1) method of random.Random instanceReturn a k sized list of population elements chosen with ...
torch.nonzero(tensor) # index of non-zero elements torch.nonzero(tensor==0) # index of zero elements torch.nonzero(tensor).size(0) # number of non-zero elements torch.nonzero(tensor == 0).size(0) # number of zero elements
In addition to its plotting tools, pandas also offers a convenient.value_counts()method that computes a histogram of non-null values to a pandasSeries: Python >>>importpandasaspd>>>data=np.random.choice(np.arange(10),size=10000,...p=np.linspace(1,11,10)/60)>>>s=pd.Series(data)>>...