__init__(self, data, dtype=None): 

@property
shape(self): 

Provides the shape of the sparse array

• :returns: tuple[int]

to_state(self, serializer=None): 

Provides just the state that is needed to serialize the object

• serializer: Any

• :returns: _

@classmethod
from_state(cls, state, serializer=None): 

Loads from the stored state

• serializer: Any

• :returns: _

@classmethod
empty(cls, shape, dtype=None, **kw): 

Returns an empty SparseArray with the appropriate shape and dtype

• shape: Any

• dtype: Any

• kw: Any

• :returns: _

@property
block_data(self): 

Returns the row and column indices and vector of values that the sparse array is storing

• :returns: Tuple[np.ndarray, Iterable[np.ndarray]]

transpose(self, axes): 

Returns a transposed version of the tensor

• axes: Any

• :returns: _

ascoo(self): 

Converts the tensor into a scipy COO matrix…

• :returns: sp.coo_matrix

ascsr(self): 

Converts the tensor into a scipy COO matrix…

• :returns: sp.coo_matrix

reshape(self, newshape): 

Returns a reshaped version of the tensor

• axes: Any

• :returns: _

__truediv__(self, other): 

__rtruediv__(self, other): 

__rmul__(self, other): 

__mul__(self, other): 

true_multiply(self, other): 

Multiplies self and other

• other: Any

• :returns: _

dot(self, other): 

Takes a regular dot product of self and other

• other: Any

• axes: Any

• :returns: _