def is_scipy_sparse(array):
""" return if we are a scipy.sparse.spmatrix """
global _is_scipy_sparse
if _is_scipy_sparse is None:
try:
from scipy.sparse import issparse as _is_scipy_sparse
except ImportError:
_is_scipy_sparse = lambda _: False
return _is_scipy_sparse(array)
def is_scipy_sparse(array):
""" return if we are a scipy.sparse.spmatrix """
global _is_scipy_sparse
if _is_scipy_sparse is None:
try:
from scipy.sparse import issparse as _is_scipy_sparse
except ImportError:
_is_scipy_sparse = lambda _: False
return _is_scipy_sparse(array)
def is_scipy_sparse(arr):
"""
Check whether an array-like is a scipy.sparse.spmatrix instance.
Parameters
----------
arr : array-like
The array-like to check.
Returns
-------
boolean : Whether or not the array-like is a
scipy.sparse.spmatrix instance.
Notes
-----
If scipy is not installed, this function will always return False.
Examples
--------
>>> from scipy.sparse import bsr_matrix
>>> is_scipy_sparse(bsr_matrix([1, 2, 3]))
True
>>> is_scipy_sparse(pd.SparseArray([1, 2, 3]))
False
>>> is_scipy_sparse(pd.SparseSeries([1, 2, 3]))
False
"""
global _is_scipy_sparse
if _is_scipy_sparse is None:
try:
from scipy.sparse import issparse as _is_scipy_sparse
except ImportError:
_is_scipy_sparse = lambda _: False
return _is_scipy_sparse(arr)
def is_scipy_sparse(arr):
"""
Check whether an array-like is a scipy.sparse.spmatrix instance.
Parameters
----------
arr : array-like
The array-like to check.
Returns
-------
boolean : Whether or not the array-like is a
scipy.sparse.spmatrix instance.
Notes
-----
If scipy is not installed, this function will always return False.
Examples
--------
>>> from scipy.sparse import bsr_matrix
>>> is_scipy_sparse(bsr_matrix([1, 2, 3]))
True
>>> is_scipy_sparse(pd.SparseArray([1, 2, 3]))
False
>>> is_scipy_sparse(pd.SparseSeries([1, 2, 3]))
False
"""
global _is_scipy_sparse
if _is_scipy_sparse is None:
try:
from scipy.sparse import issparse as _is_scipy_sparse
except ImportError:
_is_scipy_sparse = lambda _: False
return _is_scipy_sparse(arr)