is_sparse(arr) -> 'bool'
Check that the one-dimensional array-like is a pandas sparse array. Returns True if it is a pandas sparse array, not another type of sparse array.
Array-like to check.
Whether or not the array-like is a pandas sparse array.
Check whether an array-like is a 1-D pandas sparse array.
Returns :None:None:`True` if the parameter is a 1-D pandas sparse array.
>>> is_sparse(pd.arrays.SparseArray([0, 0, 1, 0])) TrueThis example is valid syntax, but we were not able to check execution
>>> is_sparse(pd.Series(pd.arrays.SparseArray([0, 0, 1, 0]))) True
Returns :None:None:`False` if the parameter is not sparse.
>>> is_sparse(np.array([0, 0, 1, 0])) FalseThis example is valid syntax, but we were not able to check execution
>>> is_sparse(pd.Series([0, 1, 0, 0])) False
Returns :None:None:`False` if the parameter is not a pandas sparse array.
>>> from scipy.sparse import bsr_matrix
... is_sparse(bsr_matrix([0, 1, 0, 0])) False
Returns :None:None:`False` if the parameter has more than one dimension.
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.dtypes.common.is_sparse
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