pandas.api.types.is_sparse#
- pandas.api.types.is_sparse(arr)[source]#
Check whether an array-like is a 1-D pandas sparse array.
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.
- Parameters
- arrarray-like
Array-like to check.
- Returns
- bool
Whether or not the array-like is a pandas sparse array.
Examples
Returns True if the parameter is a 1-D pandas sparse array.
>>> is_sparse(pd.arrays.SparseArray([0, 0, 1, 0])) True >>> is_sparse(pd.Series(pd.arrays.SparseArray([0, 0, 1, 0]))) True
Returns False if the parameter is not sparse.
>>> is_sparse(np.array([0, 0, 1, 0])) False >>> is_sparse(pd.Series([0, 1, 0, 0])) False
Returns 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 False if the parameter has more than one dimension.