code: def is_sparse(arr):
      """
      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
      ----------
      arr : array-like
          Array-like to check.
  
      Returns
      -------
      bool
          Whether or not the array-like is a pandas sparse array.
  
      See Also
      --------
      DataFrame.to_sparse : Convert DataFrame to a SparseDataFrame.
      Series.to_sparse : Convert Series to SparseSeries.
      Series.to_dense : Return dense representation of a Series.
  
      Examples
      --------
      Returns `True` if the parameter is a 1-D pandas sparse array.
  
      >>> is_sparse(pd.SparseArray([0, 0, 1, 0]))
      True
      >>> is_sparse(pd.SparseSeries([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.
  
      >>> df = pd.SparseDataFrame([389., 24., 80.5, np.nan],
                                  columns=['max_speed'],
                                  index=['falcon', 'parrot', 'lion', 'monkey'])
      >>> is_sparse(df)
      False
      >>> is_sparse(df.max_speed)
      True
      """
      from pandas.core.arrays.sparse import SparseDtype
  
      dtype = getattr(arr, "dtype", arr)
      return isinstance(dtype, SparseDtype)
  
imports: import warnings
  import numpy
  from pandas._libs import algos, lib
  from pandas._libs.tslibs import conversion
  from pandas.compat import PY3, PY36, string_types
  from pandas.core.dtypes.dtypes import CategoricalDtype, DatetimeTZDtype, ExtensionDtype, IntervalDtype, PandasExtensionDtype, PeriodDtype, registry
  from pandas.core.dtypes.generic import ABCCategorical, ABCDateOffset, ABCDatetimeIndex, ABCIndexClass, ABCPeriodArray, ABCPeriodIndex, ABCSeries
  from pandas.core.dtypes.inference import is_array_like, is_bool, is_complex, is_decimal, is_dict_like, is_file_like, is_float, is_hashable, is_integer, is_interval, is_iterator, is_list_like, is_named_tuple, is_nested_list_like, is_number, is_re, is_re_compilable, is_scalar, is_sequence, is_string_like
label_desc: Use image node_id 7 for calling a global function with example usage: is_sparse(arr) and returns: isinstance