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# pandas.Series.sparse.fill_value

Series.sparse.fill_value

  Elements in data that are fill_value are not stored.

  For memory savings, this should be the most common value in the array.

  See also

  `SparseDtype`

    Dtype for data stored in `SparseArray`.

  `Series.value_counts`

    Return a Series containing counts of unique values.

  `Series.fillna`

    Fill NA/NaN in a Series with a specified value.

  Examples

      >>> ser = pd.Series([0, 0, 2, 2, 2], dtype="Sparse[int]")
      >>> ser.sparse.fill_value
      0
      >>> spa_dtype = pd.SparseDtype(dtype=np.int32, fill_value=2)
      >>> ser = pd.Series([0, 0, 2, 2, 2], dtype=spa_dtype)
      >>> ser.sparse.fill_value
      2