- API reference
- pandas arrays, scalars, and data types
- pandas.SparseDtype
pandas.SparseDtype#
- classpandas.SparseDtype(dtype=<class'numpy.float64'>,fill_value=None)[source]#
Dtype for data stored in
SparseArray.This dtype implements the pandas ExtensionDtype interface.
- Parameters:
- dtypestr, ExtensionDtype, numpy.dtype, type, default numpy.float64
The dtype of the underlying array storing the non-fill value values.
- fill_valuescalar, optional
The scalar value not stored in the SparseArray. By default, thisdepends ondtype.
dtype
na_value
float
np.nanint
0bool
Falsedatetime64
pd.NaTtimedelta64
pd.NaTThe default value may be overridden by specifying afill_value.
Attributes
None
Methods
None
Examples
>>>ser=pd.Series([1,0,0],dtype=pd.SparseDtype(dtype=int,fill_value=0))>>>ser0 11 02 0dtype: Sparse[int64, 0]>>>ser.sparse.density0.3333333333333333
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