pandas.SparseDtype

class pandas.SparseDtype(dtype=<class 'numpy.float64'>, fill_value=None) [source]

Dtype for data stored in SparseArray.

This dtype implements the pandas ExtensionDtype interface.

New in version 0.24.0.

Parameters:	dtype : str, ExtensionDtype, numpy.dtype, type, default numpy.float64 The dtype of the underlying array storing the non-fill value values. fill_value : scalar, optional The scalar value not stored in the SparseArray. By default, this depends on dtype. dtype na_value float np.nan int 0 bool False datetime64 pd.NaT timedelta64 pd.NaT The default value may be overridden by specifying a fill_value.

Attributes

fill_value	The fill value of the array.
kind	The sparse kind.
name	A string identifying the data type.
names	Ordered list of field names, or None if there are no fields.
type	The scalar type for the array, e.g.

subtype

Methods

construct_array_type()	Return the array type associated with this dtype
construct_from_string(string)	Construct a SparseDtype from a string form.
is_dtype(dtype)	Check if we match ‘dtype’.
update_dtype(dtype)	Convert the SparseDtype to a new dtype.