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.