- 1.25.0 (latest)
- 1.24.0
- 1.22.0
- 1.21.0
- 1.20.0
- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
- 1.15.0
- 1.14.0
- 1.13.0
- 1.12.0
- 1.11.1
- 1.10.0
- 1.9.0
- 1.8.0
- 1.7.0
- 1.6.0
- 1.5.0
- 1.4.0
- 1.3.0
- 1.2.0
- 1.1.0
- 1.0.0
- 0.26.0
- 0.25.0
- 0.24.0
- 0.23.0
- 0.22.0
- 0.21.0
- 0.20.1
- 0.19.2
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.1
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.0
- 0.8.0
- 0.7.0
- 0.6.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
StringDtype(storage=None)
Extension dtype for string data.
Parameter |
|
---|---|
Name | Description |
storage |
{"python", "pyarrow", "pyarrow_numpy"}, optional .. attribute:: None :noindex: .. method:: None :noindex: .. rubric:: Examples >>> pd.StringDtype() string[python] >>> pd.StringDtype(storage="pyarrow") string[pyarrow]
If not given, the value of |
Properties
na_value
Default NA value to use for this type.
This is used in e.g. ExtensionArray.take. This should be the user-facing "boxed" version of the NA value, not the physical NA value for storage. e.g. for JSONArray, this is an empty dictionary.
type
The scalar type for the array, e.g. int
It's expected ExtensionArray[item]
returns an instance
of ExtensionDtype.type
for scalar item
, assuming
that value is valid (not NA). NA values do not need to be
instances of type
.
Methods
__from_arrow__
__from_arrow__(array: pyarrow.Array | pyarrow.ChunkedArray) -> BaseStringArray
Construct StringArray from pyarrow Array/ChunkedArray.
construct_array_type
construct_array_type() -> type_t[BaseStringArray]
Return the array type associated with this dtype.
construct_from_string
construct_from_string(string) -> Self
Construct a StringDtype from a string.
Parameter | |
---|---|
Name | Description |
string |
str
The type of the name. The storage type will be taking from |
Exceptions | |
---|---|
Type | Description |
TypeError |
If the string is not a valid option. |