Attributes

None :

Methods

Notes

StringArray returns a BooleanArray for comparison methods.

Parameters

values : array-like

The array of data.

warning

Currently, this expects an object-dtype ndarray where the elements are Python strings or :None:attr:`pandas.NA`. This may change without warning in the future. Use :None:meth:`pandas.array` with dtype="string" for a stable way of creating a :None:None:`StringArray` from any sequence.

copy : bool, default False

Whether to copy the array of data.

Extension array for string data.

See Also

Series.str

The string methods are available on Series backed by a StringArray.

array

The recommended function for creating a StringArray.

Examples

This example is valid syntax, but we were not able to check execution

>>> pd.array(['This is', 'some text', None, 'data.'], dtype="string")
<StringArray>
['This is', 'some text', <NA>, 'data.']
Length: 4, dtype: string

Unlike arrays instantiated with dtype="object" , StringArray will convert the values to strings.

This example is valid syntax, but we were not able to check execution

>>> pd.array(['1', 1], dtype="object")
<PandasArray>
['1', 1]
Length: 2, dtype: object

This example is valid syntax, but we were not able to check execution

>>> pd.array(['1', 1], dtype="string")
<StringArray>
['1', '1']
Length: 2, dtype: string

However, instantiating StringArrays directly with non-strings will raise an error.

For comparison methods, StringArray returns a pandas.BooleanArray :

This example is valid syntax, but we were not able to check execution

>>> pd.array(["a", None, "c"], dtype="string") == "a"
<BooleanArray>
[True, <NA>, False]
Length: 3, dtype: boolean

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.arrays.string_.StringArray

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