is_extension_type(arr) -> 'bool'

Extension classes include categoricals, pandas sparse objects (i.e. classes represented within the pandas library and not ones external to it like scipy sparse matrices), and datetime-like arrays.

Parameters

arr : array-like, scalar

The array-like to check.

Returns

boolean

Whether or not the array-like is of a pandas extension class instance.

Check whether an array-like is of a pandas extension class instance.

Examples

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

>>> is_extension_type([1, 2, 3])
False

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

>>> is_extension_type(np.array([1, 2, 3]))
False
>>>

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

>>> cat = pd.Categorical([1, 2, 3])
>>>

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

>>> is_extension_type(cat)
True

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

>>> is_extension_type(pd.Series(cat))
True

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

>>> is_extension_type(pd.arrays.SparseArray([1, 2, 3]))
True

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

>>> from scipy.sparse import bsr_matrix
... is_extension_type(bsr_matrix([1, 2, 3]))
False

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

>>> is_extension_type(pd.DatetimeIndex([1, 2, 3]))
False

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

>>> is_extension_type(pd.DatetimeIndex([1, 2, 3], tz="US/Eastern"))
True
>>>

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

>>> dtype = DatetimeTZDtype("ns", tz="US/Eastern")
... s = pd.Series([], dtype=dtype)
... is_extension_type(s)
True

See :

Back References

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

pandas.core.dtypes.common.is_extension_type

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File: /pandas/core/dtypes/common.py#1334
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