pandas.testing.assert_extension_array_equal

pandas.testing.assert_extension_array_equal(left, right, check_dtype=True, index_values=None, check_exact=False, rtol=1e-05, atol=1e-08, obj='ExtensionArray')

Check that left and right ExtensionArrays are equal.

Parameters

left, rightExtensionArray

The two arrays to compare.

check_dtypebool, default True

Whether to check if the ExtensionArray dtypes are identical.

index_valuesnumpy.ndarray, default None

Optional index (shared by both left and right), used in output.

check_exactbool, default False

Whether to compare number exactly.

rtolfloat, default 1e-5

Relative tolerance. Only used when check_exact is False.

New in version 1.1.0.

atolfloat, default 1e-8

Absolute tolerance. Only used when check_exact is False.

New in version 1.1.0.

objstr, default ‘ExtensionArray’

Specify object name being compared, internally used to show appropriate assertion message.

New in version 2.0.0.

Notes

Missing values are checked separately from valid values. A mask of missing values is computed for each and checked to match. The remaining all-valid values are cast to object dtype and checked.

Examples

>>> from pandas import testing as tm
>>> a = pd.Series([1, 2, 3, 4])
>>> b, c = a.array, a.array
>>> tm.assert_extension_array_equal(b, c)