Why numpy array is not of Sequence type?

Question

Help understand why numpy array is not a Sequence type object.

from typing import Sequence
import numpy as np

x = np.array([1,2,3])
isinstance(x, Sequence)
---
False

• sequence

An iterable which supports efficient element access using integer indices via the __getitem__() special method and defines a __len__() method that returns the length of the sequence. Some built-in sequence types are list, str, tuple, and bytes. Note that dict also supports __getitem__() and __len__(), but is considered a mapping rather than a sequence because the lookups use arbitrary immutable keys rather than integers.

The collections.abc.Sequence abstract base class defines a much richer interface that goes beyond just __getitem__() and __len__(), adding count(), index(), __contains__(), and __reversed__().

Answer 1

Because it doesn't conform to any of the collections.abc interfaces, so specifically, collections.abc.Sequence should support index and .count. collections.abc.MutableSequence require that as well, but also __delitem__ and .insert