[Python] Accept keywords in ChunkedArray.to_numpy() for compatibility with Array.to_numpy()

[jorisvandenbossche]

Describe the enhancement requested

Currently, if you have "a" pyarrow array object that can be either array or chunked array, and you call to_numpy with something that cannot be zero copy, you need to do:

if isinstance(array, pyarrow.Array):
    np_arr = array.to_numpy(zero_copy_only=False)
else:
    np_arr = array.to_numpy()

instead of simply:

np_arr = array.to_numpy(zero_copy_only=False)

because the chunked array version doesn't accept the keyword. To make this easier, I think we should just accept that keyword in ChunkedArray.to_numpy() as well (and only accept False as a possible value)

Component(s)

Python