BUG: Series[python_str].__setitem__(series[pyarrow_string]

[jbrockmendel]

ser = pd.Series(range(5), dtype="string[python]")
ser2 = ser.astype("string[pyarrow]")


>>> ser[:2] = ser2[:2]
  File "pandas/core/arrays/string_.py", line 428, in __setitem__
    if len(value) and not lib.is_string_array(value, skipna=True):
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: Argument 'values' has incorrect type (expected numpy.ndarray, got ArrowStringArray)

lib.is_string_array check in the traceback is preceded by

            if not is_array_like(value):
                value = np.asarray(value, dtype=object)
            if len(value) and not lib.is_string_array(value, skipna=True):

The is_array_like here is wrong. In this case we just need to convert to ndarray unconditionally.

[Tharun-PS]

take

[Tharun-PS]

In this case we just need to convert to ndarray unconditionally.

removing if condition will solve this ?

[jbrockmendel]

This works on main. Could use a test (first check if a test already exists).