ser = pd.Series([b'foo'], dtype=object) idx = pd.Index(ser) In [3]: ser.astype(str)[0] Out[3]: "b'foo'" In [4]: idx.astype(str)[0] Out[4]: 'foo'
Series goes through astype_nansafe and from there through ensure_string_array. Index just calls calls the ndarray's .astype method. The Index behavior is specifically tested in test_astype_str_from_bytes xref #38607.
Index.astype can raise on non-ascii bytestrs:
val = 'あ'
bval = val.encode("UTF-8")
ser2 = pd.Series([bval], dtype=object)
idx2 = pd.Index(ser2)
In [21]: ser2.astype(str)[0]
Out[21]: "b'\\xe3\\x81\\x82'"
In [22]: idx2.astype(str)
---------------------------------------------------------------------------
UnicodeDecodeError Traceback (most recent call last)
[...]
TypeError: Cannot cast Index to dtype <U0
These behaviors should match. I don't really have a preference between them.
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