Closed
Description
idx = pd.Index([2, 3])
ser = idx.to_series()
df = ser.to_frame()
foo = pd.Index(['foo', 'foo'])
>>> idx == 'foo'
False
>>> idx < 'foo'
PY2 --> False
PY3 --> TypeError
>>> ser == 'foo'
TypeError
>>> ser < 'foo'
TypeError
>>> ser == foo
2 False
3 False
dtype: bool
>>> ser < foo
PY2 --> All-True-Series
PY3 --> TypeError
>>> ser > foo
Py2 --> All-False-Series
PY3 --> TypeError
>>> df == 'foo'
0
2 False
3 False
>>> df < 'foo'
0
2 True
3 True
>>> df > 'foo'
PY2 --> All-False-DataFrame
PY3 --> All-True-DataFrame
>>> df == foo # Same for inequalities
[...]
TypeError: reindex() got an unexpected keyword argument 'axis'
>>> df == pd.Series(foo)
0 1
2 False False
3 False False
>>> df < pd.Series(foo)
PY2 --> All-True-DataFrame[2x2]
PY3 --> TypeError
>>> df > pd.Series(foo)
PY2 --> All-False-DataFrame[2x2]
PY3 --> TypeError
>>> df == pd.Series(foo, index=idx)
0 2 3
2 False False False
3 False False False
>>> df < pd.Series(foo, index=idx)
PY3 --> TypeError
PY2 -->
0 2 3
2 False True True
3 False True True
>>> df > pd.Series(foo, index=idx)
PY3 --> TypeError
PY2 -->
0 2 3
2 False False False
3 False False False