Closed
Description
Here's how it looks like:
In [11]: s = pd.Series(np.arange(10), pd.MultiIndex.from_product(([0, 1], list('abcde'))))
In [12]: s
Out[12]:
0 a 0
0 b 1
0 c 2
0 d 3
0 e 4
1 a 5
1 b 6
1 c 7
1 d 8
1 e 9
dtype: int64
In [13]: s.iloc[::4] = 100; s
Out[13]:
0 a 100
0 b 100
0 c 100
0 d 100
0 e 100
1 a 5
1 b 6
1 c 7
1 d 8
1 e 9
dtype: int64
In [14]: s.loc[::4] = 200; s
Out[14]:
0 a 200
0 b 200
0 c 200
0 d 200
0 e 200
1 a 5
1 b 6
1 c 7
1 d 8
1 e 9
dtype: int64
In [15]: s.ix[::4] = 300; s
Out[15]:
0 a 300
0 b 300
0 c 300
0 d 300
0 e 300
1 a 5
1 b 6
1 c 7
1 d 8
1 e 9
dtype: int64Regular setitem works fine:
In [16]: s[::4] = 10000; s
Out[16]:
0 a 10000
0 b 300
0 c 300
0 d 300
0 e 10000
1 a 5
1 b 6
1 c 7
1 d 10000
1 e 9
dtype: int64I have some ideas about iloc refactoring that will fix that for iloc, but loc/ix will still be affected.