different results when mixed vs single dtypes
In [1]: df = DataFrame(dict(A = np.arange(5), B = np.arange(5,10)))
In [2]: df
Out[2]:
A B
0 0 5
1 1 6
2 2 7
3 3 8
4 4 9
In [4]: df.iloc[2:4] = [[10,11],[12,13]]
In [5]: df
Out[5]:
A B
0 0 5
1 1 6
2 10 11
3 12 13
4 4 9
In [6]: df = DataFrame(dict(A = list('abcde'), B = np.arange(5,10)))
In [7]: df.iloc[2:4] = [['x',11],['y',13]]
In [8]: df
Out[8]:
A B
0 a 5
1 b 6
2 x y
3 11 13
4 e 9
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