Implement initial version of rewrite for df.getitem as attr

[densmirn]

No description provided.

[kozlov-alexey]

So we won't rewrite if we didn't find valid column name, right?
This means we won't raise AttributeError as pandas does if we use an invalid attribute name. We should probably state that in limitations, or think if we can look for all_supported_dataframe_methods in this rewrite and if we actually call a method skip rewriting, which aligns to pandas behavior:

>>>df
   A  B  values
0  2 -8      -8
1  1  2       2
2  1  3       3
3  1  1       1
4  2  5       5
5  2  6       6
6  1  7       7
>>>df.values
array([[ 2, -8, -8],
       [ 1,  2,  2],
       [ 1,  3,  3],
       [ 1,  1,  1],
       [ 2,  5,  5],
       [ 2,  6,  6],
       [ 1,  7,  7]], dtype=int64)

[AlexanderKalistratov]

Yes, we need to think about it, but in next PR

[AlexanderKalistratov]

Right now, the main issue us the case when column is named like '_data', '_columns' or '_index'. This will break all uses of dataframe

[kozlov-alexey]

@densmirn Cool feature! 🥇 Have you felt yourself a magician during writing this?

[densmirn]

@densmirn Cool feature! 🥇 Have you felt yourself a magician during writing this?

At the least I liked working on the 😄