Removed reset_index() call causing DataFrame indices to be plotted

[PrinceWalnut]

Simple fix to deal with careless.completeness plotting the requested completeness and also the array indices involved. Examples of output below:

In [5]: results.reset_index().melt(xlabel)
Out[5]: 
   Resolution Range (Å)       variable      value
0               overall          index   0.000000
1          47.52 - 3.32          index   1.000000
2           3.32 - 2.62          index   2.000000
3           2.62 - 2.28          index   3.000000
4           2.28 - 2.07          index   4.000000
5           2.07 - 1.92          index   5.000000
6           1.92 - 1.80          index   6.000000
7           1.80 - 1.71          index   7.000000
8           1.71 - 1.63          index   8.000000
9           1.63 - 1.57          index   9.000000
10          1.57 - 1.50          index  10.000000
11              overall  non-anomalous   0.986750
12         47.52 - 3.32  non-anomalous   0.997331
13          3.32 - 2.62  non-anomalous   1.000000
14          2.62 - 2.28  non-anomalous   1.000000
15          2.28 - 2.07  non-anomalous   1.000000
16          2.07 - 1.92  non-anomalous   0.999546
17          1.92 - 1.80  non-anomalous   0.998642
18          1.80 - 1.71  non-anomalous   0.999095
19          1.71 - 1.63  non-anomalous   0.998198
20          1.63 - 1.57  non-anomalous   0.997815
21          1.57 - 1.50  non-anomalous   0.902456

In [6]: results.melt(xlabel)
Out[6]: 
   Resolution Range (Å)       variable     value
0               overall  non-anomalous  0.986750
1          47.52 - 3.32  non-anomalous  0.997331
2           3.32 - 2.62  non-anomalous  1.000000
3           2.62 - 2.28  non-anomalous  1.000000
4           2.28 - 2.07  non-anomalous  1.000000
5           2.07 - 1.92  non-anomalous  0.999546
6           1.92 - 1.80  non-anomalous  0.998642
7           1.80 - 1.71  non-anomalous  0.999095
8           1.71 - 1.63  non-anomalous  0.998198
9           1.63 - 1.57  non-anomalous  0.997815
10          1.57 - 1.50  non-anomalous  0.902456

[kmdalton]

Looks good to me. Thanks for debugging this!