|
1 | 1 | ============================================= |
2 | | - MEP 28: Remove Complexity from Axes.boxplot |
| 2 | + MEP28: Remove Complexity from Axes.boxplot |
3 | 3 | ============================================= |
4 | 4 |
|
5 | 5 | .. contents:: |
6 | 6 | :local: |
7 | 7 |
|
| 8 | + |
8 | 9 | Status |
9 | 10 | ====== |
10 | | - |
11 | | -.. |
12 | | -.. MEPs go through a number of phases in their lifetime: |
13 | | -
|
14 | 11 | **Discussion** |
15 | | -.. |
16 | | -.. - **Progress**: Consensus was reached on the mailing list and |
17 | | -.. implementation work has begun. |
18 | | -.. |
19 | | -.. - **Completed**: The implementation has been merged into master. |
20 | | -.. |
21 | | -.. - **Superseded**: This MEP has been abandoned in favor of another |
22 | | -.. approach. |
23 | 12 |
|
24 | 13 | Branches and Pull requests |
25 | 14 | ========================== |
26 | 15 |
|
27 | | -Adding pre- & post-processing options to ``cbook.boxplot_stats``: https://github.com/phobson/matplotlib/tree/boxplot-stat-transforms |
28 | | -Exposing ``cbook.boxplot_stats`` through ``Axes.boxplot`` kwargs: None |
29 | | -Remove redundant statistical kwargs in ``Axes.boxplot``: None |
30 | | -Remove redundant style options in ``Axes.boxplot``: None |
31 | | -Remaining items that arise through discussion: None |
| 16 | +The following lists any open PRs or branches related to this MEP: |
| 17 | + |
| 18 | +#. Adding pre- & post-processing options to ``cbook.boxplot_stats``: https://github.com/phobson/matplotlib/tree/boxplot-stat-transforms |
| 19 | +#. Deprecated passings 2D numpy arrays as input: None |
| 20 | +#. Exposing ``cbook.boxplot_stats`` through ``Axes.boxplot`` kwargs: None |
| 21 | +#. Remove redundant statistical kwargs in ``Axes.boxplot``: None |
| 22 | +#. Remove redundant style options in ``Axes.boxplot``: None |
| 23 | +#. 6Remaining items that arise through discussion: None |
32 | 24 |
|
33 | 25 | Abstract |
34 | 26 | ======== |
@@ -121,7 +113,7 @@ data differently depending one these types of transforms. |
121 | 113 | ax.set_yscale('log') |
122 | 114 | data = np.random.lognormal(-1.75, 2.75, size=37) |
123 | 115 |
|
124 | | - stats = cbook.boxplot_stats(data, labels=['arimetic']) |
| 116 | + stats = cbook.boxplot_stats(data, labels=['arithmetic']) |
125 | 117 | logstats = cbook.boxplot_stats(np.log(data), labels=['log-transformed']) |
126 | 118 |
|
127 | 119 | for lsdict in logstats: |
|
0 commit comments