Morph an input dataset of 2D points into select shapes, while preserving the summary statistics to a given number of decimal points through simulated annealing. It is intended to be used as a teaching tool to illustrate the importance of data visualization.
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Additional details and impacted files
[](https://codecov.io/gh/stefmolin/data-morph/pull/107?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Stefanie+Molin) ```diff @@ Coverage Diff @@ ## main #107 +/- ## ======================================= Coverage 95.42% 95.42% ======================================= Files 42 42 Lines 1531 1531 Branches 299 300 +1 ======================================= Hits 1461 1461 Misses 68 68 Partials 2 2 ``` | [Impacted Files](https://codecov.io/gh/stefmolin/data-morph/pull/107?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Stefanie+Molin) | Coverage Δ | | |---|---|---| | [src/data\_morph/plotting/static.py](https://codecov.io/gh/stefmolin/data-morph/pull/107?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Stefanie+Molin#diff-c3JjL2RhdGFfbW9ycGgvcGxvdHRpbmcvc3RhdGljLnB5) | `100.00% <100.00%> (ø)` | |