Divide samples into multiple groups following trendlines

[AgnesBaud]

Description

I. ScatterTrendlines

-> At least 2 different trendlines seem to be followed by the data point. How to divide the data points/samples into 2 (or more) groups?

1. Shuffle randomly the samples of the dataframe
2. Divide the samples into n groups
3. Compute trendline for each group
4. Reassign samples to the (line) group with the trendline closest to the point
5. Repeat step 2 and 3 until the composition of the groups doesn't change anymore

Optional:

• remove outliers (outliers='trim') from the computation of the trendlines
• random_state fixes the randomness of the shuffling for reproducibility
• run the algorithm nb_bootstraps time and keep the one with the lowest mean distance between the samples and their assigned trendline

Results:

• n=2

• n=3

II. Dictionaries operations

• flatten_dict: flatten an entangled dictionary
• super_pop: pop in an entangled dictionary = try to extract an element from an entangled dictionary by giving the path where it should be found but without being sure it exist.

Changelogs

• class ScatterTrendlines : input counts dataframe; give the two species to plot against each other to plot_one_graph and the number of trendlines to generate
• 2 new functions in dict_operations: flatten_dict and super_pop

Definition of Done

• [ ] New code is tested with unit tests
• [ ] Documentation has been updated
• [ ] Pull Request has been revised by a maintainer of the project

[codecov-commenter]

Codecov Report

Attention: 16 lines in your changes are missing coverage. Please review.

Comparison is base (c154173) 65.15% compared to head (ab58529) 66.79%.

Files	Patch %	Lines
moonstone/plot/graphs/trendlines.py	90.53%	16 Missing :warning:

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Additional details and impacted files

```diff @@ Coverage Diff @@ ## master #104 +/- ## ========================================== + Coverage 65.15% 66.79% +1.64% ========================================== Files 61 62 +1 Lines 2930 3123 +193 ========================================== + Hits 1909 2086 +177 - Misses 1021 1037 +16 ``` | [Flag](https://app.codecov.io/gh/motleystate/moonstone/pull/104/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=motleystate) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/motleystate/moonstone/pull/104/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=motleystate) | `66.79% <91.79%> (+1.64%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=motleystate#carryforward-flags-in-the-pull-request-comment) to find out more.

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