Move all plotting functions to plotly.

[mpetrosian]

Visualize transition functions and factor distributions using python's plotly library.

• [x] Plot transition equations.
  • [x] Improve interface.
• [x] Plot factor distributions.
• [ ] Add implementation of marginal effects.

[codecov-commenter]

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[hmgaudecker]

And while you are at it, I think the input_factors and output_factors arguments should go from combine_subplots.

Instead, tell the user to remove any subplots from model_dict that she does not want to see included. Then pass in the model_dict as well, looping over factors in the correct order. If some factor is not found in x / y, do not show that row.

There should be a possibility of including blank rows / columns, e.g. by leaving the key ("a", "b") in model_dict but setting the value to None instead of a plot.

(the current approach does not allow for gaps, remember that my application features irregular factors across periods, some factors are not around in some periods).