Autorank

- Fix pandas warnings (see 28, 32, thanks e10e3)
- Fix problems with scikit-learn example (see 29, thanks e10e3)
- Fix crash when latex tables are generated multiple times (see 30)
- Fix crash when a named or MultiIndex is used (see 16)
- Add missing output for Bayesian analysis (see 31, thanks e10e3)

- Extends the Bayesian analysis by exposing the random seed to enable reproducible results (see 21, thanks to Daniel300000 for the idea an PR)
- Extends results with sample created as part of the Bayesian analysis to, e.g., enable visualizations (see 20, thanks to Daniel300000 for the idea and PR)
- Fixes issue with wrongly ordered outputs when the textual description of significant results for two populations are created (see 19)
- Updated external dependencies and dropped support for Python 3.7

- Fixes 10, 14 regarding broken ordering in CD diagrams (thanks to gerald4, ZhongLIFR, vnmabus, AlexandreAbraham for their input and PavelKromer for the PR that led to the fix)
- Adds new feature for forcing to use parametric/non-parametric approach requested in 8

- Fixes 5: Replaced usage of deprecated median_absolute_deviation from scipi (thanks to d-diaz for fixing)
- Fixes 7: Fixes wrong ordering of p-vals of Shapiro-Wilk test in some corner cases (thanks to delsner for reporting)

This releases fixes a bug in the summary of bayesian analysis that was not correct, in case the results were all equal and/or inconclusive.

This release adds the ability to conduct bayesian analysis instead of frequentist analysis.

- Use bayesian analysis with autorank(data, approach='bayesian')
- Report generation for bayesian analysis
- New example for bayesian analysis