PhiLFitters/kafe2: v2.7.0

kafe2  is an open-source Python package for the likelihood-based estimation of parameters from measured data.
   Selling points are

1. that it offers state-of-the-art statistical methods (e.g. confidence intervals/regions based on the profile likelihood method),
2. that it only uses open-source software which allows users to understand and reproduce results with relative ease,
3. and that it offers an easy-to-use and performance-optimized pipeline that takes numerical data and produces for example parameter confidence intervals or publication-quality plots.

Important changes compared to v2.6.0:

• Added the ability to create plots from data containers.
• Added wrappers for xy fits and xy fit/data plotting.
• Improved documentation
• various fixes and improvements