Improvement of memory usage

[N720720]

Description

I was able to reduce the memory allocation by one dimension. This is the dimension of the frames. The memory allocation is now completely independent of the length of the trajectory. This was made possible by the removal of the formation of nans in the algorithm and thereby the reduction of the dimension is already done in the loop. np.nanmean is thus no longer necessary and numpy functions can be used that are supported by numba.

Related Issue

#289

Type of Change

• 📚 Examples / docs / tutorials / dependencies update
• 🔧 Bug fix (non-breaking change which fixes an issue)
• 🥂 Improvement (non-breaking change which improves an existing feature)
• 🚀 New feature (non-breaking change which adds functionality)
• 💥 Breaking change (fix or feature that would cause existing functionality to change)
• 🔐 Security fix

Checklist

• I've read the CODE_OF_CONDUCT.md document.
• I've read the CONTRIBUTING.md guide.
• I've updated the code style using make codestyle.
• I've written tests for all new methods and classes that I created.
• I've written the docstring in Google format for all the methods and classes that I used.