Make SGI applicable to DataFrame and add Dropna

[raoulcollenteur]

Short Description

Fix issue #742 and add option to use DataFrames as input.

Checklist before PR can be merged:

• closes issue SGI reports wrong values if nan-values are present #742
• is documented
• Format code with Black formatting
• type hints for functions and methods
• tests added / passed

[codacy-production]

Coverage summary from Codacy

See diff coverage on Codacy

Coverage variation	Diff coverage
✅ +0.07% (target: +0.00%)	✅ 8.33%

Coverage variation details

	Coverable lines	Covered lines	Coverage
Common ancestor commit (20d03d0)	6282	4761	75.79%
Head commit (31febec)	6325 (+43)	4798 (+37)	75.86% (+0.07%)

Coverage variation is the difference between the coverage for the head and common ancestor commits of the pull request branch: <coverage of head commit> - <coverage of common ancestor commit>

Diff coverage details

	Coverable lines	Covered lines	Diff coverage
Pull request (#760)	12	1	8.33%

Diff coverage is the percentage of lines that are covered by tests out of the coverable lines that the pull request added or modified: <covered lines added or modified>/<coverable lines added or modified> * 100%

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