821 redundant code of clean_lat_long

[yixuy]

Description

Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.

How Has This Been Tested?

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Part of clean_lat_long code is redundant

Snapshots:

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Checklist:

• [X] My code follows the style guidelines of this project
• [X] I have already squashed the commits and make the commit message conform to the project standard.
• [ ] I have already marked the commit with "BREAKING CHANGE" or "Fixes #" if needed.
• [X] I have performed a self-review of my own code
• [X] I have commented my code, particularly in hard-to-understand areas
• [ ] I have made corresponding changes to the documentation
• [X] My changes generate no new warnings
• [ ] I have added tests that prove my fix is effective or that my feature works
• [ ] New and existing unit tests pass locally with my changes
• [ ] Any dependent changes have been merged and published in downstream modules

[codecov[bot]]

Codecov Report

Merging #866 (f527697) into develop (482ca40) will decrease coverage by 0.40%. The diff coverage is 37.69%.

:exclamation: Current head f527697 differs from pull request most recent head 002e949. Consider uploading reports for the commit 002e949 to get more accurate results

@@             Coverage Diff             @@
##           develop     #866      +/-   ##
===========================================
- Coverage    55.32%   54.91%   -0.41%     
===========================================
  Files          293      293              
  Lines        18993    19480     +487     
===========================================
+ Hits         10507    10698     +191     
- Misses        8486     8782     +296     

Impacted Files	Coverage Δ
dataprep/clean/__init__.py	100.00% <ø> (ø)
dataprep/clean/clean_ad_nrt.py	25.58% <ø> (ø)
dataprep/clean/clean_al_nipt.py	25.58% <ø> (ø)
dataprep/clean/clean_ar_cbu.py	20.00% <ø> (ø)
dataprep/clean/clean_ar_cuit.py	23.91% <ø> (ø)
dataprep/clean/clean_ar_dni.py	23.91% <ø> (ø)
dataprep/clean/clean_at_uid.py	25.58% <ø> (ø)
dataprep/clean/clean_at_vnr.py	25.58% <ø> (ø)
dataprep/clean/clean_au_acn.py	23.40% <ø> (ø)
dataprep/clean/clean_be_iban.py	23.40% <ø> (ø)
... and 155 more

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