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Implement [DataFrame, Series].mode aggregation via top terms
See original GitHub issueSee the TODO comment in operations.py:
Issue Analytics
- State:
- Created 3 years ago
- Comments:8 (8 by maintainers)
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Seems good, some thoughts:
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-terms-aggregation.html
Use size=1 parameter for the agg (different than size parameter for search)
For dropna=False you can use the missing parameter to set a sentinel value (something wild like
@&@&NA&@&@) then when we receive that value transform to NaNdropna=True is already handled
Quick Update: I am progressing on this. 😃