mistercrunch opened a new pull request #4771: [druid] fix 'Unorderable types' when col has nuls URL: https://github.com/apache/incubator-superset/pull/4771 Error "unorderable types: str() < int()" occurs when grouping by a numerical Druid colummn that contains null values. * druid/pydruid returns strings in the datafram with NAs for nulls * Superset has custom logic around get_fillna_for_col that fills in the NULLs based on declared column type (FLOAT here), so now we have a mixed bag of type in the series * pandas chokes on pivot_table or groupby operations as it cannot sorts mixed types The approach here is to stringify and fillna('<NULL>') to get a consistent series. Related: https://github.com/apache/incubator-superset/issues/3029
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