eland.DataFrame.nunique#
- DataFrame.nunique() Series #
Return cardinality of each field.
Note we can only do this for aggregatable Elasticsearch fields - (in general) numeric and keyword rather than text fields
This method will try and field aggregatable fields if possible if mapping has:
"customer_first_name" : { "type" : "text", "fields" : { "keyword" : { "type" : "keyword", "ignore_above" : 256 } } }
we will aggregate
customer_first_name
columns usingcustomer_first_name.keyword
.TODO - implement remainder of pandas arguments
Returns#
- pandas.Series
cardinality of each column
See Also#
Examples#
>>> columns = ['category', 'currency', 'customer_birth_date', 'customer_first_name', 'user'] >>> df = ed.DataFrame('http://localhost:9200', 'ecommerce', columns=columns) >>> df.nunique() category 6 currency 1 customer_birth_date 0 customer_first_name 46 user 46 dtype: int64