pandasticsearch
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An Elasticsearch client exposing DataFrame API
When I run first code ``` # Create a DataFrame object from pandasticsearch import DataFrame df = DataFrame.from_es(url='http://localhost:9200', index='people', username='username', password='username') # Print the schema(mapping) of the index df.print_schema() ```...
Really great project! One thing I was curious about is supported nested field names. For example: foo.bar foo.baz foo.zap Our schema in Elasticsearch supports one-level nesting, and I was having...
[{'type': 'illegal_argument_exception', 'reason': 'Fielddata is disabled on text fields by default. Set fielddata=true on [VEHICLE_TYPE_NAME] in order to load fielddata in memory by uninverting the inverted index. Note that this...
It would be very nice to have the pandas equivalent function `value_counts`
Any plans to be able to index data using this interface? I have done some preliminary work on this, but it would introduce an actual dependency to pandas.
Added functionality to allow for sub buckets that don't have key or key_as_string fields but are just a dict object that has a doc_count or value in it. Example Agg...