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An Elasticsearch client exposing DataFrame API

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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...

Feature Proposal
Feature

[{'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`

Feature Proposal

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.

Feature Proposal

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...