James Lamb
James Lamb
Currently, there are some examples in `README.md` with Elasticsearch queries and corresponding `uptasticsearch` code. That code is effectively pseudocode right now, as it references a fictional Elasticsearch cluster. I think...
The Python package uses Sphinx docstrings and we declare various sphinx packages in `setup.py`, but none of the actual infra (like a `conf.py`) to run the docs is set up....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....