Experimental and incomplete Pandas dataframe and Apache Arrow support #483
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Very much work-in-progress. The new functions work but will probably see a lot of changes in future commits. Includes a very experimental Arrow interface and a function to directly query paramter values and return them as Pandas dataframes. Re #353
Added functions to get/add/update mapped items directly. These functions work on a "higher" level than fetch_as_dataframe() which works with database queries and is read-only. Entity class name is also now included in the dataframe so we can identify the entity uniquely which is not possible with byname only. Re #353
Entity classes, parameter names and alternatives are now categories, entity element names strings. Re #353
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This PR introduces two new modules,
arrow_valueanddataframes. The most interesting function inarrow_valueisfrom_database()which works just like the function with the same name inparameter_valuebut returnspyarrow.RecordBatchobjects instead ofMaps or otherIndexedValues. Currently it supports only limited set of arrays, maps and time series. There is noto_database()equivalent yet. Thedataframesmodule, on the other hand, contains functions that return dataframes from database mapping's parameter value items or queries. There is also a function to add/update a value from dataframe. As witharrow_value, the functionality is limited and not all value types are supported.Implements #353
Checklist before merging