This is mostly a mechanical copying of other trait implementations.

• Add struct datatype
• Make ChunkedArray<StructType> an iterator
• Implement dyn SeriesTrait and required subtraits

I'm using black and isort for other projects (see e.g. https://github.com/hyperopt/hyperopt/pull/748/files) and find them quite useful to have more consistent codebase. I think you should drop python3.5 support though, as black is python3.6+. Is this something you would be open to consider?

Location of the documentation

The page doesn't exist yet. A new page titled something like "Importing Other Schema Formats" or something like that.

Note: You can check the latest versions of the docs on master here.

Documentation problem

The frictionless schema support that was added here https://github.com/pandera-dev/pander

• Display the index of series or DataFrame similar to Pandas
  Example:

>>> pd_flights.index
Index(['0', '1', '2', '3', '4', '5', '6', '7', '8', '9',
       ...
       '13049', '13050', '13051', '13052', '13053', '13054', '13055', '13056',
       '13057', '13058'],
      dtype='object', length=13059)

>>> pd_flights["AvgTicketPrice"].index
Index(['0', '1', '2', '3', '4', '5', '6

Code coverage should be added to the Travis config (perhaps the cabal file and/or the stack options need to be changed in order to account for hpc coverage generation); currently in Travis there is only a project key.
This tool uploads hpc coverage reports to codecov.io .

For the list representation this is trivial, not so much if the internals are a ConduitT or similar