use pandas.io for storage and export

[e7dal]

use https://pandas.pydata.org/pandas-docs/stable/io.html for export

Format Type	Data Description	Reader	Writer
text	CSV	read_csv	to_csv
text	JSON	read_json	to_json
text	HTML	read_html	to_html
text	Local clipboard	read_clipboard	to_clipboard
binary	MS Excel	read_excel	to_excel
binary	HDF5 Format	read_hdf	to_hdf
binary	Feather Format	read_feather	to_feather
binary	Parquet Format	read_parquet	to_parquet
binary	Msgpack	read_msgpack	to_msgpack
binary	Stata	read_stata	to_stata
binary	SAS	read_sas
binary	Python Pickle Format	read_pickle	to_pickle
SQL	SQL	read_sql	to_sql
SQL	Google Big Query	read_gbq	to_gbq

[e7dal]

reading and writing jsonlines is also trivial:
https://stackoverflow.com/questions/20037430/pandas-reading-multiple-json-records-into-dataframe#22135309

https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_json.html
lines : boolean, default False

Read the file as a json object per line.

New in version 0.19.0.

add pandas and eventuall remove dataset and tablib