Thank you! That makes it much easier to answer.
So I think @josevalim’s answer was what you want (for now, see below):
df = DF.new([
%{start_day: 244, end_day: 248, fw: 15.0},
%{start_day: 247, end_day: 249, fw: 16.0}
])
df
|> DF.to_rows()
|> Enum.with_index()
|> Enum.flat_map(fn {row, index} ->
row["start_day"]..row["end_day"]
|> Enum.map(&Map.merge(row, %{"day" => &1, "index" => index}))
end)
|> DF.new()
|> DF.arrange(index) # You can order by any column
|> DF.print(limit: :infinity)
# +---------------------------------------------------------+
# | Explorer DataFrame: [rows: 8, columns: 5] |
# +-----------+-----------+---------+-----------+-----------+
# | day | end_day | fw | index | start_day |
# | <integer> | <integer> | <float> | <integer> | <integer> |
# +===========+===========+=========+===========+===========+
# | 244 | 248 | 15.0 | 0 | 244 |
# +-----------+-----------+---------+-----------+-----------+
# | 245 | 248 | 15.0 | 0 | 244 |
# +-----------+-----------+---------+-----------+-----------+
# | 246 | 248 | 15.0 | 0 | 244 |
# +-----------+-----------+---------+-----------+-----------+
# | 247 | 248 | 15.0 | 0 | 244 |
# +-----------+-----------+---------+-----------+-----------+
# | 248 | 248 | 15.0 | 0 | 244 |
# +-----------+-----------+---------+-----------+-----------+
# | 247 | 249 | 16.0 | 1 | 247 |
# +-----------+-----------+---------+-----------+-----------+
# | 248 | 249 | 16.0 | 1 | 247 |
# +-----------+-----------+---------+-----------+-----------+
# | 249 | 249 | 16.0 | 1 | 247 |
# +-----------+-----------+---------+-----------+-----------+
Also, I don’t want to speak for the core team, but explode does appear to be on the roadmap:
https://github.com/elixir-explorer/explorer/issues/296
So if/when that functionality is added, you can do a nearly one-to-one translation of the Pandas code.
