Dear all,

I’m trying to use the new Library Explorer DataFrame as we have for Pandas (python) loading rows and columns arrays.

I have an output parsing HTML table and creating an array of columns and rows.

 def transform_request(body) do
    columns =
      body
      |> Floki.parse_document!()
      |> Floki.find("td.dxgvHeader_DevEx")
      |> Floki.find("tr")
      |> Enum.map(fn {"tr", [],
                      [
                        {"td", [{"style", "font-size:10pt;font-weight:normal;"}], [topic]},
                        {"td", [{"style", "width:1px;text-align:right;"}], [_topic_span]}
                      ]} ->
                        String.downcase(topic)
      end)

    rows =
      body
      |> Floki.parse_document!()
      |> Floki.find("tr.dxgvDataRow_DevEx")
      |> Floki.find("td")
      |> Enum.map(&parse_row/1)

    **DF.new(rows, columns)**

  end

  defp parse_row(
         {"td", [{"class", "dxgv"}, {"align", "right"}, {"style", "font-family:Arial;"}], [topic]}
       ) do
    #%{data: String.trim(topic)}
    String.trim(topic)
  end

  defp parse_row(_), do: ""

How can I load this Explorer DataFrame using columns and rows as an input? By the way, same code in pandas works very well e.g. pd.DataFrame(rows[1:], columns=rows[0])