flask

defmodule Flask do
  @moduledoc """
  Functions to create and modify a dataframe, a structure with 2D table of information.
  """
  defmacro __using__(_opts) do
    quote do
      alias Flask.{Data, DataFrame, Series}
    end
  end

  # @doc """
  #   Selection
  # """
  # def at(%DataFrame{} = dataframe, row_label, col_label) do
  #   row = dataframe.index |> get_label_idx(row_label)
  #   col = dataframe.columns |> get_label_idx(col_label)

  #   dataframe.values |> Map.fetch!({row, col})
  # end

  # def iat(%DataFrame{} = dataframe, row, col) when is_integer(row) and is_integer(col) do
  #   dataframe.values |> Map.fetch!({row, col})
  # end

  # def iloc(%DataFrame{} = df, %Range{} = rows, %Range{} = cols) do
  #   with true <- valid_range?(df.rows, rows),
  #        true <- valid_range?(df.columns, cols) do
  #     index = df.index |> Enum.slice(normalize_range(rows))
  #     columns = df.columns |> Enum.slice(normalize_range(cols))

  #     df.values
  #     |> Map.take(for i <- rows, j <- cols, do: {i, j})
  #     |> DataFrame.new(index, columns)
  #   else
  #     false -> raise "Invalid ranges supplied for iloc function"
  #   end
  # end

  # def iloc(%DataFrame{} = df, row, col) when is_integer(row) and is_integer(col) do
  #   with true <- valid_range?(df.rows, row),
  #        true <- valid_range?(df.columns, col) do
  #     df.values
  #     |> Map.take([{row, col}])
  #     |> DataFrame.new([Enum.at(df.index, row)], [Enum.at(df.columns, col)])
  #   else
  #     false -> raise "Invalid indices supplied for iloc function"
  #   end
  # end

  @doc """
    Exploring
  """
  def head do
  end

  def tail do
  end

  def describe do
  end

  @doc """
    Manipulation
  """
  def merge do
  end

  def concat do
  end

  def append do
  end

  def transpose do
  end

  @doc """
    Function Application, Groupby
  """
  def groupby do
  end

  @doc """
    Computation
  """
  def mean do
  end

  def sum do
  end

  def avg do
  end

  def max do
  end

  def min do
  end

  def count do
  end
end