Specify Binning Function

Mix.install([
  {:plotly_ex, "~> 0.3"},
  {:kino, "~> 0.18"}
])

Section

histfunc changes what is computed per bin (default "count"):

• "count" — number of data points in the bin
• "sum" — sum of all y: values for points in the bin (requires x: for bins + y: for values)
• "avg" — average of y: values per bin
• "min" / "max" — min or max of y: values per bin

nbinsx overrides the automatic bin count.

alias Plotly.{Figure, Histogram}

:rand.seed(:exsss, {1, 2, 3})

# x = categories, y = values to aggregate
x = for _ <- 1..200, do: :rand.uniform() * 10
y = for _ <- 1..200, do: :rand.uniform() * 100

for func <- ["count", "sum", "avg", "min", "max"] do
  Figure.new()
  |> Figure.add_trace(
    Histogram.new(
      x: x,
      y: (if func == "count", do: nil, else: y),
      histfunc: func,
      nbinsx: 10
    )
  )
  |> Figure.update_layout(title: "histfunc: \"#{func}\"", xaxis: %{title: "x"}, yaxis: %{title: func})
  |> Plotly.show()
end
|> Kino.Layout.grid(columns: 3)