Method: Charty::Backends::Pyplot#univariate_histogram

Defined in:

lib/charty/backends/pyplot.rb

#univariate_histogram(hist, name, variable_name, stat, alpha, color, key_color, color_mapper, multiple, element, fill, shrink) ⇒ Object

# File 'lib/charty/backends/pyplot.rb', line 579

def univariate_histogram(hist, name, variable_name, stat,
                         alpha, color, key_color, color_mapper,
                         multiple, element, fill, shrink)
  mid_points = hist.edges.each_cons(2).map {|a, b| a + (b - a) / 2 }
  orient = variable_name == :x ? :v : :h
  width = shrink * (hist.edges[1] - hist.edges[0])

  kw = {align: :edge}

  color = if color.nil?
            key_color.to_rgb
          else
            color_mapper[color].to_rgb
          end

  alpha = 1r unless fill

  if fill
    kw[:facecolor] = color.to_rgba(alpha: alpha).to_hex_string
    if multiple == :stack || multiple == :fill || element == :bars
      kw[:edgecolor] = @default_edgecolor.to_hex_string
    else
      kw[:edgecolor] = color.to_hex_string
    end
  elsif element == :bars
    kw.delete(:facecolor)
    kw[:edgecolor] = color.to_rgba(alpha: alpha).to_hex_string
  else
    kw[:color] = color.to_rgba(alpha: alpha).to_hex_string
  end

  kw[:label] = name unless name.nil?

  ax = @pyplot.gca
  if orient == :v
    ax.bar(mid_points, hist.weights, width, **kw)
  else
    ax.barh(mid_points, hist.weights, width, **kw)
  end
end