def createCDFComparison()

in lib/report.py [0:0]

• 28 lines of code
• 5 McCabe index (conditional complexity)

  def createCDFComparison(self, segment, metric, metric_type):
    t = get_template("cdf.html")

    control = self.data["branches"][0]
    values_control = self.data[control][segment][metric_type][metric]["pdf"]["values"]
    cdf_control = self.data[control][segment][metric_type][metric]["pdf"]["cdf"]

    maxValue = find_value_at_quantile(values_control, cdf_control)
    values_int = list(np.around(np.linspace(0, maxValue, 100), 2))

    datasets = []
    for branch in self.data["branches"]:
      values = self.data[branch][segment][metric_type][metric]["pdf"]["values"]
      density = self.data[branch][segment][metric_type][metric]["pdf"]["density"]
      cdf = self.data[branch][segment][metric_type][metric]["pdf"]["cdf"]

      # Smooth out pdf and cdf, and use common X values for each branch.
      density_int = cubic_spline_smooth(values, density, values_int)
      cdf_int = cubic_spline_smooth(values, cdf, values_int)

      dataset = {
          "branch": branch,
          "cdf": cdf_int,
          "density": density_int,
      }

      datasets.append(dataset)

    context = {
        "segment": segment,
        "metric": metric,
        "values": values_int,
        "datasets": datasets
    }
    self.doc(t.render(context))
    return