docs: def ci_plot(x, arr, conf=0.95, ax=None, line_kwargs=None, fill_kwargs=None):
      """
      Plots the mean and 95% ci for the given array on the given axes
  
      Parameters
      ----------
      x : 1-D array-like
          x values for the plot
  
      arr : 2-D array-like
          The array to calculate mean and std for
  
      conf : float [.5 - 1]
          Confidence interval to use
  
      ax : matplotlib.Axes
          The axes object on which to plot
  
      line_kwargs : dict
          Additional kwargs passed to Axes.plot
  
      fill_kwargs : dict
          Additiona kwargs passed to Axes.fill_between
      """
      if ax is None:
          fig = plt.figure()
          ax = fig.add_subplot(111)
  
      line_kwargs = line_kwargs or {}
      fill_kwargs = fill_kwargs or {}
  
      m, lo, hi = ci(arr, conf)
      ax.plot(x, m, **line_kwargs)
      ax.fill_between(x, lo, hi, **fill_kwargs)
      return ax