code: def plot_mean_with_std(
      ax, time, ind1, plotcolor, ls="-", std_mult=1, label=""
  ):
      means = np.mean(ind1, axis=1)
      stds = np.std(ind1, axis=1)
      ax.plot(time, means, c=plotcolor, lw=3, label=label, ls=ls)
      ax.fill_between(
          time,
          means + std_mult * stds,
          means - std_mult * stds,
          alpha=0.15,
          color=plotcolor,
      )
      ax.plot(
          time, means + std_mult * stds, alpha=0.25, color=plotcolor
      )
      ax.plot(
          time, means - std_mult * stds, alpha=0.25, color=plotcolor
      )
  
imports: from dipy.data.fetcher import fetch_qtdMRI_test_retest_2subjects, read_qtdMRI_test_retest_2subjects
  from dipy.reconst import qtdmri, dti
  import matplotlib.pyplot
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: plot_mean_with_std(ax, time, ind1, plotcolor, ls, std_mult, label) without return types