code: def _compute_min_std_IQR(data):
      """Compute minimum of std and IQR for each variable."""
      s1 = np.std(data, axis=0)
      q75 = mquantiles(data, 0.75, axis=0).data[0]
      q25 = mquantiles(data, 0.25, axis=0).data[0]
      s2 = (q75 - q25) / 1.349  # IQR
      dispersion = np.minimum(s1, s2)
      return dispersion
  
imports: import copy
  import numpy
  from scipy import optimize
  from scipy.stats.mstats import mquantiles
  from .None import kernels
label_desc: Use image node_id 1 for calling a global function with example usage: _compute_min_std_IQR(data) and returns: dispersion