code: def resolution(x, zero=True):
      
      x = np.asarray(x)
  
      # (unsigned) integers or an effective range of zero
      _x = x[~np.isnan(x)]
      _x = (x.min(), x.max())
      if x.dtype.kind in ('i', 'u') or zero_range(_x):
          return 1
  
      x = np.unique(x)
      if zero:
          x = np.unique(np.hstack([0, x]))
  
      return np.min(np.diff(np.sort(x)))
docs: Compute the resolution of a data vector
  
      Resolution is smallest non-zero distance between adjacent values
  
      Parameters
      ----------
      x    : 1D array-like
      zero : Boolean
          Whether to include zero values in the computation
  
      Result
      ------
      res : resolution of x
          If x is an integer array, then the resolution is 1