methods.py 文件源码

def binned_average(x, bin_size = 10, function = np.nanmean):
  """Binned average of a signal"""
  n = len(x);
  r = n % bin_size;
  if r != 0:
    xp = np.pad(x, (0, bin_size - r), mode = 'constant', constant_values = np.nan);
  else:
    xp = x;
  #print xp.shape
  s = len(xp) / bin_size;
  xp.shape = (s,bin_size);
  return function(xp, axis = 1);










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### Aligning Data
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