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52 def mean(X): 53 return sum(X) / len(X)

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36 def mean(x): return sum(x)/len(x)

5 def mean(x): 6 from numpy import sum 7 return sum(x)/len(x)

557 def safe_mean(arr): 558 """ 559 Compute the mean of an array if there is at least one element. 560 For empty array, return nan. It is used for logging only. 561 562 :param arr: (np.ndarray) 563 :return: (float) 564 """ 565 return np.nan if len(arr) == 0 else np.mean(arr)

159 def mean_list(x, y): 160 res = [] 161 for i, j in zip(x, y): 162 res.append(round(mean(i, j), 3)) 163 return res

10 def mean(array): 11 if len(array)==0: 12 return 0. 13 else: 14 return numpy.mean(array)

358 def getMean(self, values): 359 return float(sum(values))/len(values)

26 def mean(l): 27 return sum(l)/len(l)

35 def mean(l): 36 """Returns the arithmetic mean of list l, as a float""" 37 return sum(l) / len(l)

57 def mean(l): 58 return 1.0 * sum(l) / len(l)