Every line of 'how to find mean in python' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.
52 def mean(X): 53 return sum(X) / len(X)
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)