4 ways to use 'python moving average numpy' - Python

4 examples of 'python moving average numpy' in Python

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mattiasflodin/reckless

59 def average(average_window, data):
60     window = []
61     newdata = []
62     for v in data:
63         window.append(v)
64         if len(window) == average_window:
65             newdata.append(sum(window)/average_window)
66             del window[0]
67     return newdata

harvitronix/rl-rc-car

9 def movingaverage(y, window_size):
10     """
11     Moving average function from:
12     http://stackoverflow.com/questions/11352047/finding-moving-average-from-data-points-in-python
13     """
14     window = np.ones(int(window_size))/float(window_size)
15     return np.convolve(y, window, 'same')

rushter/MLAlgorithms

13 def moving_average(a, n=25):
14     ret = np.cumsum(a, dtype=float)
15     ret[n:] = ret[n:] - ret[:-n]
16     return ret[n - 1:] / n

knjcode/pytorch-finetuner

37 @property
38 def average(self):
39     return self.avg

59	def average(average_window, data):
60	window = []
61	newdata = []
62	for v in data:
63	window.append(v)
64	if len(window) == average_window:
65	newdata.append(sum(window)/average_window)
66	del window[0]
67	return newdata

9	def movingaverage(y, window_size):
10	"""
11	Moving average function from:
12	http://stackoverflow.com/questions/11352047/finding-moving-average-from-data-points-in-python
13	"""
14	window = np.ones(int(window_size))/float(window_size)
15	return np.convolve(y, window, 'same')

13	def moving_average(a, n=25):
14	ret = np.cumsum(a, dtype=float)
15	ret[n:] = ret[n:] - ret[:-n]
16	return ret[n - 1:] / n

4 examples of 'python moving average numpy' in Python

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