平均日期排列計算

我希望得到以下日期的平均值。我想過將所有數據轉換爲秒，然後對它們進行平均。但是，可能有更好的方法來做到這一點。平均日期排列計算

date = ['2016-02-23 09:36:26', '2016-02-24 10:00:32', '2016-02-24 11:28:22', '2016-02-24 11:27:20', '2016-02-24 11:24:15', '2016-02-24 11:20:25', '2016-02-24 11:17:43', '2016-02-24 11:12:03', '2016-02-24 11:09:11', '2016-02-24 11:08:44', '2016-02-24 11:05:28', '2016-02-24 11:03:23', '2016-02-24 10:58:08', '2016-02-24 10:53:59', '2016-02-24 10:49:34', '2016-02-24 10:43:33', '2016-02-24 10:35:27', '2016-02-24 10:31:50', '2016-02-24 10:31:17', '2016-02-24 10:30:05', '2016-02-24 10:29:21']

討厭的溶液：

import datetime 
import time 
import numpy as np 

date = ['2016-02-23 09:36:26', '2016-02-24 10:00:32', '2016-02-24 11:28:22', '2016-02-24 11:27:20', '2016-02-24 11:24:15', '2016-02-24 11:20:25', '2016-02-24 11:17:43', '2016-02-24 11:12:03', '2016-02-24 11:09:11', '2016-02-24 11:08:44', '2016-02-24 11:05:28', '2016-02-24 11:03:23', '2016-02-24 10:58:08', '2016-02-24 10:53:59', '2016-02-24 10:49:34', '2016-02-24 10:43:33', '2016-02-24 10:35:27', '2016-02-24 10:31:50', '2016-02-24 10:31:17', '2016-02-24 10:30:05', '2016-02-24 10:29:21'] 
sec = [time.mktime(datetime.datetime.strptime(d, "%Y-%m-%d %H:%M:%S").timetuple()) for d in date] 
mean = datetime.datetime.fromtimestamp(np.mean(sec)) 
print(mean)

來源

2016-02-24 Philipp Braun

我會做完全按照自己的建議。 – ppaulojr

我同意@ppaulojr。將它們轉換爲單位並對其進行平均。 – Matt

看看這個問題http://stackoverflow.com/questions/19681703/average-time-for-datetime-list – ppaulojr

在NumPy的所有datetime64[s] s的內部由8字節整數表示。整數代表自Epoch以來的秒數。

所以，你可以在date列表轉換爲datetime64[s] D型的NumPy的陣列，認爲這是D型i8（8字節整數），取均值，然後轉換INT回一個datetime64[s]。

import numpy as np 

date = ['2016-02-23 09:36:26', '2016-02-24 10:00:32', '2016-02-24 11:28:22', '2016-02-24 11:27:20', '2016-02-24 11:24:15', '2016-02-24 11:20:25', '2016-02-24 11:17:43', '2016-02-24 11:12:03', '2016-02-24 11:09:11', '2016-02-24 11:08:44', '2016-02-24 11:05:28', '2016-02-24 11:03:23', '2016-02-24 10:58:08', '2016-02-24 10:53:59', '2016-02-24 10:49:34', '2016-02-24 10:43:33', '2016-02-24 10:35:27', '2016-02-24 10:31:50', '2016-02-24 10:31:17', '2016-02-24 10:30:05', '2016-02-24 10:29:21'] 

mean = (np.array(date, dtype='datetime64[s]') 
     .view('i8') 
     .mean() 
     .astype('datetime64[s]')) 

print(mean)

打印

2016-02-24T09:43:40-0500

來源

2016-02-24 11:02:44 unutbu

平均日期排列計算

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