DatetimeIndexから時刻のリスト

私のオブジェクトは、すでに1日全体の時間のリストにパッケージ化されています（秒単位）。DatetimeIndexから時刻のリスト

pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min')

結果：

DatetimeIndex(['2016-07-08 00:00:00', '2016-07-08 00:05:00', 
      '2016-07-08 00:10:00', '2016-07-08 00:15:00', 
      '2016-07-08 00:20:00', '2016-07-08 00:25:00', 
      '2016-07-08 00:30:00', '2016-07-08 00:35:00', 
      '2016-07-08 00:40:00', '2016-07-08 00:45:00', 
      ... 
      '2016-07-08 23:10:00', '2016-07-08 23:15:00', 
      '2016-07-08 23:20:00', '2016-07-08 23:25:00', 
      '2016-07-08 23:30:00', '2016-07-08 23:35:00', 
      '2016-07-08 23:40:00', '2016-07-08 23:45:00', 
      '2016-07-08 23:50:00', '2016-07-08 23:55:00'], 
      dtype='datetime64[ns]', length=288, freq='5T')

そして、これはすべての時間を持っているコードです（でこれは5分で「2016年7月8日」の一日をパッケージ化するために私のコードです第二）5分ごとに含ま：

for time in pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min').tolist():  
    time_by_5_min = datetime.datetime.strftime(time.to_datetime(), "%Y-%m-%d %H:%M:%S") 
    print pd.date_range(time_by_5_min, freq='S', periods=60)

結果：

DatetimeIndex(['2016-07-08 00:00:00', '2016-07-08 00:00:01', 
      '2016-07-08 00:00:02', '2016-07-08 00:00:03', 
      '2016-07-08 00:00:04', '2016-07-08 00:00:05', 
      '2016-07-08 00:00:06', '2016-07-08 00:00:07', 
      '2016-07-08 00:00:08', '2016-07-08 00:00:09', 
      '2016-07-08 00:00:10', '2016-07-08 00:00:11', 
      '2016-07-08 00:00:12', '2016-07-08 00:00:13', 
      '2016-07-08 00:00:14', '2016-07-08 00:00:15', 
      '2016-07-08 00:00:16', '2016-07-08 00:00:17', 
      '2016-07-08 00:00:18', '2016-07-08 00:00:19', 
      '2016-07-08 00:00:20', '2016-07-08 00:00:21', 
      '2016-07-08 00:00:22', '2016-07-08 00:00:23', 
      '2016-07-08 00:00:24', '2016-07-08 00:00:25', 
      '2016-07-08 00:00:26', '2016-07-08 00:00:27', 
      '2016-07-08 00:00:28', '2016-07-08 00:00:29', 
      '2016-07-08 00:00:30', '2016-07-08 00:00:31', 
      '2016-07-08 00:00:32', '2016-07-08 00:00:33', 
      '2016-07-08 00:00:34', '2016-07-08 00:00:35', 
      '2016-07-08 00:00:36', '2016-07-08 00:00:37', 
      '2016-07-08 00:00:38', '2016-07-08 00:00:39', 
      '2016-07-08 00:00:40', '2016-07-08 00:00:41', 
      '2016-07-08 00:00:42', '2016-07-08 00:00:43', 
      '2016-07-08 00:00:44', '2016-07-08 00:00:45', 
      '2016-07-08 00:00:46', '2016-07-08 00:00:47', 
      '2016-07-08 00:00:48', '2016-07-08 00:00:49', 
      '2016-07-08 00:00:50', '2016-07-08 00:00:51', 
      '2016-07-08 00:00:52', '2016-07-08 00:00:53', 
      '2016-07-08 00:00:54', '2016-07-08 00:00:55', 
      '2016-07-08 00:00:56', '2016-07-08 00:00:57', 
      '2016-07-08 00:00:58', '2016-07-08 00:00:59'], 
      dtype='datetime64[ns]', freq='S') 
DatetimeIndex(['2016-07-08 00:05:00', '2016-07-08 00:05:01', 
      '2016-07-08 00:05:02', '2016-07-08 00:05:03', 
      '2016-07-08 00:05:04', '2016-07-08 00:05:05', 
      '2016-07-08 00:05:06', '2016-07-08 00:05:07', 
      '2016-07-08 00:05:08', '2016-07-08 00:05:09', 
      '2016-07-08 00:05:10', '2016-07-08 00:05:11', 
      '2016-07-08 00:05:12', '2016-07-08 00:05:13', 
      '2016-07-08 00:05:14', '2016-07-08 00:05:15', 
      '2016-07-08 00:05:16', '2016-07-08 00:05:17', 
      '2016-07-08 00:05:18', '2016-07-08 00:05:19', 
      '2016-07-08 00:05:20', '2016-07-08 00:05:21', 
      '2016-07-08 00:05:22', '2016-07-08 00:05:23', 
      '2016-07-08 00:05:24', '2016-07-08 00:05:25', 
      '2016-07-08 00:05:26', '2016-07-08 00:05:27', 
      '2016-07-08 00:05:28', '2016-07-08 00:05:29', 
      '2016-07-08 00:05:30', '2016-07-08 00:05:31', 
      '2016-07-08 00:05:32', '2016-07-08 00:05:33', 
      '2016-07-08 00:05:34', '2016-07-08 00:05:35', 
      '2016-07-08 00:05:36', '2016-07-08 00:05:37', 
      '2016-07-08 00:05:38', '2016-07-08 00:05:39', 
      '2016-07-08 00:05:40', '2016-07-08 00:05:41', 
      '2016-07-08 00:05:42', '2016-07-08 00:05:43', 
      '2016-07-08 00:05:44', '2016-07-08 00:05:45', 
      '2016-07-08 00:05:46', '2016-07-08 00:05:47', 
      '2016-07-08 00:05:48', '2016-07-08 00:05:49', 
      '2016-07-08 00:05:50', '2016-07-08 00:05:51', 
      '2016-07-08 00:05:52', '2016-07-08 00:05:53', 
      '2016-07-08 00:05:54', '2016-07-08 00:05:55', 
      '2016-07-08 00:05:56', '2016-07-08 00:05:57', 
      '2016-07-08 00:05:58', '2016-07-08 00:05:59'], 
      dtype='datetime64[ns]', freq='S') 
etc

これは私にとって完璧です！私はpandas.tseries.index.DatetimeIndex .. .tolist（）メソッドは、この与えていない、リストを持っている今欲しい：私が持っていると思います

[Timestamp('2016-07-08 00:00:00', offset='S'), Timestamp('2016-07-08 00:00:01', offset='S'), Timestamp('2016-07-08 00:00:02', offset='S'), Timestamp('2016-07-08 00:00:03', offset='S'), Timestamp('2016-07-08 00:00:04', offset='S'), Timestamp('2016-07-08 00:00:05', offset='S'), Timestamp('2016-07-08 00:00:06', offset='S'), etc]

：

for time in pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min').tolist():  
    time_by_5_min = datetime.datetime.strftime(time.to_datetime(), "%Y-%m-%d %H:%M:%S") 
    print (pd.date_range(time_by_5_min, freq='S', periods=60)).tolist()

結果を次のようなもの：

  [['2016-07-08 00:00:00', '2016-07-08 00:00:01', 
      '2016-07-08 00:00:02', '2016-07-08 00:00:03', 
      '2016-07-08 00:00:04', '2016-07-08 00:00:05', 
      '2016-07-08 00:00:06', '2016-07-08 00:00:07', 
      '2016-07-08 00:00:08', '2016-07-08 00:00:09', 
      '2016-07-08 00:00:10', '2016-07-08 00:00:11', 
      '2016-07-08 00:00:12', '2016-07-08 00:00:13', 
      '2016-07-08 00:00:14', '2016-07-08 00:00:15', 
      '2016-07-08 00:00:16', '2016-07-08 00:00:17', 
      '2016-07-08 00:00:18', '2016-07-08 00:00:19', 
      '2016-07-08 00:00:20', '2016-07-08 00:00:21', 
      '2016-07-08 00:00:22', '2016-07-08 00:00:23', 
      '2016-07-08 00:00:24', '2016-07-08 00:00:25', 
      '2016-07-08 00:00:26', '2016-07-08 00:00:27', 
      '2016-07-08 00:00:28', '2016-07-08 00:00:29', 
      '2016-07-08 00:00:30', '2016-07-08 00:00:31', 
      '2016-07-08 00:00:32', '2016-07-08 00:00:33', 
      '2016-07-08 00:00:34', '2016-07-08 00:00:35', 
      '2016-07-08 00:00:36', '2016-07-08 00:00:37', 
      '2016-07-08 00:00:38', '2016-07-08 00:00:39', 
      '2016-07-08 00:00:40', '2016-07-08 00:00:41', 
      '2016-07-08 00:00:42', '2016-07-08 00:00:43', 
      '2016-07-08 00:00:44', '2016-07-08 00:00:45', 
      '2016-07-08 00:00:46', '2016-07-08 00:00:47', 
      '2016-07-08 00:00:48', '2016-07-08 00:00:49', 
      '2016-07-08 00:00:50', '2016-07-08 00:00:51', 
      '2016-07-08 00:00:52', '2016-07-08 00:00:53', 
      '2016-07-08 00:00:54', '2016-07-08 00:00:55', 
      '2016-07-08 00:00:56', '2016-07-08 00:00:57', 
      '2016-07-08 00:00:58', '2016-07-08 00:00:59'], 

      ['2016-07-08 00:05:00', '2016-07-08 00:05:01', 
      '2016-07-08 00:05:02', '2016-07-08 00:05:03', 
      '2016-07-08 00:05:04', '2016-07-08 00:05:05', 
      '2016-07-08 00:05:06', '2016-07-08 00:05:07', 
      '2016-07-08 00:05:08', '2016-07-08 00:05:09', 
      '2016-07-08 00:05:10', '2016-07-08 00:05:11', 
      '2016-07-08 00:05:12', '2016-07-08 00:05:13', 
      '2016-07-08 00:05:14', '2016-07-08 00:05:15', 
      '2016-07-08 00:05:16', '2016-07-08 00:05:17', 
      '2016-07-08 00:05:18', '2016-07-08 00:05:19', 
      '2016-07-08 00:05:20', '2016-07-08 00:05:21', 
      '2016-07-08 00:05:22', '2016-07-08 00:05:23', 
      '2016-07-08 00:05:24', '2016-07-08 00:05:25', 
      '2016-07-08 00:05:26', '2016-07-08 00:05:27', 
      '2016-07-08 00:05:28', '2016-07-08 00:05:29', 
      '2016-07-08 00:05:30', '2016-07-08 00:05:31', 
      '2016-07-08 00:05:32', '2016-07-08 00:05:33', 
      '2016-07-08 00:05:34', '2016-07-08 00:05:35', 
      '2016-07-08 00:05:36', '2016-07-08 00:05:37', 
      '2016-07-08 00:05:38', '2016-07-08 00:05:39', 
      '2016-07-08 00:05:40', '2016-07-08 00:05:41', 
      '2016-07-08 00:05:42', '2016-07-08 00:05:43', 
      '2016-07-08 00:05:44', '2016-07-08 00:05:45', 
      '2016-07-08 00:05:46', '2016-07-08 00:05:47', 
      '2016-07-08 00:05:48', '2016-07-08 00:05:49', 
      '2016-07-08 00:05:50', '2016-07-08 00:05:51', 
      '2016-07-08 00:05:52', '2016-07-08 00:05:53', 
      '2016-07-08 00:05:54', '2016-07-08 00:05:55', 
      '2016-07-08 00:05:56', '2016-07-08 00:05:57', 
      '2016-07-08 00:05:58', '2016-07-08 00:05:59'], etc]

アイデアはありますか？

出典

2016-09-20 DataAddicted

私はあなたがDatetimeIndex.strftimeを使用することができると思う：

必要ならば、私は

for time in pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min'):  
    print (pd.date_range(time, freq='S', periods=60).strftime("%Y-%m-%d %H:%M:%S").tolist())

['2016-07-08 00:00:00', '2016-07-08 00:00:01', '2016-07-08 00:00:02', '2016-07-08 00:00:03', '2016-07-08 00:00:04', '2016-07-08 00:00:05', '2016-07-08 00:00:06', '2016-07-08 00:00:07', '2016-07-08 00:00:08', '2016-07-08 00:00:09', '2016-07-08 00:00:10', '2016-07-08 00:00:11', '2016-07-08 00:00:12', '2016-07-08 00:00:13', '2016-07-08 00:00:14', '2016-07-08 00:00:15', '2016-07-08 00:00:16', '2016-07-08 00:00:17', '2016-07-08 00:00:18', '2016-07-08 00:00:19', '2016-07-08 00:00:20', '2016-07-08 00:00:21', '2016-07-08 00:00:22', '2016-07-08 00:00:23', '2016-07-08 00:00:24', '2016-07-08 00:00:25', '2016-07-08 00:00:26', '2016-07-08 00:00:27', '2016-07-08 00:00:28', '2016-07-08 00:00:29', '2016-07-08 00:00:30', '2016-07-08 00:00:31', '2016-07-08 00:00:32', '2016-07-08 00:00:33', '2016-07-08 00:00:34', '2016-07-08 00:00:35', '2016-07-08 00:00:36', '2016-07-08 00:00:37', '2016-07-08 00:00:38', '2016-07-08 00:00:39', '2016-07-08 00:00:40', '2016-07-08 00:00:41', '2016-07-08 00:00:42', '2016-07-08 00:00:43', '2016-07-08 00:00:44', '2016-07-08 00:00:45', '2016-07-08 00:00:46', '2016-07-08 00:00:47', '2016-07-08 00:00:48', '2016-07-08 00:00:49', '2016-07-08 00:00:50', '2016-07-08 00:00:51', '2016-07-08 00:00:52', '2016-07-08 00:00:53', '2016-07-08 00:00:54', '2016-07-08 00:00:55', '2016-07-08 00:00:56', '2016-07-08 00:00:57', '2016-07-08 00:00:58', '2016-07-08 00:00:59'] 
['2016-07-08 00:05:00', '2016-07-08 00:05:01', '2016-07-08 00:05:02', '2016-07-08 00:05:03', '2016-07-08 00:05:04', '2016-07-08 00:05:05', '2016-07-08 00:05:06', '2016-07-08 00:05:07', '2016-07-08 00:05:08', '2016-07-08 00:05:09', '2016-07-08 00:05:10', '2016-07-08 00:05:11', '2016-07-08 00:05:12', '2016-07-08 00:05:13', '2016-07-08 00:05:14', '2016-07-08 00:05:15', '2016-07-08 00:05:16', '2016-07-08 00:05:17', '2016-07-08 00:05:18', '2016-07-08 00:05:19', '2016-07-08 00:05:20', '2016-07-08 00:05:21', '2016-07-08 00:05:22', '2016-07-08 00:05:23', '2016-07-08 00:05:24', '2016-07-08 00:05:25', '2016-07-08 00:05:26', '2016-07-08 00:05:27', '2016-07-08 00:05:28', '2016-07-08 00:05:29', '2016-07-08 00:05:30', '2016-07-08 00:05:31', '2016-07-08 00:05:32', '2016-07-08 00:05:33', '2016-07-08 00:05:34', '2016-07-08 00:05:35', '2016-07-08 00:05:36', '2016-07-08 00:05:37', '2016-07-08 00:05:38', '2016-07-08 00:05:39', '2016-07-08 00:05:40', '2016-07-08 00:05:41', '2016-07-08 00:05:42', '2016-07-08 00:05:43', '2016-07-08 00:05:44', '2016-07-08 00:05:45', '2016-07-08 00:05:46', '2016-07-08 00:05:47', '2016-07-08 00:05:48', '2016-07-08 00:05:49', '2016-07-08 00:05:50', '2016-07-08 00:05:51', '2016-07-08 00:05:52', '2016-07-08 00:05:53', '2016-07-08 00:05:54', '2016-07-08 00:05:55', '2016-07-08 00:05:56', '2016-07-08 00:05:57', '2016-07-08 00:05:58', '2016-07-08 00:05:59'] 
... 
...

（サンプルでは多分実際のコードでは、必要ありませんが重要です）いくつかのコードを削除してみてください入れ子にして出力listsappendデータをループに入れてL：

import pandas as pd 

L = [] 
for time in pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min'):  
    print (pd.date_range(time, freq='S', periods=60).strftime("%Y-%m-%d %H:%M:%S").tolist()) 
    L.append(pd.date_range(time, freq='S', periods=60).strftime("%Y-%m-%d %H:%M:%S").tolist()) 

print (L) 

[['2016-07-08 00:00:00', '2016-07-08 00:00:01', '2016-07-08 00:00:02', '2016-07-08 00:00:03', '2016-07-08 00:00:04', '2016-07-08 00:00:05', '2016-07-08 00:00:06', '2016-07-08 00:00:07', '2016-07-08 00:00:08', '2016-07-08 00:00:09', '2016-07-08 00:00:10', '2016-07-08 00:00:11', '2016-07-08 00:00:12', '2016-07-08 00:00:13', '2016-07-08 00:00:14', '2016-07-08 00:00:15', '2016-07-08 00:00:16', '2016-07-08 00:00:17', '2016-07-08 00:00:18', '2016-07-08 00:00:19', '2016-07-08 00:00:20', '2016-07-08 00:00:21', '2016-07-08 00:00:22', '2016-07-08 00:00:23', '2016-07-08 00:00:24', '2016-07-08 00:00:25', '2016-07-08 00:00:26', '2016-07-08 00:00:27', '2016-07-08 00:00:28', '2016-07-08 00:00:29', '2016-07-08 00:00:30', '2016-07-08 00:00:31', '2016-07-08 00:00:32', '2016-07-08 00:00:33', '2016-07-08 00:00:34', '2016-07-08 00:00:35', '2016-07-08 00:00:36', '2016-07-08 00:00:37', '2016-07-08 00:00:38', '2016-07-08 00:00:39', '2016-07-08 00:00:40', '2016-07-08 00:00:41', '2016-07-08 00:00:42', '2016-07-08 00:00:43', '2016-07-08 00:00:44', '2016-07-08 00:00:45', '2016-07-08 00:00:46', '2016-07-08 00:00:47', '2016-07-08 00:00:48', '2016-07-08 00:00:49', '2016-07-08 00:00:50', '2016-07-08 00:00:51', '2016-07-08 00:00:52', '2016-07-08 00:00:53', '2016-07-08 00:00:54', '2016-07-08 00:00:55', '2016-07-08 00:00:56', '2016-07-08 00:00:57', '2016-07-08 00:00:58', '2016-07-08 00:00:59'], ['2016-07-08 00:05:00', '2016-07-08 00:05:01', '2016-07-08 00:05:02', '2016-07-08 00:05:03', '2016-07-08 00:05:04', '2016-07-08 00:05:05', '2016-07-08 00:05:06', '2016-07-08 00:05:07', '2016-07-08 00:05:08', '2016-07-08 00:05:09', '2016-07-08 00:05:10', '2016-07-08 00:05:11', '2016-07-08 00:05:12', '2016-07-08 00:05:13', '2016-07-08 00:05:14', '2016-07-08 00:05:15', '2016-07-08 00:05:16', '2016-07-08 00:05:17', '2016-07-08 00:05:18', '2016-07-08 00:05:19', '2016-07-08 00:05:20', '2016-07-08 00:05:21', '2016-07-08 00:05:22', '2016-07-08 00:05:23', '2016-07-08 00:05:24', '2016-07-08 00:05:25', '2016-07-08 00:05:26', '2016-07-08 00:05:27', '2016-07-08 00:05:28', '2016-07-08 00:05:29', '2016-07-08 00:05:30', '2016-07-08 00:05:31', '2016-07-08 00:05:32', '2016-07-08 00:05:33', '2016-07-08 00:05:34', '2016-07-08 00:05:35', '2016-07-08 00:05:36', '2016-07-08 00:05:37', '2016-07-08 00:05:38', '2016-07-08 00:05:39', '2016-07-08 00:05:40', '2016-07-08 00:05:41', '2016-07-08 00:05:42', '2016-07-08 00:05:43', '2016-07-08 00:05:44', '2016-07-08 00:05:45', '2016-07-08 00:05:46', '2016-07-08 00:05:47', '2016-07-08...

出典

2016-09-20 15:09:44 jezrael

Thx @jezrael！あなたはロック！ – DataAddicted

DatetimeIndexから時刻のリスト

答えて

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