[英]Pandas: Creating a pandas date-time series with different frequencies
我需要創建一個 pandas 列,其日期范圍為 2015-12-01 到 2016-12-01,但時間頻率不同:
第一天的 output 應該如下所示,但目標是在所有日期范圍內執行此操作:
1 2015-12-01 02:00:00
2 2015-12-01 03:00:00
3 2015-12-01 04:00:00
4 2015-12-01 05:00:00
5 2015-12-01 06:00:00
6 2015-12-01 07:00:00
7 2015-12-01 07:30:00
8 2015-12-01 08:00:00
9 2015-12-01 08:30:00
10 2015-12-01 09:00:00
11 2015-12-01 09:30:00
12 2015-12-01 10:00:00
13 2015-12-01 10:30:00
14 2015-12-01 11:00:00
15 2015-12-01 11:30:00
16 2015-12-01 12:00:00
17 2015-12-01 12:30:00
18 2015-12-01 13:00:00
19 2015-12-01 13:30:00
20 2015-12-01 14:00:00
21 2015-12-01 14:30:00
22 2015-12-01 15:00:00
23 2015-12-01 15:30:00
24 2015-12-01 16:00:00
25 2015-12-01 16:30:00
26 2015-12-01 17:00:00
27 2015-12-01 17:30:00
28 2015-12-01 18:00:00
29 2015-12-01 18:30:00
30 2015-12-01 19:00:00
31 2015-12-01 19:30:00
32 2015-12-01 20:00:00
33 2015-12-01 20:30:00
34 2015-12-01 21:00:00
35 2015-12-01 21:30:00
36 2015-12-01 22:00:00
37 2015-12-01 23:00:00
38 2015-12-02 00:00:00
為此,我使用了:
datetime_series_1 = pd.Series(pd.date_range("2015-12-01 01:00:00", periods=7 , freq="h"))
datetime_series_2 = pd.Series(pd.date_range("2015-12-01 07:30:00", periods=29 , freq="30min"))
datetime_series_3 = pd.Series(pd.date_range("2015-12-01 22:00:00", periods=3 , freq="h"))
datetime_series = pd.concat([datetime_series_1, datetime_series_2, datetime_series_3])
datetime_series.reset_index(inplace=True, drop=True)
print(datetime_series)
但是,我不知道如何制作一個可以重現此問題的 for 循環,但在我上面提到的 2015-12-01 到 2016-12-01 的日期范圍內。 基本上我不知道如何在 for 循環中指示它更改 date_range 方法字符串中的日期。
任何幫助將不勝感激。
謝謝 !
這應該可以解決問題:
#Your code
datetime_series_1 = pd.Series(pd.date_range("2015-12-01 01:00:00", periods=7 , freq="h"))
datetime_series_2 = pd.Series(pd.date_range("2015-12-01 07:30:00", periods=29 , freq="30min"))
datetime_series_3 = pd.Series(pd.date_range("2015-12-01 22:00:00", periods=3 , freq="h"))
datetime_series = pd.concat([datetime_series_1, datetime_series_2, datetime_series_3])
datetime_series.reset_index(inplace=True, drop=True)
#loop through the number of days and use a day delta adding to list
list_dates = [datetime_series]*366 #2016 was leap year :)
for i in range(0,366):
list_dates[i] = datetime_series + pd.Timedelta("{0} days".format(i))
#concat that list at the end
datetime_series = pd.concat(list_dates)
print(datetime_series)
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