7 天每小时平均 pandas

Question

我需要一些帮助来计算每小时的 7 天平均值。

时间序列有一个每小时的分辨率，我需要每小时的 7 天平均值，例如13 点

date, x
2020-07-01 13:00 , 4
2020-07-01 14:00 , 3
.
.
.
2020-07-02 13:00 , 3
2020-07-02 14:00 , 7
.
.
.

我尝试使用 pandas 和滚动平均值，但滚动包括最后 7 天。感谢您的任何提示！

Answer 1

添加一个新的 hour 列，按 hour 列分组，然后添加计算 7 天的平均值。这与问题的意图是一致的。

df['hour'] = df.index.hour
df = df.groupby(df.hour)['x'].rolling(7).mean().reset_index()
df.head(35)

   hour level_1 x
0   0   2020-07-01 00:00:00 NaN
1   0   2020-07-02 00:00:00 NaN
2   0   2020-07-03 00:00:00 NaN
3   0   2020-07-04 00:00:00 NaN
4   0   2020-07-05 00:00:00 NaN
5   0   2020-07-06 00:00:00 NaN
6   0   2020-07-07 00:00:00 48.142857
7   0   2020-07-08 00:00:00 50.285714
8   0   2020-07-09 00:00:00 60.000000
9   0   2020-07-10 00:00:00 63.142857
10  1   2020-07-01 01:00:00 NaN
11  1   2020-07-02 01:00:00 NaN
12  1   2020-07-03 01:00:00 NaN
13  1   2020-07-04 01:00:00 NaN
14  1   2020-07-05 01:00:00 NaN
15  1   2020-07-06 01:00:00 NaN
16  1   2020-07-07 01:00:00 52.571429
17  1   2020-07-08 01:00:00 48.428571
18  1   2020-07-09 01:00:00 38.000000
19  2   2020-07-01 02:00:00 NaN
20  2   2020-07-02 02:00:00 NaN
21  2   2020-07-03 02:00:00 NaN
22  2   2020-07-04 02:00:00 NaN
23  2   2020-07-05 02:00:00 NaN
24  2   2020-07-06 02:00:00 NaN
25  2   2020-07-07 02:00:00 46.571429
26  2   2020-07-08 02:00:00 47.714286
27  2   2020-07-09 02:00:00 42.714286
28  3   2020-07-01 03:00:00 NaN
29  3   2020-07-02 03:00:00 NaN
30  3   2020-07-03 03:00:00 NaN
31  3   2020-07-04 03:00:00 NaN
32  3   2020-07-05 03:00:00 NaN
33  3   2020-07-06 03:00:00 NaN
34  3   2020-07-07 03:00:00 72.571429

7 天每小时平均 pandas

7 days hourly mean with pandas

mean

pandas

rolling-computation