Group Pandas Data By Hour Of The Day
Preliminaries
/* Import libraries */
import pandas as pd
import numpy as np
Create Data
/* Create a time series of 2000 elements, one very five minutes starting on 1/1/2000 */
time = pd.date_range('1/1/2000', periods=2000, freq='5min')
/* Create a pandas series with a random values between 0 and 100, using 'time' as the index */
series = pd.Series(np.random.randint(100, size=2000), index=time)
View Data
/* View the first few rows of the data */
series[0:10]
2000-01-01 00:00:00 40
2000-01-01 00:05:00 13
2000-01-01 00:10:00 99
2000-01-01 00:15:00 72
2000-01-01 00:20:00 4
2000-01-01 00:25:00 36
2000-01-01 00:30:00 24
2000-01-01 00:35:00 20
2000-01-01 00:40:00 83
2000-01-01 00:45:00 44
Freq: 5T, dtype: int64
Group Data By Time Of The Day
/* Group the data by the index's hour value, then aggregate by the average */
series.groupby(series.index.hour).mean()
0 50.380952
1 49.380952
2 49.904762
3 53.273810
4 47.178571
5 46.095238
6 49.047619
7 44.297619
8 53.119048
9 48.261905
10 45.166667
11 54.214286
12 50.714286
13 56.130952
14 50.916667
15 42.428571
16 46.880952
17 56.892857
18 54.071429
19 47.607143
20 50.940476
21 50.511905
22 44.550000
23 50.250000
dtype: float64
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