1import pandas as pd
2import numpy as np
3
4np.random.seed(0)
5# create an array of 5 dates starting at '2015-02-24', one per minute
6rng = pd.date_range('2015-02-24', periods=5, freq='T')
7df = pd.DataFrame({ 'Date': rng, 'Val': np.random.randn(len(rng)) })
8
9print (df)
10# Output:
11# Date Val
12# 0 2015-02-24 00:00:00 1.764052
13# 1 2015-02-24 00:01:00 0.400157
14# 2 2015-02-24 00:02:00 0.978738
15# 3 2015-02-24 00:03:00 2.240893
16# 4 2015-02-24 00:04:00 1.867558
17
18# create an array of 5 dates starting at '2015-02-24', one per day
19rng = pd.date_range('2015-02-24', periods=5, freq='D')
20df = pd.DataFrame({ 'Date': rng, 'Val' : np.random.randn(len(rng))})
21
22print (df)
23# Output:
24# Date Val
25# 0 2015-02-24 -0.977278
26# 1 2015-02-25 0.950088
27# 2 2015-02-26 -0.151357
28# 3 2015-02-27 -0.103219
29# 4 2015-02-28 0.410599
30
31# create an array of 5 dates starting at '2015-02-24', one every 3 years
32rng = pd.date_range('2015-02-24', periods=5, freq='3A')
33df = pd.DataFrame({ 'Date': rng, 'Val' : np.random.randn(len(rng))})
34
35print (df)
36# Output:
37# Date Val
38# 0 2015-12-31 0.144044
39# 1 2018-12-31 1.454274
40# 2 2021-12-31 0.761038
41# 3 2024-12-31 0.121675
42# 4 2027-12-31 0.443863
43