Pandas: Sequences of fixed-frequency dates and time spans

Last update on December 21 2024 07:56:07 (UTC/GMT +8 hours)

Write a Pandas program to generate sequences of fixed-frequency dates and time spans intervals.

Sample Solution:

Python Code :

import pandas as pd
print("Sequences of fixed-frequency dates and time spans (1 H):\n")
r1 = pd.date_range('2030-01-01', periods=10, freq='H')
print(r1)
print("\nSequences of fixed-frequency dates and time spans (3 H):\n")
r2 = pd.date_range('2030-01-01', periods=10, freq='3H')
print(r2)

Sample Output:

Sequences of fixed-frequency dates and time spans (1 H):

DatetimeIndex(['2030-01-01 00:00:00', '2030-01-01 01:00:00',
               '2030-01-01 02:00:00', '2030-01-01 03:00:00',
               '2030-01-01 04:00:00', '2030-01-01 05:00:00',
               '2030-01-01 06:00:00', '2030-01-01 07:00:00',
               '2030-01-01 08:00:00', '2030-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='H')

Sequences of fixed-frequency dates and time spans (3 H):

DatetimeIndex(['2030-01-01 00:00:00', '2030-01-01 03:00:00',
               '2030-01-01 06:00:00', '2030-01-01 09:00:00',
               '2030-01-01 12:00:00', '2030-01-01 15:00:00',
               '2030-01-01 18:00:00', '2030-01-01 21:00:00',
               '2030-01-02 00:00:00', '2030-01-02 03:00:00'],
              dtype='datetime64[ns]', freq='3H')

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to find the all the business quarterly begin and end dates of a specified year.
Next: Write a Pandas program to generate time series combining day and intraday offsets intervals.