Pandas: Sequences of fixed-frequency dates and time spans

Last update on April 04 2025 13:48:06 (UTC/GMT +8 hours)

23. Fixed-Frequency Date Sequences

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')

For more Practice: Solve these Related Problems:

Write a Pandas program to generate a sequence of fixed-frequency dates and then calculate the total time span of the sequence.
Write a Pandas program to create a time-series with a fixed interval and then identify any gaps in the sequence.
Write a Pandas program to generate a fixed-frequency date range and then merge overlapping intervals into single spans.
Write a Pandas program to create a fixed-frequency date series and then compute the interval differences between consecutive dates.

Python Code Editor:

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