Get Seconds from PeriodIndex Object in Python Pandas

To get the seconds of the period from the PeriodIndex object, use the PeriodIndex.second property.

At first, import the required libraries −

import pandas as pd

Create a PeriodIndex object. PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods in time −

periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45',
'2021-07-15 02:55:15', '2022-06-25 09:40:55'], freq="S")

Display PeriodIndex object −

print("PeriodIndex...\n", periodIndex)

Display seconds from the PeriodIndex object −

print("\nThe seconds from the PeriodIndex object...\n", periodIndex.second)

Example

Following is the code −

import pandas as pd

# Create a PeriodIndex object
# PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods in time
# We have set the frequency using the "freq" parameter
periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45',
'2021-07-15 02:55:15', '2022-06-25 09:40:55'], freq="S")

# Display PeriodIndex object
print("PeriodIndex...\n", periodIndex)

# Display PeriodIndex frequency
print("\nPeriodIndex frequency object...\n", periodIndex.freq)

# Display PeriodIndex frequency as string
print("\nPeriodIndex frequency object as a string...\n", periodIndex.freqstr)

# Display seconds from the PeriodIndex object
print("\nThe seconds from the PeriodIndex object...\n", periodIndex.second)

Output

This will produce the following code −

PeriodIndex...
PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2021-07-15 02:55:15', '2022-06-25 09:40:55'],
dtype='period[S]')

PeriodIndex frequency object...
<Second>

PeriodIndex frequency object as a string...
S

The seconds from the PeriodIndex object...
Int64Index([35, 45, 15, 55], dtype='int64')