Python Pandas - Get the minute of the hour component of the Period

In Pandas, you can extract the minute component from a Period object using the period.minute property. This property returns the minute value (0-59) from the Period's datetime representation.

Syntax

period.minute

Where period is a Pandas Period object containing datetime information.

Creating Period Objects

First, let's create Period objects with different datetime formats ?

import pandas as pd

# Create Period from string representation
period1 = pd.Period("2020-09-23 05:55:30")

# Create Period using individual components
period2 = pd.Period(freq="T", year=2021, month=7, day=16, hour=2, minute=35)

print("Period1:", period1)
print("Period2:", period2)

Period1: 2020-09-23 05:55:30
Period2: 2021-07-16 02:35

Extracting Minute Component

Use the minute property to get the minute value from Period objects ?

import pandas as pd

# Create Period objects
period1 = pd.Period("2020-09-23 05:55:30")
period2 = pd.Period(freq="T", year=2021, month=7, day=16, hour=2, minute=35)

# Extract minute components
minute1 = period1.minute
minute2 = period2.minute

print(f"Minute from period1: {minute1}")
print(f"Minute from period2: {minute2}")

Minute from period1: 55
Minute from period2: 35

Working with Period Arrays

You can also extract minutes from multiple Period objects at once ?

import pandas as pd

# Create a PeriodIndex with multiple periods
periods = pd.PeriodIndex(['2020-01-15 10:25:45', '2021-06-30 14:18:12', '2022-12-05 23:59:03'], freq='S')

print("Periods:")
print(periods)
print("\nMinutes:")
print(periods.minute)

Periods:
PeriodIndex(['2020-01-15 10:25:45', '2021-06-30 14:18:12', '2022-12-05 23:59:03'], dtype='period[S]')

Minutes:
Index([25, 18, 59], dtype='int64')

Conclusion

The period.minute property provides a simple way to extract minute components from Pandas Period objects. It works with both individual Period objects and PeriodIndex arrays, returning integer values from 0 to 59.