Python Pandas - Extract the minute from DateTimeIndex with specific time series frequency

To extract the minute from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.minute property.

At first, import the required libraries −

import pandas as pd

Create a DatetimeIndex with period 6 and frequency as T i.e. minute. The timezone is Australia/Sydney −

datetimeindex = pd.date_range('2021-10-20 02:30:55', periods=6, tz='Australia/Sydney', freq='T')

Display DateTimeIndex −

print("DateTimeIndex...\n", datetimeindex)

Get the minute −

print("\nGetting the minute..\n",datetimeindex.minute)

Example

Following is the code −

import pandas as pd

# DatetimeIndex with period 6 and frequency as T i.e. minute
# The timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:30:55', periods=6, tz='Australia/Sydney', freq='T')

# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)

# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)

# get the minute
print("\nGetting the minute..\n",datetimeindex.minute)

Output

This will produce the following code −

DateTimeIndex...
DatetimeIndex(['2021-10-20 02:30:55+11:00', '2021-10-20 02:31:55+11:00',
'2021-10-20 02:32:55+11:00', '2021-10-20 02:33:55+11:00',
'2021-10-20 02:34:55+11:00', '2021-10-20 02:35:55+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='T')
DateTimeIndex frequency...
<Minute>

Getting the minute..
Int64Index([30, 31, 32, 33, 34, 35], dtype='int64')