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

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

At first, import the required libraries −

import pandas as pd

DatetimeIndex with period 6 and frequency as H i.e. hour. The timezone is Australia/Sydney −

datetimeindex = pd.date_range('2021-10-20 02:35:55', periods=6, tz='Australia/Sydney', freq='H')

Display DateTimeIndex −

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

Get the hour −

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

Example

Following is the code −

import pandas as pd

# DatetimeIndex with period 6 and frequency as H i.e. hour
# The timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:35:55', periods=6, tz='Australia/Sydney', freq='H')

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

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

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

Output

This will produce the following code −

DateTimeIndex...
DatetimeIndex(['2021-10-20 02:35:55+11:00', '2021-10-20 03:35:55+11:00',
'2021-10-20 04:35:55+11:00', '2021-10-20 05:35:55+11:00',
'2021-10-20 06:35:55+11:00', '2021-10-20 07:35:55+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='H')

DateTimeIndex frequency...
<Hour>

Getting the hour..
Int64Index([2, 3, 4, 5, 6, 7], dtype='int64')