Extract Nanoseconds from DatetimeIndex in Python Pandas

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

At first, import the required libraries −

import pandas as pd

Create a DatetimeIndex with period 6 and frequency as ns i.e. nanoseconds −

datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='ns')

Display DateTimeIndex −

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

Get the nanoseconds −

print("\nGetting the nanoseconds..\n",datetimeindex.nanosecond)

Example

Following is the code −

import pandas as pd

# DatetimeIndex with period 6 and frequency as ns i.e. nanoseconds
# The timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='ns')

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

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

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

Output

This will produce the following code −

DateTimeIndex...
DatetimeIndex([ '2021-10-20 02:30:50+11:00',
'2021-10-20 02:30:50.000000001+11:00',
'2021-10-20 02:30:50.000000002+11:00',
'2021-10-20 02:30:50.000000003+11:00',
'2021-10-20 02:30:50.000000004+11:00',
'2021-10-20 02:30:50.000000005+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='N')
DateTimeIndex frequency...
<Nano>

Getting the nanoseconds..
Int64Index([0, 1, 2, 3, 4, 5], dtype='int64')