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Python Pandas - Extract the nanoseconds from the DateTimeIndex with specific time series frequency
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')
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