To extract the microsecond from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.microsecond property.
At first, import the required libraries −
import pandas as pd
Create a DatetimeIndex with period 6 and frequency as us i.e. microseconds. The timezone is Australia/Sydney −
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='us')
Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)
Get the microsecond −
print("\nGetting the microseconds..\n",datetimeindex.microsecond)
Example
Following is the code −
import pandas as pd # DatetimeIndex with period 6 and frequency as us i.e. microseconds # The timezone is Australia/Sydney datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='us') # display DateTimeIndex print("DateTimeIndex...\n", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) # get the microsecond print("\nGetting the microseconds..\n",datetimeindex.microsecond)
Output
This will produce the following code −
DateTimeIndex... DatetimeIndex([ '2021-10-20 02:30:50+11:00', '2021-10-20 02:30:50.000001+11:00', '2021-10-20 02:30:50.000002+11:00', '2021-10-20 02:30:50.000003+11:00', '2021-10-20 02:30:50.000004+11:00', '2021-10-20 02:30:50.000005+11:00'], dtype='datetime64[ns, Australia/Sydney]', freq='U') DateTimeIndex frequency... <Micro> Getting the microseconds.. Int64Index([0, 1, 2, 3, 4, 5], dtype='int64')