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