Python | Pandas Series.dt.microsecond Last Updated : 20 Mar, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.microsecond attribute return a numpy array containing the microsecond of the datetime in the underlying data of the given series object. Syntax: Series.dt.microsecond Parameter : None Returns : numpy array Example #1: Use Series.dt.microsecond attribute to return the microsecond of the datetime in the underlying data of the given Series object. Python3 # importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(pd.date_range('2012-12-12 12:12', periods = 5, freq = '5U')) # Creating the index idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5'] # set the index sr.index = idx # Print the series print(sr) Output : Now we will use Series.dt.microsecond attribute to return the microsecond of the datetime in the underlying data of the given Series object. Python3 # return the microsecond result = sr.dt.microsecond # print the result print(result) Output : As we can see in the output, the Series.dt.microsecond attribute has successfully accessed and returned the microsecond of the datetime in the underlying data of the given series object. Example #2 : Use Series.dt.microsecond attribute to return the microsecond of the datetime in the underlying data of the given Series object. Python3 # importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(pd.date_range('2008-2-9 08:20:21', periods = 5, freq = '9U')) # Creating the index idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5'] # set the index sr.index = idx # Print the series print(sr) Output : Now we will use Series.dt.microsecond attribute to return the microsecond of the datetime in the underlying data of the given Series object. Python3 # return the microsecond result = sr.dt.microsecond # print the result print(result) Output : As we can see in the output, the Series.dt.microsecond attribute has successfully accessed and returned the microsecond of the datetime in the underlying data of the given series object. Comment More infoAdvertise with us Next Article Python | Pandas TimedeltaIndex.microseconds S Shubham__Ranjan Follow Improve Article Tags : Pandas Python-pandas Python pandas-series-datetime AI-ML-DS With Python Similar Reads Python | Pandas Timestamp.microsecond Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas Timestamp.microsecond attribute return the value of microsecond in the given Ti 2 min read Python | Pandas Timedelta.microseconds Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Timedelta is a subclass of datetime.timedelta, and behaves in a similar manner. It is 2 min read Python | Pandas TimedeltaIndex.microseconds Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas TimedeltaIndex.microseconds attribute return the number of microseconds for eac 2 min read Python | Pandas DatetimeIndex.microsecond Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas DatetimeIndex.microsecond attribute outputs an Index object containing the micr 2 min read Python | Pandas DatetimeIndex.to_series() Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas DatetimeIndex.to_series() function create a Series with both index and values e 2 min read Python | Pandas Timestamp.nanosecond Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas Timestamp.nanosecond attribute return the nanosecond value of the given Timesta 2 min read Like