Python | Pandas Series.dt.microsecond

Last Updated : 20 Mar, 2019
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.
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