Python | Pandas Series.dt.microsecond

Michael Zippo 18.07.2021

Series.dt can be used to access series values as datetimelike and return multiple properties. Series.dt.microsecond Pandas Series.dt.microsecond returns an empty array containing date and time microseconds in base data of this series object.

Syntax: Series.dt.microsecond

Parameter: None

Returns: numpy array

Example # 1: Use the Series.dt.microsecond attribute to return the microsecond of the datetime in the underlying data of the given Series object.

# import pandas as pd

import pandas as pd

# Create series

sr = pd.Series (pd.date_r ange ( ’2012-12-12 12: 12’ ,

periods = 5 , freq = ’5U’ ))

# Create index

idx = [ ’ Day 1’ , ’Day 2’ , ’Day 3’ , ’ Day 4’ , ’ Day 5’ ]

# set index

sr.index = idx

# Print series

print (sr)

Output:

Now we will use the Series.dt.microsecond attribute to return the microsecond of the date and time in the underlying data of this Series object.

# return a microsecond

result = sr.dt.microsecond

# print the result

print < code class = "plain"> (result)

Output:

As we can see from the output, the Series.dt attribute .microsecond successfully accessed and returned the datetime microsecond in the underlying data of this series object.

Example # 2: Use the Series.dt.microsecond attribute to return the datetime microsecond in the underlying data of this Series object.

# import pandas as pd

import pandas as pd

# Create series

sr = pd.Series (pd.date_range ( ’2008-2-9 08: 20: 21’ ,

periods = 5 , freq = ’ 9U’ ))

# Create index

idx = [ ’Day 1’ , ’Day 2’ , ’Day 3’ , ’ Day 4’ , ’Day 5’ ]