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Python | Pandas Series.dt.microsecond

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’ ]

  
# set index

sr.index   = idx

 
# Print series

print (sr)

Output:

We will now use the Series.dt.microsecond attribute to return the microsecond of the date and time in base data of this Series object.

# return a microsecond

result = sr.dt.microsecond

 
# print the result

print (result)

Exit:

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

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