Series.dt
can be used to access series values as datetimelike and return multiple properties. Series.dt.hour
Pandas Series.dt.hour
returns an empty array containing the hour of the date and time in base data of this series object.
Syntax: Series.dt.hour
Parameter: None
Returns: numpy array
Example # 1: Use the Series.dt.hour attribute
to return the hour of date and time in the underlying data of this Series object.

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

Output:
As we can see from the output, the Series.dt.hour successfully accessed and returned the datetime hour in the underlying data of the given series object.
Example # 2: Use the Series.dt.hour
attribute to return the hour date and time in the underlying data of this Series object.
# import pandas as pd
import
pandas as pd
# Create series
sr
=
pd.Series (pd.date_range (
`20121212 12: 12`
,
periods
=
5
, freq
= `H`
))
# 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.hour
attribute to return the date and time hour in the underlying data of this Series object.
# return hour
result
= sr.dt.hour
< / p>
# print the result
print
(result)
Output:
Like us as seen from the output, the Series.dt.hour
attribute successfully accessed and returned the datetime hour in the underlying data of the given series object.
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