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.hour attribute return the value of the hour for the given Timestamp object.
Syntax : Timestamp.hour
Parameters : None
Return : hour
Example #1: Use Timestamp.hour attribute to find out the hour value in the given Timestamp object.
# importing pandas as pd import pandas as pd   # Create the Timestamp object ts = pd.Timestamp(2017, 2, 15, 12)   # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.hour attribute to find out hour value in the given Timestamp object.
# return the hour value ts.hour |
Output :
As we can see in the output, the Timestamp.hour attribute has returned 12 as the hour value for the given Timestamp object.
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Example #2: Use Timestamp.hour attribute to find out the hour value in the given Timestamp object.
# importing pandas as pd import pandas as pd   # Create the Timestamp object ts = pd.Timestamp(year = 2009, month = 10, day = 21,                      hour = 4, tz = 'Europe/Berlin')   # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.hour attribute to find out hour value in the given Timestamp object.
# return the hour value ts.hour |
Output :
As we can see in the output, the Timestamp.hour attribute has returned 4 as the hour value for the given Timestamp object.
