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.minute attribute return the minute value in the given Timestamp object. If the minute value has not been set then it return 0.
Syntax : Timestamp.minute
Parameters : None
Return : minute
Example #1: Use Timestamp.minute attribute to find the minute value in the given Timestamp object.
# importing pandas as pd import pandas as pd   # Create the Timestamp object ts = pd.Timestamp(2016, 1, 1, 12, 25, 16, 28)   # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.minute attribute to print the value of minute in ts object.
# find the value of minute ts.minute |
Output :
As we can see in the output, the Timestamp.minute attribute has returned 25 indicating that the value of minute in the ts object is set to 25.
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Example #2: Use Timestamp.minute attribute to find the minute value in the given Timestamp object.
# importing pandas as pd import pandas as pd   # Create the Timestamp object ts = pd.Timestamp(year = 2009, month = 5, day = 31, hour = 4,                      microsecond = 15, tz = 'Europe/Berlin')   # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.minute attribute to print the value of minute in ts object.
# find the value of minute ts.minute |
Output :
As we can see in the output, the Timestamp.minute attribute has returned 0 as the minute value has not been set for the given ts object, so the output is 0.
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