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.week attribute return an integer value which is the ordinal value of the week in which the date of the given Timestamp object lies.
Syntax : Timestamp.week Parameters : None Return : week
Example #1: Use Timestamp.week attribute to find the ordinal value of the week in which the date of the given Timestamp object lies.Â
Python3
# importing pandas as pdimport pandas as pdÂ
# Create the Timestamp objectts = pd.Timestamp(year = 2011, month = 11, day = 21,           hour = 10, second = 49, tz = 'US/Central')Â
# Print the Timestamp objectprint(ts) |
Output : 
Now we will use the Timestamp.week attribute to find ordinal value of the weekÂ
Python3
# return the week numberts.week |
Output : As we can see in the output, the Timestamp.week attribute has returned 47 indicating that the date in the given Timestamp object falls in the 47th week of the year. Â Â Example #2: Use Timestamp.week attribute to find the ordinal value of the week in which the date of the given Timestamp object lies.Â
Python3
# importing pandas as pdimport pandas as pdÂ
# Create the Timestamp objectts = pd.Timestamp(year = 2009, month = 5, day = 31,        hour = 4, second = 49, tz = 'Europe/Berlin')Â
# Print the Timestamp objectprint(ts) |
Output : Now we will use the Timestamp.week attribute to find ordinal value of the weekÂ
Python3
# return the week numberts.week |
Output : As we can see in the output, the Timestamp.week attribute has returned 22 indicating that the date in the given Timestamp object falls in the 22nd week of the year.
