Python | Pandas Timestamp.toordinal

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.toordinal() function return proleptic Gregorian ordinal. January 1 of year 1 is day 1. Function return the ordinal value for the given Timestamp object.

Syntax :Timestamp.toordinal() Parameters : None Return : ordinal

Example #1: Use Timestamp.toordinal() function to return the Gregorian ordinal for the given Timestamp object. Python3

# importing pandas as pd
import pandas as pd

# Create the Timestamp object
ts = pd.Timestamp(year = 2011,  month = 11, day = 21, 
                  hour = 10, second = 49, tz = 'US/Central') 

# Print the Timestamp object
print(ts)

Output : Now we will use the Timestamp.toordinal() function to return the Gregorian ordinal for the given Timestamp object. Python3

# return ordinal
ts.toordinal()

Output : As we can see in the output, the Timestamp.toordinal() function has returned the Gregorian ordinal for the given Timestamp. Example #2: Use Timestamp.toordinal() function to return the Gregorian ordinal for the given Timestamp object. Python3

# importing pandas as pd
import pandas as pd

# Create the Timestamp object
ts = pd.Timestamp(year = 2009, month = 5, day = 31, 
                  hour = 4, second = 49, tz = 'Europe/Berlin')

# Print the Timestamp object
print(ts)

Output : Now we will use the Timestamp.toordinal() function to return the Gregorian ordinal for the given Timestamp object. Python3

# return ordinal
ts.toordinal()

Output : As we can see in the output, the Timestamp.toordinal() function has returned the Gregorian ordinal for the given Timestamp.