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.to_julian_date() function convert the given TimeStamp to a Julian Date. The value for 0 Julian date is noon January 1, 4713 BC.
Syntax :Timestamp.to_julian_date()
Parameters : None
Return : julian date
Example #1: Use Timestamp.to_julian_date() function to convert the given Timestamp to julian date.
# 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.to_julian_date() function to convert the given Timestamp to julian date.
# convert to julian date ts.to_julian_date() |
Output :
As we can see in the output, the Timestamp.to_julian_date() function has converted the given Timestamp into the julian date.
Example #2: Use Timestamp.to_julian_date() function to convert the given Timestamp to julian date.
# 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.to_julian_date() function to convert the given Timestamp to julian date.
# convert to julian date ts.to_julian_date() |
Output :
As we can see in the output, the Timestamp.to_julian_date() function has converted the given Timestamp into the julian date.
