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.fromtimestamp() function return a Timestamp object when passed an integer which represents the timestamp value.
Syntax :Timestamp.fromtimestamp()
Parameters : integer
Return : Timestamp
Example #1: Use Timestamp.fromtimestamp() function to return a Timestamp object from the passed value.
# 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.fromtimestamp() function to return a Timestamp object from the passed value.
# convert to a Timestamp object ts.fromtimestamp(992345678) |
Output :
As we can see in the output, the Timestamp.fromtimestamp() function has returned a new Timestamp object constructed from the passed value.
Example #2: Use Timestamp.fromtimestamp() function to return a Timestamp object from the passed value.
# 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.fromtimestamp() function to return a Timestamp object from the passed value.
# convert to a Timestamp object ts.fromtimestamp(634816) |
Output :
As we can see in the output, the Timestamp.fromtimestamp() function has returned a new Timestamp object constructed from the passed value.
