Python | Pandas TimedeltaIndex.ceil
Last Updated :
28 Dec, 2018
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 TimedeltaIndex.ceil()
function ceil the index of the TimedeltaIndex object to the specified freq. The function takes the frequency as an argument to which we wan to ceil the values.
Syntax : TimedeltaIndex.ceil(freq)
Parameters :
freq : freq string/object
Return : index of same type
Example #1: Use TimedeltaIndex.ceil()
function to ceil the value of the given TimedeltaIndex object to the specified frequency.
import pandas as pd
tidx = pd.TimedeltaIndex(start = '1 days 02:00:12.001124' , periods = 5 ,
freq = 'N' , name = 'Koala' )
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.ceil()
function to ceil the value to minutely frequency.
Output :
As we can see in the output, the TimedeltaIndex.ceil()
function has returned a new index object containing values ceiled to the desired frequency.
Example #2: Use TimedeltaIndex.ceil()
function to ceil the value of the given TimedeltaIndex object to the specified frequency.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '06:05:01.000030' , '+23:59:59.999999' ,
'22 day 2 min 3us 10ns' , None ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.ceil()
function to ceil the value to daily frequency.
Output :
As we can see in the output, the TimedeltaIndex.ceil()
function has returned a new index object containing values ceiled to the desired frequency.
Like Article
Suggest improvement
Share your thoughts in the comments
Please Login to comment...