Python | Pandas TimedeltaIndex.floor
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.floor()
function floor all the values in the given TimedeltaIndex object to the specified frequency.
Syntax : TimedeltaIndex.floor(freq)
Parameters :
freq : freq string/object
Return : index of same type
Example #1: Use TimedeltaIndex.floor()
function to floor all the values in the given TimedeltaIndex object to daily frequency.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '3 days 06:05:01.000030' , '1 days 06:05:01.000030' ,
None , '1 days 02:00:00' , '21 days 06:15:01.000030' ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.floor()
function to floor all the values.
Output :
As we can see in the output, the TimedeltaIndex.floor()
function has floored all the values to the daily frequency.
Example #2: Use TimedeltaIndex.floor()
function to floor all the values in the given TimedeltaIndex object to hourly frequency.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '06:05:01.000030' , '3 days 06:05:01.000030' ,
'22 day 2 min 3us 10ns' , '+23:59:59.999999' ,
None , '+12:19:59.999999' ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.floor()
function to floor all the values.
Output :
As we can see in the output, the TimedeltaIndex.floor()
function has floored all the values to the hourly frequency.
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