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/objectReturn : index of same type
Example #1: Use TimedeltaIndex.ceil() function to ceil the value of the given TimedeltaIndex object to the specified frequency.
# importing pandas as pd import pandas as pd # Create the first TimedeltaIndex object tidx = pd.TimedeltaIndex(start ='1 days 02:00:12.001124', periods = 5, freq ='N', name ='Koala') # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.ceil() function to ceil the value to minutely frequency.
# ceil the values to minutely frequency. tidx.ceil('T') |
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.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['06:05:01.000030', '+23:59:59.999999', '22 day 2 min 3us 10ns', None]) # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.ceil() function to ceil the value to daily frequency.
# ceil the values to daily frequency. tidx.ceil('D') |
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.
