Python | Pandas TimedeltaIndex.is_monotonic_increasing

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.is_monotonic_increasing attribute return True if the index value are monotonically increasing. It return True even when the values are equal.
Syntax: TimedeltaIndex.is_monotonic_increasing
Return : boolean
Example #1:  Use TimedeltaIndex.is_monotonic_increasing attribute to check if the TimedeltaIndex object is monotonic increasing or not. 
| # importing pandas as pd importpandas as pd  # Create the TimedeltaIndex object tidx =pd.TimedeltaIndex(start ='1 days 02:00:00', periods =5, freq ='T')  # Print the TimedeltaIndex print(tidx)  | 
Output : 
Now we will check if the TimedeltaIndex object is monotonic increasing or not.
| # check if tidx is monotonic increasing or not tidx.is_monotonic_increasing  | 
Output : 
As we can see in the output, the TimedeltaIndex.is_monotonic_increasing attribute has returned True indicating that value in tidx object is monotonically increasing.
 
Example #2:  Use TimedeltaIndex.is_monotonic_increasing attribute to check if the TimedeltaIndex object is monotonic increasing or not. 
| # importing pandas as pd importpandas as pd  # Create the TimedeltaIndex object tidx =pd.TimedeltaIndex(data =['-1 days 2 min 3us', '1 days 06:05:01.000030',                                                 '-1 days + 23:59:59.999999'])  # Print the TimedeltaIndex print(tidx)  | 
Output : 
Now we will check if the TimedeltaIndex object is monotonic increasing or not.
| # check if tidx is monotonic increasing or not tidx.is_monotonic_increasing  | 
Output : 
As we can see in the output, the TimedeltaIndex.is_monotonic_increasing attribute has returned False indicating that value in tidx object is not monotonically increasing.
 
				 
					



