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 import pandas 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.
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Example #2: Use TimedeltaIndex.is_monotonic_increasing attribute to check if the TimedeltaIndex object is monotonic increasing or not.
# importing pandas as pd import pandas 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.
