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_decreasing attribute return True if the index value are monotonically decreasing. It return True even when the values are equal.
Syntax: TimedeltaIndex.is_monotonic_decreasing
Return : boolean
Example #1: Use TimedeltaIndex.is_monotonic_decreasing attribute to check if the TimedeltaIndex object is monotonic decreasing or not.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['1 days 02:04:00', '1 days 02:03:00', '1 days 02:02:00', '1 days 02:01:00']) # Print the TimedeltaIndex print(tidx) |
Output :
Now we will check if the TimedeltaIndex object is monotonic decreasing or not.
# check if tidx is monotonic decreasing or not tidx.is_monotonic_decreasing |
Output :
As we can see in the output, the TimedeltaIndex.is_monotonic_decreasing attribute has returned True indicating that value in tidx object is monotonically decreasing.
Example #2: Use TimedeltaIndex.is_monotonic_decreasing attribute to check if the TimedeltaIndex object is monotonic decreasing 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 decreasing or not.
# check if tidx is monotonic decreasing or not tidx.is_monotonic_decreasing |
Output :
As we can see in the output, the TimedeltaIndex.is_monotonic_decreasing attribute has returned False indicating that value in tidx object is not monotonically decreasing.
