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.min() function return the minimum value of the TimedeltaIndex object or minimum along an axis.
Syntax : TimedeltaIndex.min(axis=None, *args, **kwargs)
Parameters : None
Return : Timedelta object
Example #1: Use TimedeltaIndex.min() function to find the minimum value in the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd   # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['3 days 06:05:01.000030', '1 days 06:05:01.000030',                                 '3 days 06:05:01.000030', '1 days 02:00:00',                                                  '21 days 06:15:01.000030'])   # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.min() function to find the minimum value in tidx object.
# find minimum value tidx.min() |
Output :
As we can see in the output, the TimedeltaIndex.min() function has returned the minimum value in the given TimedeltaIndex object.
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Example #2: Use TimedeltaIndex.min() function to find the minimum value in the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd   # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['06:05:01.000030', '3 days 06:05:01.000030',                                 '22 day 2 min 3us 10ns', '+23:59:59.999999',                              '13 days 06:05:01.000030', '+12:19:59.999999'])   # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.min() function to find the minimum value in tidx object.
# find minimum value tidx.min() |
Output :
As we can see in the output, the TimedeltaIndex.min() function has returned the minimum value in the given TimedeltaIndex object.
