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.summary() function return a summarized representation of the given TimedeltaIndex object. The summary contains the total number of entries, first entry and the last entry
Syntax : TimedeltaIndex.summary(value = None)
Parameters :
value : Scalar value to use to fill holes (e.g. 0). This value cannot be a list-likes.Returns : Summary
Example #1: Use TimedeltaIndex.summary() function to find the summary of the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['3 days 10:22:56', '1 days 06:05:01.000030', '19 days 12:22:56','1 days 02:00:00', '21 days 06:15:01.000030'],name ='Old_object') # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.summary() function to return the summary of the tidx object.
# find summary of tidx tidx.summary() |
Output :
As we can see in the output, the TimedeltaIndex.summary() function has returned a complete summary of the given TimedeltaIndex object.
Example #2: Use TimedeltaIndex.summary() function to find the summary of 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.summary() function to return the summary of the tidx object.
# find summary of tidx tidx.summary() |
Output :
As we can see in the output, the TimedeltaIndex.summary() function has returned a complete summary of the given TimedeltaIndex object.
