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.strides attribute return the strides of the underlying data in consideration. The strides of the TimedeltaIndex object tell us how many bytes we have to skip in memory to move to the next position.
Syntax : TimedeltaIndex.strides
Return : value of strides
Example #1: Use TimedeltaIndex.strides attribute to find out the strides for the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(start ='1 days 02:00:12.001124', periods = 5, freq ='N', name ='Koala') # Print the TimedeltaIndex print(tidx) |
Output :
Now we will find out the value of strides for the idx object.
# print the strides for tidx object tidx.strides |
Output :
As we can see in the output, the TimedeltaIndex.strides attribute has returned 8 because the type of the data stored in the given object is ‘timedelta64[ns]’.
Example #2: Use TimedeltaIndex.strides attribute to find out the strides for the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['-1 days 2 min 3us 10ns', '1 days 06:05:01.000030', '-1 days + 23:59:59.999999']) # Print the TimedeltaIndex print(tidx) |
Output :
Now we will find out the value of strides for the idx object.
# print the strides for tidx object tidx.strides |
Output :
As we can see in the output, the TimedeltaIndex.strides attribute has returned 8 because the type of the data stored in the given object is ‘timedelta64[ns]’.
