Python | Pandas TimedeltaIndex.strides
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.
import pandas as pd
tidx = pd.TimedeltaIndex(start = '1 days 02:00:12.001124' , periods = 5 ,
freq = 'N' , name = 'Koala' )
print (tidx)
|
Output :
Now we will find out the value of strides for the idx object.
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.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '-1 days 2 min 3us 10ns' , '1 days 06:05:01.000030' ,
'-1 days + 23:59:59.999999' ])
print (tidx)
|
Output :
Now we will find out the value of strides for the idx object.
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]’.
Last Updated :
29 Dec, 2018
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