Python | Pandas DatetimeIndex.to_perioddelta()
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 DatetimeIndex.to_perioddelta()
function calculate TimedeltaIndex of difference between index values and index converted to periodIndex at specified frequency. It is used for vectorized offsets.
Syntax: DatetimeIndex.to_perioddelta(freq)
Parameters :
freq : One of pandas’ offset strings or an Offset object. Will be inferred by default
Return : TimedeltaIndex
Example #1: Use DatetimeIndex.to_perioddelta()
function to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex at specified frequency
import pandas as pd
didx = pd.DatetimeIndex(start = '2018-11-15 09:45:10' , freq = 'S' , periods = 5 )
print (didx)
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Output :
Now we want to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex
Output :
As we can see in the output, the returned the difference between the index values and index converted to periodIndex.
Example #2: Use DatetimeIndex.to_perioddelta()
function to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex at specified frequency.
import pandas as pd
didx = pd.DatetimeIndex(start = '2015-03-02 01:15:12' , freq = 'T' , periods = 5 )
print (didx)
|
Output :
Now we want to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex
Output :
As we can see in the output, the returned the difference between the index values and index converted to periodIndex.
Last Updated :
29 Dec, 2018
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