Python | Pandas DatetimeIndex.time

Python | Pandas DatetimeIndex.to_perioddelta()

Last Updated : 29 Dec, 2018

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

# importing pandas as pd 
import pandas as pd 
  
# Create the DatetimeIndex 
# Here 'S' represents secondly frequency  
didx = pd.DatetimeIndex(start ='2018-11-15 09:45:10', freq ='S', periods = 5) 
  
# Print the DatetimeIndex 
print(didx) 

Output :

Now we want to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex

# calculate the TimedeltaIndex  
# 'T' represents minute based frequency 
didx.to_perioddelta('T') 

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.

# importing pandas as pd 
import pandas as pd 
  
# Create the DatetimeIndex 
# Here 'T' represents minutely frequency  
didx = pd.DatetimeIndex(start ='2015-03-02 01:15:12', freq ='T', periods = 5) 
  
# Print the DatetimeIndex 
print(didx) 

Output :

Now we want to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex

# calculate the TimedeltaIndex  
# 'H' represents hourly frequency 
didx.to_period('H') 

Output :

As we can see in the output, the returned the difference between the index values and index converted to periodIndex.

Python | Pandas DatetimeIndex.time

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Shubham__Ranjan

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