Python | Pandas DatetimeIndex.to_perioddelta() Last Updated : 29 Dec, 2018 Summarize Comments Improve Suggest changes Share Like Article Like Report 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 Python3 # 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 Python3 # 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. Python3 # 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 Python3 # 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. Comment More infoAdvertise with us Next Article Python | Pandas DatetimeIndex.time S Shubham__Ranjan Follow Improve Article Tags : Technical Scripter Python Python-pandas Python pandas-datetimeIndex Practice Tags : python Similar Reads Python | Pandas DatetimeIndex.to_period() 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_period() function is used to cast the given DatetimeIndex to P 2 min read Python | Pandas DatetimeIndex.to_pydatetime() 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_pydatetime() function return DatetimeIndex as object ndarray o 2 min read Python | Pandas DatetimeIndex.time 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.time attribute outputs an Index object containing the time values 2 min read Python | Pandas DatetimeIndex.to_frame() 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_frame() function create a DataFrame with a column containing t 2 min read Python | Pandas DatetimeIndex.round() 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.round() function localize tz-naive DatetimeIndex to tz-aware Date 2 min read Python | Pandas DatetimeIndex.year 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.year attribute outputs an Index object containing the value of ye 2 min read Like