Python | Pandas DatetimeIndex.floor() 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.floor() function floor the data to the specified frequency. The function takes the target frequency as input. It returns a new DatetimeIndex object. Syntax: DatetimeIndex.floor(freq) Parameters : freq : The frequency level to floor the index to. Must be a fixed frequency like βSβ (second) not βMEβ (month end). Return : Index of the same type for a DatetimeIndex or TimedeltaIndex, or a Series with the same index for a Series. Example #1: Use DatetimeIndex.floor() function to floor the data of the DatetimeIndex object to the specified frequency. Python3 # importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here 'S' represents secondly frequency didx = pd.DatetimeIndex(start ='2000-01-15 08:00', freq ='S', periods = 4) # Print the DatetimeIndex print(didx) Output : Now we want to floor the second based frequency of the DatetimeIndex object to minute based frequency Python3 # convert to the passed frequency # 'T' represents minute based frequency didx.floor('T') Output : As we can see in the output, the function has floored the values of the DatetimeIndex object to the desired frequency. Example #2: Use DatetimeIndex.floor() function to floor the data of the DatetimeIndex object to the specified frequency. Python3 # importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here 'T' represents minutely frequency didx = pd.DatetimeIndex(start ='2000-01-15 08:00', freq ='T', periods = 4) # Print the DatetimeIndex print(didx) Output : Now we want to floor the minute based frequency of the DatetimeIndex object to hour based frequency Python3 # floor minute based frequency to hour based frequency didx.floor('H') Output : As we can see in the output, the function has floored the values of the DatetimeIndex object to the desired frequency. Comment More infoAdvertise with us Next Article Python | Pandas DatetimeIndex.hour S Shubham__Ranjan Follow Improve Article Tags : Technical Scripter Python Python-pandas Python pandas-datetimeIndex Practice Tags : python Similar Reads Python | Pandas DatetimeIndex.hour 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.hour attribute outputs an Index object containing the hour values 2 min read Python | Pandas DatetimeIndex.day 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.day attribute outputs an Index object containing the days in each 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.normalize() 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.normalize() function convert times to midnight. The time componen 2 min read Python | Pandas DatetimeIndex.dayofyear 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.dayofyear attribute outputs the ordinal value of the day of the y 2 min read Python | Pandas DatetimeIndex.nanosecond 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.nanosecond attribute outputs an Index object containing the nanos 2 min read Like