Python | Pandas DatetimeIndex.floor()
Last Updated :
29 Dec, 2018
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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
Python3
Output :
Now we want to floor the second based frequency of the DatetimeIndex object to minute based frequency
Python3
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
Python3
Output :
Now we want to floor the minute based frequency of the DatetimeIndex object to hour based frequency
Python3
Output :
As we can see in the output, the function has floored the values of the DatetimeIndex object to the desired frequency.
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 ‘S’ (second) not ‘ME’ (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.
# 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)

# convert to the passed frequency
# 'T' represents minute based frequency
didx.floor('T')

DatetimeIndex.floor()
function to floor the data of the DatetimeIndex object to the specified frequency.
# 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)

# floor minute based frequency to hour based frequency
didx.floor('H')
