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Python Pandas - Return the string alias of the Time series frequency applied on the given Period object
To return the string alias of the Time series frequency applied on the given Period object, use the period.freqstr property.
At first, import the required libraries −
import pandas as pd
The pandas.Period represents a period of time. Creating two Period objects −
period1 = pd.Period("2020-09-23 03:55:20")
period2 = pd.Period(freq="Y", year = 2021, month = 2, day = 14, hour = 2, minute = 35)Display the Period objects −
print("Period1...\n", period1)
print("Period2...\n", period2)Get the string alias of the frequency −
res1 = period1.freqstr res2 = period2.freqstr
Example
Following is the code −
import pandas as pd
# The pandas.Period represents a period of time
# creating two Period objects
period1 = pd.Period("2020-09-23 03:55:20")
period2 = pd.Period(freq="Y", year = 2021, month = 2, day = 14, hour = 2, minute = 35)
# display the Period objects
print("Period1...\n", period1)
print("Period2...\n", period2)
# get the string alias of the frequency
res1 = period1.freqstr
res2 = period2.freqstr
# Return the string alias of the frequency from two Period objects
print("\nString alias of the frequency from the 1st Period object ...\n", res1)
print("\nString alias of the frequency from the 2nd Period object ...\n", res2)Output
This will produce the following code −
Period1... 2020-09-23 03:55:20 Period2... 2021 String alias of the frequency from the 1st Period object ... <Second> String alias of the frequency from the 2nd Period object ... <YearEnd: month=12>
Updated on: 14-Oct-2021
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