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Python Pandas PeriodIndex - Convert the PeriodArray to the specified frequency
To convert the PeriodArray to the specified frequency, use the periodIndex.asfreq() method.
At first, import the required libraries −
import pandas as pd
Create a PeriodIndex object −
periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2020-07-15 02:55:15', '2022-06-25 09:40:55'], freq="Y")
Display PeriodIndex object −
print("PeriodIndex...\n", periodIndex)
Convert to the specified frequency. We have set the frequency as the parameter of the asfreq() −
print("\nConvert..\n", periodIndex.asfreq('M'))
Example
Following is the code −
import pandas as pd # Create a PeriodIndex object # PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods in time # We have set the frequency using the "freq" parameter periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2020-07-15 02:55:15', '2022-06-25 09:40:55'], freq="Y") # Display PeriodIndex object print("PeriodIndex...\n", periodIndex) # Display PeriodIndex frequency print("\nPeriodIndex frequency object...\n", periodIndex.freq) # Display PeriodIndex frequency as string print("\nPeriodIndex frequency object as a string...\n", periodIndex.freqstr) # Convert to the specified frequency # We have set the frequency as the parameter of the asfreq() print("\nConvert..\n", periodIndex.asfreq('M'))
Output
This will produce the following code −
PeriodIndex... PeriodIndex(['2021', '2019', '2020', '2022'], dtype='period[A-DEC]') PeriodIndex frequency object... <YearEnd: month=12> PeriodIndex frequency object as a string... A-DEC Convert.. PeriodIndex(['2021-12', '2019-12', '2020-12', '2022-12'], dtype='period[M]')
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