Python Pandas PeriodIndex - PeriodArray를 지정된 빈도로 변환

PeriodArray를 지정된 빈도로 변환하려면 periodIndex.asfreq()를 사용하세요. 방법.

먼저 필요한 라이브러리를 가져옵니다 -

import pandas as pd

PeriodIndex 객체 생성 -

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")

PeriodIndex 개체 표시 -

print("PeriodIndex...\n", periodIndex)

지정된 주파수로 변환합니다. 주파수를 asfreq() −

print("\nConvert..\n", periodIndex.asfreq('M'))

예시

다음은 코드입니다 -

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'))

출력

이것은 다음 코드를 생성합니다 -

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]')