okama.Inflation.set_values_monthly

Inflation.set_values_monthly(date, value)

Set monthly value for the past or future date.

The date should be in month period format (“2023-12”). T The result stored only in the class instance. It can be used to analyze inflation with forecast or corrected data.

Examples

>>> infl = ok.Inflation('USD.INFL', last_date='2022-04')
>>> infl.values_monthly.tail()  # last 5 months statistics
date
2021-12    0.0031
2022-01    0.0084
2022-02    0.0091
2022-03    0.0134
2022-04    0.0056
Freq: M, Name: USD.INFL, dtype: float64
>>> infl.set_values_monthly(date='2024-05', value=0.09)  # set forecasted inflation value
>>> infl.values_monthly.tail()  # check the statistics again (May data is available now)
date
2022-01    0.0084
2022-02    0.0091
2022-03    0.0134
2022-04    0.0056
2024-05    0.0900
Freq: M, Name: USD.INFL, dtype: float64