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描述
⋅ Library "FunctionBestFitFrequency"
TODO: add library description here
array_moving_average(sample, length, ommit_initial, fillna) Moving Average values for selected data.
Parameters:
- sample: float array, sample data values.
- length: int, length to smooth the data.
- ommit_initial: bool, default=true, ommit values at the start of the data under the length.
- fillna: string, default='na', options='na', '0', 'avg'
Returns: float array
errors:
length > sample size "Canot call array methods when id of array is na."
best_fit_frequency(sample, start, end) Search a frequency range for the fairest moving average frequency.
Parameters:
- sample: float array, sample data to based the moving averages.
- start: int lowest frequency.
- end: int highest frequency.
Returns: tuple with (int frequency, float percentage)