rustalib 1.0.9

A library of technical indicators for financial analysis, similar to TA-Lib
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use polars::prelude::*;

/// Placeholder for Hilbert Transform - Phasor Components
///
/// # Arguments
///
/// * `df` - DataFrame containing the price data
/// * `column` - Column name to use for calculations (default "close")
///
/// # Returns
///
/// Returns a PolarsResult containing the tuple of (inphase, quadrature) Series
pub fn calculate_ht_phasor(df: &DataFrame, column: &str) -> PolarsResult<(Series, Series)> {
    let series = df.column(column)?.f64()?.clone();
    let mut inphase = Vec::with_capacity(series.len());
    let mut quadrature = Vec::with_capacity(series.len());

    // Just return NaN values for all points as placeholder
    for _ in 0..series.len() {
        inphase.push(f64::NAN);
        quadrature.push(f64::NAN);
    }

    Ok((
        Series::new("inphase".into(), inphase),
        Series::new("quadrature".into(), quadrature),
    ))
}