出现错误并且不知道如何解决它 - 使用了“float[]”类型的参数，但需要“series float”

Question

我在编译 Tradingview Pine 脚本 5 时遇到此错误

无法使用参数“expr0”=“调用“operator SQBR”(float[])”来调用“operator *”。使用了“float[]”类型的参数，但需要“系列浮点数”。

我知道问题出在这两行中，因为我将数组乘以一个不正确的值，并且我需要将浮点转换为系列，但我不知道做什么以及如何做到这一点：

# forward_error += autocorrelation[i] * array.get(ar_coefficients, i - iter)
# backward_error += autocorrelation[i - iter] * array.get(ar_coefficients, i)

// Autoregressive function using Burg method
    source = input.source(close, "Source")
    order = input.int(2, "Order")
    lookback = input.int(100, "Lookback", minval = 2)

// Step 1: Calculate Autocorrelation Function (ACF)
    autocorrelation = array.new_float(lookback)
    for lag = 0 to lookback - 1
        correlation = ta.correlation(close, source[lag], lengthBB)
        array.push(autocorrelation, correlation)

// Step 2: Initialize Coefficients
    ar_coefficients = array.new_float(order + 1)
    array.push(ar_coefficients, 1.0) // Initialize first coefficient as 1

// Step 3: Iterative Calculation (Burg algorithm)
    for iter = 1 to order
        forward_error = 1.0
        backward_error = -1.0
    
    for i = iter to lookback - 1
        forward_error += autocorrelation[i] * array.get(ar_coefficients, i - iter)
        backward_error += autocorrelation[i - iter] * array.get(ar_coefficients, i)
    
    // Avoid division by zero
    if backward_error != 0.0
        reflection_coefficient = -2.0 * forward_error / backward_error
        // Update coefficients using Burg recursion formula
        temp_coefficients = array.new_float(order + 1)
        array.push(temp_coefficients, 1.0) // First coefficient remains 1
        
        for i = 1 to iter
            coefficient = array.get(ar_coefficients, i) + reflection_coefficient *    array.get(ar_coefficients, iter - i + 1)
            array.push(temp_coefficients, coefficient)
        
        ar_coefficients := temp_coefficients

// Calculate autoregressive values
    hlc3_series = (hlc3)
    autoregressive_values = array.new_float(lookback)
    for i = 0 to lookback - 1
    value = 0.0
    for j = 1 to order
        // Perform element-wise multiplication and addition
        value += array.get(ar_coefficients, j) * hlc3_series[i - j]
    array.push(autoregressive_values, value)

// Plot autoregressive values
    for i = 0 to lookback - 1
    // Plot individual autocorrelation values
    plot(array.get(autocorrelation, i), color=color.purple, title="Autocorrelation Values")

我尝试将浮点更改为系列，但无论我输入什么语法，我总是会遇到更多错误 如何将浮点数组转换为系列？`

Answer 1

autocorrelation

是一个数组。您无法通过

autocorrelation[i]

来访问其元素。

您需要像在其他地方一样使用

array.get()

函数。