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For循环逻辑通过查看未来点值来标记一系列数据点的趋势类型

来源：stackoverflow 2024-04-29 14:45:33 0浏览收藏

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问题内容

我正在使用一个 for 循环来遍历一系列数据点，并找出如何对数据显示的趋势进行分类

以下是标记点的逻辑：

如果连续 6 个点有下降/上升趋势，则标记为“下降趋势”/“上升趋势”
否则，如果连续 7 个点低于/高于平均值，则标记为“低于平均值”/“高于平均值”

我们优先考虑增加/减少趋势而不是低于或高于平均值

我认为我使用的逻辑是不正确的，但我不确定为什么。这是该系列句子中的一些逻辑：

“对于每个点，如果接下来的 5 个点低于该点，然后是其前一个点，则将所有这些点标记为“下降趋势”。否则，如果某个点未标记为趋势，请查看该点中的以下 6 个点是否点都高于或低于平均值”

您可以将其全部复制并粘贴：

package main

import (
"bufio"
"fmt"
"os"
"strings"
)

type points struct {
    quantity   float64
    lowerbound float64
    upperbound float64
    mean       float64
    pattern    string
}

func main() {

var pointstouse = []points{
    points{quantity: 3.5, lowerbound: 1, upperbound: 4.8,, mean: 4, pattern: "common variation"},

    points{
        quantity:   3.4,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },

    points{
        quantity:   3.2,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },

    points{
        quantity:   3.19,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },

    points{
        quantity:   3.17,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },

    points{
        quantity:   3.14,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },

    points{
        quantity:   3.12,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },

    points{
        quantity:   3.09,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },

    points{
        quantity:   4.1,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },

    points{
        quantity:   3.16,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },

    points{
        quantity:   3,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },
    points{
        quantity:   3,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },
    points{
        quantity:   3.11,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },
    points{
        quantity:   3.12,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },
    points{
        quantity:   3.14,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },
    points{
        quantity:   3.13,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "common variation",
    },
    points{
        quantity:   3.17,
        lowerbound: 3,
        upperbound: 4.8,
        mean:       4,
        pattern:    "commons variation",
    },
}

for i, point := range pointstouse {

    if len(pointstouse) >= 6 && len(pointstouse)-(i+1) >= 5 {
        if point.quantity > pointstouse[i+1].quantity && pointstouse[i+1].quantity > pointstouse[i+2].quantity && pointstouse[i+2].quantity > pointstouse[i+3].quantity && pointstouse[i+3].quantity > pointstouse[i+4].quantity && pointstouse[i+4].quantity > pointstouse[i+5].quantity {
            point.pattern = "decreasing trend"
            pointstouse[i+1].pattern = "decreasing trend"
            pointstouse[i+2].pattern = "decreasing trend"
            pointstouse[i+3].pattern = "decreasing trend"
            pointstouse[i+4].pattern = "decreasing trend"
            pointstouse[i+5].pattern = "decreasing trend"
            continue
        } else if point.quantity < pointstouse[i+1].quantity && pointstouse[i+1].quantity < pointstouse[i+2].quantity && pointstouse[i+2].quantity < pointstouse[i+3].quantity && pointstouse[i+3].quantity < pointstouse[i+4].quantity && pointstouse[i+4].quantity < pointstouse[i+5].quantity {
            point.pattern = "increasing trend"
            pointstouse[i+1].pattern = "increasing trend"
            pointstouse[i+2].pattern = "increasing trend"
            pointstouse[i+3].pattern = "increasing trend"
            pointstouse[i+4].pattern = "increasing trend"
            pointstouse[i+5].pattern = "increasing trend"
            continue
        }
    }
    if (point.pattern != "decreasing trend" || point.pattern != "increasing trend") && len(pointstouse)-(i+1) >= 6 {
        if point.quantity < pointstouse[i].mean && pointstouse[i+1].quantity < pointstouse[i].mean && pointstouse[i].quantity < pointstouse[i].mean && pointstouse[i+3].quantity < pointstouse[i].mean && pointstouse[i+4].quantity < pointstouse[i].mean && pointstouse[i+5].quantity < pointstouse[i].mean && pointstouse[i+6].quantity < pointstouse[i].mean {
            pointstouse[i].pattern = "below mean"
            pointstouse[i+1].pattern = "below mean"
            pointstouse[i+2].pattern = "below mean"
            pointstouse[i+3].pattern = "below mean"
            pointstouse[i+4].pattern = "below mean"
            pointstouse[i+5].pattern = "below mean"
            pointstouse[i+6].pattern = "below mean"
        } else if point.quantity > pointstouse[i].mean && pointstouse[i+1].quantity > pointstouse[i].mean && pointstouse[i].quantity > pointstouse[i].mean && pointstouse[i+3].quantity > pointstouse[i].mean && pointstouse[i+4].quantity > pointstouse[i].mean && pointstouse[i+5].quantity < pointstouse[i].mean && pointstouse[i+6].quantity < pointstouse[i].mean {
            pointstouse[i].pattern = "above mean"
            pointstouse[i+1].pattern = "above mean"
            pointstouse[i+2].pattern = "above mean"
            pointstouse[i+3].pattern = "above mean"
            pointstouse[i+4].pattern = "above mean"
            pointstouse[i+5].pattern = "above mean"
            pointstouse[i+6].pattern = "above mean"
        }
    }
}

fmt.println(pointstouse)
}

我需要显示的输出是这样的：

3.50 | Decreasing Trend
3.40 | Decreasing Trend
3.20 | Decreasing Trend
3.19 | Decreasing Trend
3.17 | Decreasing Trend
3.14 | Decreasing Trend
3.12 | Decreasing Trend
3.09 | Decreasing Trend
4.1 | Common Variation
3.16 | Below Mean
3.00 | Below Mean
3.00 | Below Mean
3.11 | Below Mean
3.12 | Below Mean
3.14 | Below Mean
3.13 | Below Mean
3.17 | Below Mean

有人可以确定我哪里出了问题吗？