有没有一种简单的方法可以根据不同的条件过滤json数据答案

【问题标题】：is there a simply way through which i can filter json data based on different conditions有没有一种简单的方法可以根据不同的条件过滤json数据
【发布时间】：2019-10-07 21:10:55
【问题描述】：

我收到以下数据作为我的一项网络服务的响应。我想根据不同值的几种组合过滤数据。什么是最简单的方法，它会影响我的网络服务的性能

数据：我正在获取对象数组

[
    {
        "source": "9606.ENSP00000000233",
        "target": "9606.ENSP00000366563",
        "relationship": "ON_INTERACTION_WITH",
        "relationshipdetails": {
            "database4": "0",
            "database3": "0",
            "coexpression2": "42",
            "coexpression3": "42",
            "experimental": "174",
            "database2": "0",
            "combinedscore3": "298",
            "combinedscore4": "298",
            "experimental2": "174",
            "combinedscore": "298",
            "database": "0",
            "combinedscore2": "298",
            "experimental3": "174",
            "experimental4": "174",
            "coexpression4": "42",
            "textmining3": "184",
            "coexpression": "42",
            "textmining4": "184",
            "textmining2": "184",
            "textmining": "184"
        }
    },
    {
        "source": "9606.ENSP00000000233",
        "target": "9606.ENSP00000402551",
        "relationship": "ON_INTERACTION_WITH",
        "relationshipdetails": {
            "database4": "0",
            "database3": "0",
            "coexpression2": "148",
            "coexpression3": "148",
            "experimental": "138",
            "database2": "0",
            "combinedscore3": "247",
            "combinedscore4": "247",
            "experimental2": "138",
            "combinedscore": "247",
            "database": "0",
            "combinedscore2": "247",
            "experimental3": "138",
            "experimental4": "138",
            "coexpression4": "148",
            "textmining3": "57",
            "coexpression": "148",
            "textmining4": "57",
            "textmining2": "57",
            "textmining": "57"
        }
    },
    {
        "source": "9606.ENSP00000000233",
        "target": "9606.ENSP00000386239",
        "relationship": "ON_INTERACTION_WITH",
        "relationshipdetails": {
            "database4": "0",
            "database3": "0",
            "coexpression2": "49",
            "coexpression3": "49",
            "experimental": "120",
            "database2": "0",
            "combinedscore3": "190",
            "combinedscore4": "190",
            "experimental2": "120",
            "combinedscore": "190",
            "database": "0",
            "combinedscore2": "190",
            "experimental3": "120",
            "experimental4": "120",
            "coexpression4": "49",
            "textmining3": "110",
            "coexpression": "49",
            "textmining4": "110",
            "textmining2": "110",
            "textmining": "110"
        }
    }
]

条件：where textmining >/</= 100 and coexpression >/</= 30 and combinedscore >/</= 250 数据必须根据大于/等于/小于条件的 5 个过滤器值（文本挖掘、共表达、实验、数据库和组合分数）进行过滤，所有这些都必须用作输入。

【问题讨论】：

请更具体。你在过滤什么？举几个输入输出的例子。
条件是什么？更清楚。 >/// 是什么意思？
这是一个对象数组。你可以使用Array.prototype.filter 做你想做的事。
顺便说一句，那些不是对象，它是 JSON @Archer
@Kevin.a JSON 是一种文本格式。一旦你从任何地方获取数据，它就是一个对象数组。

标签： javascript node.js express filter

【解决方案1】：

这取决于你想在数组上 execute 的 specific 逻辑。
但通常获取值和比较值我认为更好的选择是循环。

性能方面

见more detail here

【讨论】：

【解决方案2】：

const arr = [
    {
        "source": "9606.ENSP00000000233",
        "target": "9606.ENSP00000366563",
        "relationship": "ON_INTERACTION_WITH",
        "relationshipdetails": {
            "database4": "0",
            "database3": "0",
            "coexpression2": "42",
            "coexpression3": "42",
            "experimental": "174",
            "database2": "0",
            "combinedscore3": "298",
            "combinedscore4": "298",
            "experimental2": "174",
            "combinedscore": "298",
            "database": "0",
            "combinedscore2": "298",
            "experimental3": "174",
            "experimental4": "174",
            "coexpression4": "42",
            "textmining3": "184",
            "coexpression": "42",
            "textmining4": "184",
            "textmining2": "184",
            "textmining": "184"
        }
    },
    {
        "source": "9606.ENSP00000000233",
        "target": "9606.ENSP00000402551",
        "relationship": "ON_INTERACTION_WITH",
        "relationshipdetails": {
            "database4": "0",
            "database3": "0",
            "coexpression2": "148",
            "coexpression3": "148",
            "experimental": "138",
            "database2": "0",
            "combinedscore3": "247",
            "combinedscore4": "247",
            "experimental2": "138",
            "combinedscore": "247",
            "database": "0",
            "combinedscore2": "247",
            "experimental3": "138",
            "experimental4": "138",
            "coexpression4": "148",
            "textmining3": "57",
            "coexpression": "148",
            "textmining4": "57",
            "textmining2": "57",
            "textmining": "57"
        }
    },
    {
        "source": "9606.ENSP00000000233",
        "target": "9606.ENSP00000386239",
        "relationship": "ON_INTERACTION_WITH",
        "relationshipdetails": {
            "database4": "0",
            "database3": "0",
            "coexpression2": "49",
            "coexpression3": "49",
            "experimental": "120",
            "database2": "0",
            "combinedscore3": "190",
            "combinedscore4": "190",
            "experimental2": "120",
            "combinedscore": "190",
            "database": "0",
            "combinedscore2": "190",
            "experimental3": "120",
            "experimental4": "120",
            "coexpression4": "49",
            "textmining3": "110",
            "coexpression": "49",
            "textmining4": "110",
            "textmining2": "110",
            "textmining": "110"
        }
    }
] ; 

console.log(arr.filter(entry => entry.relationshipdetails.textmining > 110 ))

使用过滤器。在我的示例中，我过滤了小于 110 的所有内容。使用 Array.prototype.filter 您可以使用我给出的示例将其应用于其余部分

理想情况下，您会将这些结果存储到一个变量中。为了解释起见，我只是记录它。

【讨论】：

有什么我可以解释得更好的吗？

【解决方案3】：

您可以使用过滤器，只需添加所需的比较和逻辑以返回真或假

var data = [
    {
        "source": "9606.ENSP00000000233",
        "target": "9606.ENSP00000366563",
        "relationship": "ON_INTERACTION_WITH",
        "relationshipdetails": {
            "database4": "0",
            "database3": "0",
            "coexpression2": "42",
            "coexpression3": "42",
            "experimental": "174",
            "database2": "0",
            "combinedscore3": "298",
            "combinedscore4": "298",
            "experimental2": "174",
            "combinedscore": "298",
            "database": "0",
            "combinedscore2": "298",
            "experimental3": "174",
            "experimental4": "174",
            "coexpression4": "42",
            "textmining3": "184",
            "coexpression": "42",
            "textmining4": "184",
            "textmining2": "184",
            "textmining": "184"
        }
    },
    {
        "source": "9606.ENSP00000000233",
        "target": "9606.ENSP00000402551",
        "relationship": "ON_INTERACTION_WITH",
        "relationshipdetails": {
            "database4": "0",
            "database3": "0",
            "coexpression2": "148",
            "coexpression3": "148",
            "experimental": "138",
            "database2": "0",
            "combinedscore3": "247",
            "combinedscore4": "247",
            "experimental2": "138",
            "combinedscore": "247",
            "database": "0",
            "combinedscore2": "247",
            "experimental3": "138",
            "experimental4": "138",
            "coexpression4": "148",
            "textmining3": "57",
            "coexpression": "148",
            "textmining4": "57",
            "textmining2": "57",
            "textmining": "57"
        }
    },
    {
        "source": "9606.ENSP00000000233",
        "target": "9606.ENSP00000386239",
        "relationship": "ON_INTERACTION_WITH",
        "relationshipdetails": {
            "database4": "0",
            "database3": "0",
            "coexpression2": "49",
            "coexpression3": "49",
            "experimental": "120",
            "database2": "0",
            "combinedscore3": "190",
            "combinedscore4": "190",
            "experimental2": "120",
            "combinedscore": "190",
            "database": "0",
            "combinedscore2": "190",
            "experimental3": "120",
            "experimental4": "120",
            "coexpression4": "49",
            "textmining3": "110",
            "coexpression": "49",
            "textmining4": "110",
            "textmining2": "110",
            "textmining": "110"
        }
    }
]

var filtered = data.filter((entry) => {
  if (!('relationshipdetails' in entry)) return false
  return (entry.relationshipdetails.textmining > 100 && entry.relationshipdetails.coexpression < 50)
});

console.log(filtered);

【讨论】：

【解决方案4】：

给定输入对象input和条件textmining > 100和coexpression < 30：

var result = input .filter (entry => entry ["relationshipdetails"] ["textmining"] > 100) .filter (entry => entry ["relationshipdetails"] ["coexpression"] < 30); // etc...

（见the MDN docs on Array.prototype.filter。）

【讨论】：