I would recommend using a library like PapaParse: https://github.com/mholt/PapaParse

The accepted answer currently has multiple issues including:

• it fails if the data contains a comma
• it fails if the data contains a linebreak
• it (kind of) fails if the data contains a quotation mark

这里有很多将数据转换为CSV的自带解决方案，但是几乎所有这些解决方案在正确格式化数据类型方面都会有各种警告，而不会引起Excel或类似问题。

Why not use something proven: Papa Parse

Papa.unparse(data[, config])

Then just combine this with one of the local download solutions here eg. the one by @ArneHB looks good.

您可以使用下面的代码使用Javascript将数组导出到CSV文件。

这也处理特殊字符部分

var arrayContent = [["Séjour 1, é,í,ú,ü,ű"],["Séjour 2, é,í,ú,ü,ű"]];
var csvContent = arrayContent.join("\n");
var link = window.document.createElement("a");
link.setAttribute("href", "data:text/csv;charset=utf-8,%EF%BB%BF" + encodeURI(csvContent));
link.setAttribute("download", "upload_data.csv");
link.click(); 

这是工作jsfiddle的链接

@Default的解决方案在Chrome上运行完美（非常感谢！），但是IE出现问题。

这是一个解决方案（适用于IE10）：

var csvContent=data; //here we load our csv data 
var blob = new Blob([csvContent],{
    type: "text/csv;charset=utf-8;"
});

navigator.msSaveBlob(blob, "filename.csv")

您可以使用本机JavaScript执行此操作。您必须这样将数据解析为正确的CSV格式（假设您正在使用问题中所描述的数组数组）：

const rows = [
    ["name1", "city1", "some other info"],
    ["name2", "city2", "more info"]
];

let csvContent = "data:text/csv;charset=utf-8,";

rows.forEach(function(rowArray) {
    let row = rowArray.join(",");
    csvContent += row + "\r\n";
});

或更短的方法（使用箭头功能）：

const rows = [
    ["name1", "city1", "some other info"],
    ["name2", "city2", "more info"]
];

let csvContent = "data:text/csv;charset=utf-8," 
    + rows.map(e => e.join(",")).join("\n");

然后，您可以使用JavaScript window.open和encodeURI函数下载CSV文件，如下所示：

var encodedUri = encodeURI(csvContent);
window.open(encodedUri);

编辑：

var encodedUri = encodeURI(csvContent);
var link = document.createElement("a");
link.setAttribute("href", encodedUri);
link.setAttribute("download", "my_data.csv");
document.body.appendChild(link); // Required for FF

link.click(); // This will download the data file named "my_data.csv".