我知道有很多这种性质的问题,但我需要使用JavaScript来做到这一点。我使用Dojo 1.8并在数组中拥有所有属性信息,它看起来像这样:

[["name1", "city_name1", ...]["name2", "city_name2", ...]]

知道我如何在客户端将此导出为CSV吗?


当前回答

老问题,有很多好的答案,但这里有另一个简单的选择,它依赖于两个流行的库来完成。有些回答提到了Papa Parse,但在下载部分提供了自己的解决方案。结合Papa Parse和FileSaver.js,你可以尝试以下方法:

const dataString = Papa.unparse(data, config);
const blob = new Blob([dataString], { type: 'text/csv;charset=utf-8' });
FileSaver.saveAs(blob, 'myfile.csv');

这里描述了unparse的配置选项。

其他回答

下载CSV文件

  let csvContent = "data:text/csv;charset=utf-8,";
  rows.forEach(function (rowArray) {
    for (var i = 0, len = rowArray.length; i < len; i++) {
      if (typeof (rowArray[i]) == 'string')
        rowArray[i] = rowArray[i].replace(/<(?:.|\n)*?>/gm, '');
      rowArray[i] = rowArray[i].replace(/,/g, '');
    }

    let row = rowArray.join(",");
    csvContent += row + "\r\n"; // add carriage return
  });
  var encodedUri = encodeURI(csvContent);
  var link = document.createElement("a");
  link.setAttribute("href", encodedUri);
  link.setAttribute("download", "fileName.csv");
  document.body.appendChild(link);
  link.click();

从react-admin:

function downloadCsv(csv, filename) {
    const fakeLink = document.createElement('a');
    fakeLink.style.display = 'none';
    document.body.appendChild(fakeLink);
    const blob = new Blob([csv], { type: 'text/csv' });
    if (window.navigator && window.navigator.msSaveOrOpenBlob) {
        // Manage IE11+ & Edge
        window.navigator.msSaveOrOpenBlob(blob, `${filename}.csv`);
    } else {
        fakeLink.setAttribute('href', URL.createObjectURL(blob));
        fakeLink.setAttribute('download', `${filename}.csv`);
        fakeLink.click();
    }
};

downloadCsv('Hello World', 'any-file-name.csv');

就是这样:

<!doctype html>  
<html>  
<head></head>  
<body>
<a href='#' onclick='downloadCSV({ filename: "stock-data.csv" });'>Download CSV</a>

<script type="text/javascript">  
    var stockData = [
        {
            Symbol: "AAPL",
            Company: "Apple Inc.",
            Price: "132.54"
        },
        {
            Symbol: "INTC",
            Company: "Intel Corporation",
            Price: "33.45"
        },
        {
            Symbol: "GOOG",
            Company: "Google Inc",
            Price: "554.52"
        },
    ];

    function convertArrayOfObjectsToCSV(args) {
        var result, ctr, keys, columnDelimiter, lineDelimiter, data;

        data = args.data || null;
        if (data == null || !data.length) {
            return null;
        }

        columnDelimiter = args.columnDelimiter || ',';
        lineDelimiter = args.lineDelimiter || '\n';

        keys = Object.keys(data[0]);

        result = '';
        result += keys.join(columnDelimiter);
        result += lineDelimiter;

        data.forEach(function(item) {
            ctr = 0;
            keys.forEach(function(key) {
                if (ctr > 0) result += columnDelimiter;

                result += item[key];
                ctr++;
            });
            result += lineDelimiter;
        });

        return result;
    }

    window.downloadCSV = function(args) {
        var data, filename, link;

        var csv = convertArrayOfObjectsToCSV({
            data: stockData
        });
        if (csv == null) return;

        filename = args.filename || 'export.csv';

        if (!csv.match(/^data:text\/csv/i)) {
            csv = 'data:text/csv;charset=utf-8,' + csv;
        }
        data = encodeURI(csv);

        link = document.createElement('a');
        link.setAttribute('href', data);
        link.setAttribute('download', filename);
        document.body.appendChild(link);
        link.click();
        document.body.removeChild(link);
       }
</script>  
</body>  
</html>  

如果你正在寻找一个真正快速的解决方案,你也可以给这个小库一个机会,它将为你创建和下载CSV文件:https://github.com/mbrn/filefy

用法非常简单:

import { CsvBuilder } from 'filefy';

var csvBuilder = new CsvBuilder("user_list.csv")
  .setColumns(["name", "surname"])
  .addRow(["Eve", "Holt"])
  .addRows([
    ["Charles", "Morris"],
    ["Tracey", "Ramos"]
  ])
  .exportFile();

适用于所有语言

        function convertToCsv(fName, rows) {
        var csv = '';
        for (var i = 0; i < rows.length; i++) {
            var row = rows[i];
            for (var j = 0; j < row.length; j++) {
                var val = row[j] === null ? '' : row[j].toString();
                val = val.replace(/\t/gi, " ");
                if (j > 0)
                    csv += '\t';
                csv += val;
            }
            csv += '\n';
        }

        // for UTF-16
        var cCode, bArr = [];
        bArr.push(255, 254);
        for (var i = 0; i < csv.length; ++i) {
            cCode = csv.charCodeAt(i);
            bArr.push(cCode & 0xff);
            bArr.push(cCode / 256 >>> 0);
        }

        var blob = new Blob([new Uint8Array(bArr)], { type: 'text/csv;charset=UTF-16LE;' });
        if (navigator.msSaveBlob) {
            navigator.msSaveBlob(blob, fName);
        } else {
            var link = document.createElement("a");
            if (link.download !== undefined) {
                var url = window.URL.createObjectURL(blob);
                link.setAttribute("href", url);
                link.setAttribute("download", fName);
                link.style.visibility = 'hidden';
                document.body.appendChild(link);
                link.click();
                document.body.removeChild(link);
                window.URL.revokeObjectURL(url);
            }
        }
    }



    convertToCsv('download.csv', [
        ['Order', 'Language'],
        ['1', 'English'],
        ['2', 'Español'],
        ['3', 'Français'],
        ['4', 'Português'],
        ['5', 'čeština'],
        ['6', 'Slovenščina'],
        ['7', 'Tiếng Việt'],
        ['8', 'Türkçe'],
        ['9', 'Norsk bokmål'],
        ['10', 'Ελληνικά'],
        ['11', 'беларускі'],
        ['12', 'русский'],
        ['13', 'Українська'],
        ['14', 'հայերեն'],
        ['15', 'עִברִית'],
        ['16', 'اردو'],
        ['17', 'नेपाली'],
        ['18', 'हिंदी'],
        ['19', 'ไทย'],
        ['20', 'ქართული'],
        ['21', '中国'],
        ['22', '한국어'],
        ['23', '日本語'],
    ])