js读取csv数据线（js 读取csv）

更新： 2022-11-11 19:11

本文目录一览：

1. javascript 读取csv文件
2. 如何用JS或Ajax读取csv文件
3. JavaScript 如何读取数据库CSV文件，然后再Cesium中运用其中两列
4. javascript怎么修改csv文件
5. d3.js怎么处理.csv文件

javascript 读取csv文件

js读取CSV格式数据，参考如下：

// This will parse a delimited string into an array of
// arrays. The default delimiter is the comma, but this
// can be overriden in the second argument.
function CSVToArray( strData, strDelimiter ){
    // Check to see if the delimiter is defined. If not,
    // then default to comma.
    strDelimiter = (strDelimiter || ",");
    // Create a regular expression to parse the CSV values.
    var objPattern = new RegExp(
        (
            // Delimiters.
            "(\\" + strDelimiter + "|\\r?\\n|\\r|^)" +
            // Quoted fields.
            "(?:\"([^\"]*(?:\"\"[^\"]*)*)\"|" +
            // Standard fields.
            "([^\"\\" + strDelimiter + "\\r\\n]*))"
        ),
        "gi"
    );
    // Create an array to hold our data. Give the array
    // a default empty first row.
    var arrData = [[]];
    // Create an array to hold our individual pattern
    // matching groups.
    var arrMatches = null;
    // Keep looping over the regular expression matches
    // until we can no longer find a match.
    while (arrMatches = objPattern.exec( strData )){
        // Get the delimiter that was found.
        var strMatchedDelimiter = arrMatches[ 1 ];
        // Check to see if the given delimiter has a length
        // (is not the start of string) and if it matches
        // field delimiter. If id does not, then we know
        // that this delimiter is a row delimiter.
        if (
            strMatchedDelimiter.length &&
            (strMatchedDelimiter != strDelimiter)
        ){
            // Since we have reached a new row of data,
            // add an empty row to our data array.
            arrData.push( [] );
        }
        // Now that we have our delimiter out of the way,
        // let's check to see which kind of value we
        // captured (quoted or unquoted).
        if (arrMatches[ 2 ]){
            // We found a quoted value. When we capture
            // this value, unescape any double quotes.
            var strMatchedValue = arrMatches[ 2 ].replace(
                new RegExp( "\"\"", "g" ),
                "\""
            );
        } else {
            // We found a non-quoted value.
            var strMatchedValue = arrMatches[ 3 ];
        }
        // Now that we have our value string, let's add
        // it to the data array.
        arrData[ arrData.length - 1 ].push( strMatchedValue );
    }
    // Return the parsed data.
    return( arrData );
}

如何用JS或Ajax读取csv文件

JS不能直接读取CSV格式的文件，如果硬要读，只能按照text的格式来读，然后根据逗号或者什么进行分组。

JavaScript 如何读取数据库CSV文件，然后再Cesium中运用其中两列

兼容性好点就发送内容到服务器，又服务器处理，设置"Content-Disposition

javascript怎么修改csv文件

如果是基于浏览器,那就不能修改。 js读取CSV格式数据，参考如下：

// This will parse a delimited string into an array of
// arrays. The default delimiter is the comma, but this
// can be overriden in the second argument.
function CSVToArray( strData, strDelimiter ){
    // Check to see if the delimiter is defined. If not,
    // then default to comma.
    strDelimiter = (strDelimiter || ",");
    // Create a regular expression to parse the CSV values.
    var objPattern = new RegExp(
        (
            // Delimiters.
            "(\\" + strDelimiter + "|\\r?\\n|\\r|^)" +
            // Quoted fields.
            "(?:\"([^\"]*(?:\"\"[^\"]*)*)\"|" +
            // Standard fields.
            "([^\"\\" + strDelimiter + "\\r\\n]*))"
        ),
        "gi"
    );
    // Create an array to hold our data. Give the array
    // a default empty first row.
    var arrData = [[]];
    // Create an array to hold our individual pattern
    // matching groups.
    var arrMatches = null;
    // Keep looping over the regular expression matches
    // until we can no longer find a match.
    while (arrMatches = objPattern.exec( strData )){
        // Get the delimiter that was found.
        var strMatchedDelimiter = arrMatches[ 1 ];
        // Check to see if the given delimiter has a length
        // (is not the start of string) and if it matches
        // field delimiter. If id does not, then we know
        // that this delimiter is a row delimiter.
        if (
            strMatchedDelimiter.length &&
            (strMatchedDelimiter != strDelimiter)
        ){
            // Since we have reached a new row of data,
            // add an empty row to our data array.
            arrData.push( [] );
        }
        // Now that we have our delimiter out of the way,
        // let's check to see which kind of value we
        // captured (quoted or unquoted).
        if (arrMatches[ 2 ]){
            // We found a quoted value. When we capture
            // this value, unescape any double quotes.
            var strMatchedValue = arrMatches[ 2 ].replace(
                new RegExp( "\"\"", "g" ),
                "\""
            );
        } else {
            // We found a non-quoted value.
            var strMatchedValue = arrMatches[ 3 ];
        }
        // Now that we have our value string, let's add
        // it to the data array.
        arrData[ arrData.length - 1 ].push( strMatchedValue );
    }
    // Return the parsed data.
    return( arrData );
}

d3.js怎么处理.csv文件

如果是基于浏览器,那就不能修改。 js读取CSV格式数据，参考如下：

// This will parse a delimited string into an array of
// arrays. The default delimiter is the comma, but this
// can be overriden in the second argument.
function CSVToArray( strData, strDelimiter ){
    // Check to see if the delimiter is defined. If not,
    // then default to comma.
    strDelimiter = (strDelimiter || ",");
    // Create a regular expression to parse the CSV values.
    var objPattern = new RegExp(
        (
            // Delimiters.
            "(\\" + strDelimiter + "|\\r?\\n|\\r|^)" +
            // Quoted fields.
            "(?:\"([^\"]*(?:\"\"[^\"]*)*)\"|" +
            // Standard fields.
            "([^\"\\" + strDelimiter + "\\r\\n]*))"
        ),
        "gi"
    );
    // Create an array to hold our data. Give the array
    // a default empty first row.
    var arrData = [[]];
    // Create an array to hold our individual pattern
    // matching groups.
    var arrMatches = null;
    // Keep looping over the regular expression matches
    // until we can no longer find a match.
    while (arrMatches = objPattern.exec( strData )){
        // Get the delimiter that was found.
        var strMatchedDelimiter = arrMatches[ 1 ];
        // Check to see if the given delimiter has a length
        // (is not the start of string) and if it matches
        // field delimiter. If id does not, then we know
        // that this delimiter is a row delimiter.
        if (
            strMatchedDelimiter.length &&
            (strMatchedDelimiter != strDelimiter)
        ){
            // Since we have reached a new row of data,
            // add an empty row to our data array.
            arrData.push( [] );
        }
    }
    // Return the parsed data.
    return( arrData );
}