js讀取csv數據線（js 讀取csv）

本文目錄一覽：

• 1、javascript 讀取csv文件
• 2、如何用JS或Ajax讀取csv文件
• 3、JavaScript 如何讀取數據庫CSV文件，然後再Cesium中運用其中兩列
• 4、javascript怎麼修改csv文件
• 5、d3.js怎麼處理.csv文件

javascript 讀取csv文件

js讀取CSV格式數據，參考如下：

script type=”text/javascript”     

// 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 );  

}  

/script

如何用JS或Ajax讀取csv文件

JS不能直接讀取CSV格式的文件，如果硬要讀，只能按照text的格式來讀，然後根據逗號或者什麼進行分組，

JavaScript 如何讀取數據庫CSV文件，然後再Cesium中運用其中兩列

兼容性好點就發送內容到服務器，又服務器處理，設置”Content-Disposition

javascript怎麼修改csv文件

如果是基於瀏覽器,那就不能修改。

js讀取CSV格式數據，參考如下：

script type=”text/javascript”

// 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 );

}

/script

d3.js怎麼處理.csv文件

如果是基於瀏覽器,那就不能修改。

js讀取CSV格式數據，參考如下：

script type=”text/javascript”

// 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( [] );

}