本文目录一览：
- 1、JS写一个读取已知路径的CSV文件，将里面每一行的数据，返回在SELECT的每一行中
- 2、JavaScript 如何读取数据库CSV文件，然后再Cesium中运用其中两列
- 3、javascript 读取csv文件
- 4、前端js实现数据写csv文件，并下载
- 5、python flask 中加载的HTML 页面 的js中 需要加载CSV 文件 但找不到路径
JS写一个读取已知路径的CSV文件，将里面每一行的数据，返回在SELECT的每一行中
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，用ajax就行了~推荐用JQ，原生JS费劲！
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 读取csv文件
js读取CSV格式数据，参考如下：
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
前端js实现数据写csv文件，并下载
var data = ["1,2,3\n","4,5,6"] // 每一行数据为一个字符串，字符串用“,”隔开，并且在每一行加上换行符
var blob = new Blob(data, {type:"text/csv,charset=UTF-8"})
var csvUrl = URL.createObjectURL(blob)
var aEle = document.createElement("a")
aEle.download = "data.csv" //文件名随意
aEle.href = csvUrl
aEle.click()
python flask 中加载的HTML 页面 的js中 需要加载CSV 文件 但找不到路径
在flask没有设置静态文件路径，需要映射一下static，否则找不到文件
