使用JavaScript将CSV转换为特定格式？
我正在研究这个例子：使用JavaScript将CSV转换为特定格式？,javascript,python,csv,anychart,Javascript,Python,Csv,Anychart,我正在研究这个例子： <!doctype html> <html> <head> <script src="https://cdn.anychart.com/js/7.14.0/anychart-bundle.min.js"></script> <link rel="stylesheet" href="https://cdn.anychart.com/css/7.14.0/anychart-ui.min.css" />
<!doctype html>
<html>
<head>
<script src="https://cdn.anychart.com/js/7.14.0/anychart-bundle.min.js"></script>
<link rel="stylesheet" href="https://cdn.anychart.com/css/7.14.0/anychart-ui.min.css" />
<style>
html, body, #container {
width: 100%;
height: 100%;
margin: 0;
padding: 0;
}
</style>
</head>
<body>
<div id="container"></div>
<script type="text/javascript">
anychart.onDocumentReady(function() {
// create data set on our data
var dataSet = anychart.data.set(getData());
// map data for the first series, take x from the zero column and value from the first column of data set
var seriesData_1 = dataSet.mapAs({
x: [0],
value: [1]
});
// map data for the second series, take x from the zero column and value from the second column of data set
var seriesData_2 = dataSet.mapAs({
x: [0],
value: [2]
});
// map data for the third series, take x from the zero column and value from the third column of data set
var seriesData_3 = dataSet.mapAs({
x: [0],
value: [3]
});
// create line chart
chart = anychart.line();
// turn on chart animation
chart.animation(true);
// set chart padding
chart.padding([10, 20, 5, 20]);
// turn on the crosshair
chart.crosshair()
.enabled(true)
.yLabel(false)
.yStroke(null);
// set tooltip mode to point
chart.tooltip().positionMode('point');
// set chart title text settings
chart.title('Trend of Sales of the Most Popular Products of ACME Corp.');
chart.title().padding([0, 0, 5, 0]);
// set yAxis title
chart.yAxis().title('Number of Bottles Sold (thousands)');
chart.xAxis().labels().padding([5]);
// create first series with mapped data
var series_1 = chart.line(seriesData_1);
series_1.name('Brandy');
series_1.hoverMarkers()
.enabled(true)
.type('circle')
.size(4);
series_1.tooltip()
.position('right')
.anchor('left')
.offsetX(5)
.offsetY(5);
// create second series with mapped data
var series_2 = chart.line(seriesData_2);
series_2.name('Whiskey');
series_2.hoverMarkers()
.enabled(true)
.type('circle')
.size(4);
series_2.tooltip()
.position('right')
.anchor('left')
.offsetX(5)
.offsetY(5);
// create third series with mapped data
var series_3 = chart.line(seriesData_3);
series_3.name('Tequila');
series_3.hoverMarkers()
.enabled(true)
.type('circle')
.size(4);
series_3.tooltip()
.position('right')
.anchor('left')
.offsetX(5)
.offsetY(5);
// turn the legend on
chart.legend()
.enabled(true)
.fontSize(13)
.padding([0, 0, 10, 0]);
// set container id for the chart and set up paddings
chart.container('container');
// initiate chart drawing
chart.draw();
});
function getData() {
return [
['1986', 3.6, 2.3, 2.8, 11.5],
['1987', 7.1, 4.0, 4.1, 14.1],
['1988', 8.5, 6.2, 5.1, 17.5],
['1989', 9.2, 11.8, 6.5, 18.9],
['1990', 10.1, 13.0, 12.5, 20.8],
['1991', 11.6, 13.9, 18.0, 22.9],
['1992', 16.4, 18.0, 21.0, 25.2],
['1993', 18.0, 23.3, 20.3, 27.0],
['1994', 13.2, 24.7, 19.2, 26.5],
['1995', 12.0, 18.0, 14.4, 25.3],
['1996', 3.2, 15.1, 9.2, 23.4],
['1997', 4.1, 11.3, 5.9, 19.5],
['1998', 6.3, 14.2, 5.2, 17.8],
['1999', 9.4, 13.7, 4.7, 16.2],
['2000', 11.5, 9.9, 4.2, 15.4],
['2001', 13.5, 12.1, 1.2, 14.0],
['2002', 14.8, 13.5, 5.4, 12.5],
['2003', 16.6, 15.1, 6.3, 10.8],
['2004', 18.1, 17.9, 8.9, 8.9],
['2005', 17.0, 18.9, 10.1, 8.0],
['2006', 16.6, 20.3, 11.5, 6.2],
['2007', 14.1, 20.7, 12.2, 5.1],
['2008', 15.7, 21.6, 10, 3.7],
['2009', 12.0, 22.5, 8.9, 1.5]
]
}
</script>
</body>
</html>
我对任何图表都不熟悉，所以我不知道那里是否有任何内置的功能来实现您想要的功能。但是，下面显示了一种通用方法，将csv文本拆分为行，将行拆分为“字”，并根据需要对字进行处理，以将年份提取为字符串或将字符串数据值转换为数字数据值 下面的代码仅将所示格式的输入数据转换为所示格式的输出数据。如果输入或输出的格式发生更改，则必须适当更改处理。然而，下面的代码至少显示了一种实现这一点的策略
换行符const newline='\n'；
常数csv=
`
日期、开盘、高位、低位、收盘、成交量
2004-08-19,49.96,51.98,47.93,50.12,
2004-08-20,50.69,54.49,50.2,54.1,
2004-08-23,55.32,56.68,54.47,54.65,
2004-08-24,55.56,55.74,51.73,52.38,
2004-08-25,52.43,53.95,51.89,52.95,
2004-08-26,52.42,53.92,52.28,53.9,
2004-08-27,54.0,54.26,52.79,53.02,
`;
/*
所需格式：
['1986', 3.6, 2.3, 2.8, 11.5],
['1987', 7.1, 4.0, 4.1, 14.1],
等
*/
const processCSV=csv=>
csv
.replace（RegExp（`^${newline}+`g'），''）//在开头消除多余的换行
.replace（RegExp（`${newline}+$`，`g'），''）//在末尾删除额外的换行符
.split（换行）//将csv字符串拆分为行
.slice（1）//消除不必要的第一个标题行
.map（行=>{//处理每行
常数elmts=直线
.replace（/，+$/g，）//删除任何尾随的逗号
.split（“，”）；//将行拆分为数据元素
const year=elmts[0]。切片（0,4）；//从第一个元素中提取年份
const data=elmts.slice（1.map）（num=>+num）；//将所有剩余值转换为数字
return[年份，…数据]；//返回每行的数据
});
log（JSON.stringify（processCSV（csv））您可以将CSV数据与任何图表一起使用，而无需设置格式，文档中有一篇关于此的文章：
以下是CSV格式数据的示例：
anychart.onDocumentReady(function() {
// create data set on our data
var dataSet = anychart.data.set(getData(),{ignoreFirstRow: true});
// map data for the first series, take x from the zero column and value from the first column of data set
var seriesData_1 = dataSet.mapAs({
x: [0],
open: [1],
high: [2],
low: [3],
close: [4],
});
// map data for the second series, take x from the zero column and value from the second column of data set
var seriesData_2 = dataSet.mapAs({
x: [0],
value: [5]
});
// create line chart
chart = anychart.line();
// create first series with mapped data
var series_1 = chart.ohlc(seriesData_1);
volumeScale = anychart.scales.linear();
chart.yAxis(1).scale(volumeScale);
chart.yAxis(1).orientation("right");
// create second series with mapped data
var series_2 = chart.line(seriesData_2);
series_2.yScale(volumeScale);
// draw
chart.container('container').draw();
});
function getData() {
return 'Date,Open,High,Low,Close,Volume\n' +
'2004-08-19,49.96,51.98,47.93,50.12,100\n' +
'2004-08-20,50.69,54.49,50.2,54.1,1200\n' +
'2004-08-23,55.32,56.68,54.47,54.65,110\n' +
'2004-08-24,55.56,55.74,51.73,52.38,111\n' +
'2004-08-25,52.43,53.95,51.89,52.95,105\n' +
'2004-08-26,52.42,53.92,52.28,53.9,100\n' +
'2004-08-27,54.0,54.26,52.79,53.02,90\n'
}
链接到示例：您提供了太多不必要的信息/代码，这使得人们不太愿意回答您的问题。请阅读，并特别注意一个问题应该是“最小”。
anychart.onDocumentReady(function() {
// create data set on our data
var dataSet = anychart.data.set(getData(),{ignoreFirstRow: true});
// map data for the first series, take x from the zero column and value from the first column of data set
var seriesData_1 = dataSet.mapAs({
x: [0],
open: [1],
high: [2],
low: [3],
close: [4],
});
// map data for the second series, take x from the zero column and value from the second column of data set
var seriesData_2 = dataSet.mapAs({
x: [0],
value: [5]
});
// create line chart
chart = anychart.line();
// create first series with mapped data
var series_1 = chart.ohlc(seriesData_1);
volumeScale = anychart.scales.linear();
chart.yAxis(1).scale(volumeScale);
chart.yAxis(1).orientation("right");
// create second series with mapped data
var series_2 = chart.line(seriesData_2);
series_2.yScale(volumeScale);
// draw
chart.container('container').draw();
});
function getData() {
return 'Date,Open,High,Low,Close,Volume\n' +
'2004-08-19,49.96,51.98,47.93,50.12,100\n' +
'2004-08-20,50.69,54.49,50.2,54.1,1200\n' +
'2004-08-23,55.32,56.68,54.47,54.65,110\n' +
'2004-08-24,55.56,55.74,51.73,52.38,111\n' +
'2004-08-25,52.43,53.95,51.89,52.95,105\n' +
'2004-08-26,52.42,53.92,52.28,53.9,100\n' +
'2004-08-27,54.0,54.26,52.79,53.02,90\n'
}