本文整理汇总了TypeScript中d3-fetch.text函数的典型用法代码示例。如果您正苦于以下问题：TypeScript text函数的具体用法？TypeScript text怎么用？TypeScript text使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了text函数的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的TypeScript代码示例。
示例1:
p2 = d3Fetch.buffer(url, init);
let p3: Promise<HTMLImageElement> = d3Fetch.image(url);
const imageProperties = {
width: '300px',
height: '500px'
};
p3 = d3Fetch.image(url, imageProperties);
let p4: Promise<any> = d3Fetch.json(url);
p4 = d3Fetch.json(url, init);
let p5: Promise<MyType> = d3Fetch.json<MyType>(url);
p5 = d3Fetch.json<MyType>(url, init);
let myString: Promise<string>;
myString = d3Fetch.text(url);
myString = d3Fetch.text(url, init);
const parseRow = (rawRow: DSVRowString, index: number, columns: string[]): (MyType | undefined | null) => {
const myType: MyType | null = rawRow['foo'] ? { foo: rawRow['foo'] + '+ bar' } : null;
return myType;
};
let promise1: Promise<DSVParsedArray<DSVRowString>>;
let promise2: Promise<DSVParsedArray<MyType>>;
promise1 = d3Fetch.csv(url);
promise1 = d3Fetch.csv(url, init);
promise2 = d3Fetch.csv<MyType>(url, parseRow);
promise2 = d3Fetch.csv<MyType>(url, init, parseRow);
promise1 = d3Fetch.dsv(';', url);
promise1 = d3Fetch.dsv(';', url, init);
promise2 = d3Fetch.dsv<MyType>(';', url, parseRow);示例2:
arrayPromise = d3Fetch.buffer(url);
arrayPromise = d3Fetch.buffer(url, init);
imagePromise = d3Fetch.image(url);
imagePromise = d3Fetch.image(url, imageProperties);
// $ExpectError
imagePromise = d3Fetch.image(url, {width: "500px"}); // fails, string not assignable to number | undefined
anyPromise = d3Fetch.json(url);
anyPromise = d3Fetch.json(url, init);
carPromise = d3Fetch.json<Car>(url);
carPromise = d3Fetch.json<Car>(url, init);
stringPromise = d3Fetch.text(url);
stringPromise = d3Fetch.text(url, init);
docPromise = d3Fetch.html(url);
docPromise = d3Fetch.html(url, init);
docPromise = d3Fetch.svg(url);
docPromise = d3Fetch.svg(url, init);
xmlDocPromise = d3Fetch.xml(url);
xmlDocPromise = d3Fetch.xml(url, init);
// ----------------------------------------------------------------------------
// DSV file format
// ----------------------------------------------------------------------------