我试图在一个长度为10000个字符的大字符串中查找子字符串的计数。最后我需要删除其中的所有子字符串。
示例s = abacacac, substr = ac
,num of occurrence = 3
和最终字符串为s = ab
。我的代码如下,对于长度为10000个字符的数据效率不高。
int count =0;
while(s.contains(substr))
{
s= s.replaceFirst(substr,"");
count++;
}
答案 0 :(得分:15)
怎么样:
var data = getData().map(function (d) {
return d;
});
var canvas = document.querySelector("canvas"),
context = canvas.getContext("2d");
var margin = { top: 20, right: 20, bottom: 30, left: 50 },
width = canvas.width - margin.left - margin.right,
height = canvas.height - margin.top - margin.bottom;
var parseTime = d3.timeParse("%d-%b-%y");
// setup scales
var x = d3.scaleTime()
.range([0, width]);
var x2 = d3.scaleTime().range([0, width]);
var y = d3.scaleLinear()
.range([height, 0]);
// setup domain
x.domain(d3.extent(data, function (d) { return moment(d.Ind, 'YYYYMM'); }));
y.domain(d3.extent(data, function (d) { return d.KSum; }));
x2.domain(x.domain());
// get day range
var dayDiff = daydiff(x.domain()[0],x.domain()[1]);
// line generator
var line = d3.line()
.x(function (d) { return x(moment(d.Ind, 'YYYYMM')); })
.y(function (d) { return y(d.KSum); })
.curve(d3.curveMonotoneX)
.context(context);
// zoom
var zoom = d3.zoom()
.scaleExtent([1, dayDiff * 12])
.translateExtent([[0, 0], [width, height]])
.extent([[0, 0], [width, height]])
.on("zoom", zoomed);
d3.select("canvas").call(zoom)
context.translate(margin.left, margin.top);
draw();
function draw() {
context.clearRect(0-margin.left, 0, canvas.width, canvas.height);
xAxis();
yAxis();
context.beginPath();
line(data);
context.lineWidth = 1.5;
context.strokeStyle = "steelblue";
context.stroke();
}
function zoomed() {
console.log(d3.event);
t = d3.event.transform;
x.domain(t.rescaleX(x2).domain());
context.save();
context.clearRect(0, 0, width, height);
// context.translate(d3.event.translate[0], d3.event.translate[1]);
// context.scale(d3.event.scale, d3.event.scale);
draw();
context.restore();
}
function xAxis() {
var tickCount = 10,
tickSize = 6,
ticks = x.ticks(tickCount),
tickFormat = x.tickFormat();
context.beginPath();
ticks.forEach(function (d) {
context.moveTo(x(d), height);
context.lineTo(x(d), height + tickSize);
});
context.strokeStyle = "black";
context.stroke();
context.textAlign = "center";
context.textBaseline = "top";
ticks.forEach(function (d) {
context.fillText(tickFormat(d), x(d), height + tickSize);
});
}
function yAxis() {
var tickCount = 10,
tickSize = 6,
tickPadding = 3,
ticks = y.ticks(tickCount),
tickFormat = y.tickFormat(tickCount);
context.beginPath();
ticks.forEach(function (d) {
context.moveTo(0, y(d));
context.lineTo(-6, y(d));
});
context.strokeStyle = "black";
context.stroke();
context.beginPath();
context.moveTo(-tickSize, 0);
context.lineTo(0.5, 0);
context.lineTo(0.5, height);
context.lineTo(-tickSize, height);
context.strokeStyle = "black";
context.stroke();
context.textAlign = "right";
context.textBaseline = "middle";
ticks.forEach(function (d) {
context.fillText(tickFormat(d), -tickSize - tickPadding, y(d));
});
context.save();
context.rotate(-Math.PI / 2);
context.textAlign = "right";
context.textBaseline = "top";
context.font = "bold 10px sans-serif";
context.fillText("Price (US$)", -10, 10);
context.restore();
}
function getDate(d) {
return new Date(d.Ind);
}
function daydiff(first, second) {
return Math.round((second - first) / (1000 * 60 * 60 * 24));
}
function getData() {
return [
{
"BriteID": "BI-43dd32fe-ecbc-48d4-a8dc-e1f66110a542",
"Ind": 201501,
"TMin": 30.43,
"TMax": 77.4,
"KMin": 0.041,
"KMax": 1.364,
"KSum": 625.08
},
{
"BriteID": "BI-43dd32fe-ecbc-48d4-a8dc-e1f66110a542",
"Ind": 201502,
"TMin": 35.3,
"TMax": 81.34,
"KMin": 0.036,
"KMax": 1.401,
"KSum": 542.57
},
{
"BriteID": "BI-43dd32fe-ecbc-48d4-a8dc-e1f66110a542",
"Ind": 201503,
"TMin": 32.58,
"TMax": 81.32,
"KMin": 0.036,
"KMax": 1.325,
"KSum": 577.83
},
{
"BriteID": "BI-43dd32fe-ecbc-48d4-a8dc-e1f66110a542",
"Ind": 201504,
"TMin": 54.54,
"TMax": 86.55,
"KMin": 0.036,
"KMax": 1.587,
"KSum": 814.62
},
{
"BriteID": "BI-43dd32fe-ecbc-48d4-a8dc-e1f66110a542",
"Ind": 201505,
"TMin": 61.35,
"TMax": 88.61,
"KMin": 0.036,
"KMax": 1.988,
"KSum": 2429.56
},
{
"BriteID": "BI-43dd32fe-ecbc-48d4-a8dc-e1f66110a542",
"Ind": 201506,
"TMin": 69.5,
"TMax": 92.42,
"KMin": 0.037,
"KMax": 1.995,
"KSum": 2484.93
},
{
"BriteID": "BI-43dd32fe-ecbc-48d4-a8dc-e1f66110a542",
"Ind": 201507,
"TMin": 71.95,
"TMax": 98.62,
"KMin": 0.037,
"KMax": 1.864,
"KSum": 2062.05
},
{
"BriteID": "BI-43dd32fe-ecbc-48d4-a8dc-e1f66110a542",
"Ind": 201508,
"TMin": 76.13,
"TMax": 99.59,
"KMin": 0.045,
"KMax": 1.977,
"KSum": 900.05
},
{
"BriteID": "BI-43dd32fe-ecbc-48d4-a8dc-e1f66110a542",
"Ind": 201509,
"TMin": 70,
"TMax": 91.8,
"KMin": 0.034,
"KMax": 1.458,
"KSum": 401.39
}];
}
只需删除所有子字符串,然后检查删除前后字符串长度的差异。将临时字符串与子字符串中的字符数除以给出事件。
答案 1 :(得分:1)
对于countung子串,我会使用indexOf:
<script>
$('th').on('click', function() {
alert("Hi");
print();
$("#form1").load(location.href + " #form1");
});
</script>
答案 2 :(得分:0)
计算匹配的子字符串
System.out.println(s.split(substr, -1).length-1);
要获取替换字符串,您可以使用以下代码
System.out.println(Pattern.compile(s).matcher(substr).replaceAll(""));
答案 3 :(得分:0)
这是我制作的一种方法,应该可以立即使用,并且不会引发任何错误,
private static int countMatches(String str, String sub) {
int count = 0;
if(!str.isEmpty() && !sub.isEmpty()) {
for (int i = 0; (i = str.indexOf(sub, i)) != -1; i += sub.length()) {
count++;
}
}
return count;
}
我现在将继续解释该方法对初学者的作用。
我们从计数0开始。
然后,我们检查两个字符串是否都不为空,知道它们都不为空,我们继续为子字符串计数,我们进行一个简单的循环以计算子字符串,并在indexOf
返回时循环结束-1,表示未找到子字符串。
只需将其复制并粘贴到您的项目中,然后通过执行即可运行
int count = countMatches("Hello World", "World");
现在count
如果正在执行,应返回索引1。
快乐编码:)