চার্ট অঙ্কন ফাংশন কাস্টমাইজ করুন.
চার্ট অবজেক্ট। বস্তু
চার্ট (বিকল্প)
দ্যoptionsপ্যারামিটার হল চার্ট কনফিগারেশন।Chart()ফাংশন প্যারামিটারoptionsএকটিJSONসিরিয়ালাইজযোগ্যHighStocksপ্যারামিটারHighcharts.StockChartঅতিরিক্ত__isStockঅ্যাট্রিবিউট নেটিভ প্যারামিটারের উপরে যোগ করা হয়, এবং যদি__isStock:falseনির্দিষ্ট করা হয়, এটি একটি স্বাভাবিক চার্ট হিসাবে প্রদর্শিত হয়.__isStockঅ্যাট্রিবিউট একটি মিথ্যা মান সেট করা হয়, যেমনfalse, অর্থাৎ ব্যবহৃত চার্টটি একটিHighchartsচার্ট.__isStockঅ্যাট্রিবিউট একটি সত্য মান সেট করা হয়, যেমনtrue, অর্থাৎ ব্যবহৃত চার্টটি একটিHighstocksচার্ট (ডিফল্টরূপে__isStockসত্য, যেমনtrue) আপনি প্রশ্ন জিজ্ঞাসা করতে পারেনহাইস্টকস চার্ট লাইব্রেরি.
বিকল্প
সত্য
বস্তু, বস্তু অ্যারে
function main() {
var cfgA = {
extension: {
layout: 'single', // No grouping, display separately, default to group 'group'
height: 300, // Specify the height
},
title: {
text: 'handicap chart'
},
xAxis: {
type: 'datetime'
},
series: [{
name: 'buy one',
data: [],
}, {
name: 'sell one',
data: [],
}]
}
var cfgB = {
title: {
text: 'spread chart'
},
xAxis: {
type: 'datetime'
},
series: [{
name: 'spread',
type: 'column',
data: [],
}]
}
var cfgC = {
__isStock: false,
title: {
text: 'pie chart'
},
series: [{
type: 'pie',
name: 'one',
data: [
["A", 25],
["B", 25],
["C", 25],
["D", 25],
] // Instead of updating the initial data with the add function, the sequence can be updated by changing the chart configuration directly.
}]
};
var cfgD = {
extension: {
layout: 'single',
col: 8, // Specify the cell value for the width, the total value is 12
height: '300px',
},
title: {
text: 'handicap chart'
},
xAxis: {
type: 'datetime'
},
series: [{
name: 'buy one',
data: [],
}, {
name: 'sell one',
data: [],
}]
}
var cfgE = {
__isStock: false,
extension: {
layout: 'single',
col: 4,
height: '300px',
},
title: {
text: 'pie chart2'
},
series: [{
type: 'pie',
name: 'one',
data: [
["A", 25],
["B", 25],
["C", 25],
["D", 25],
]
}]
};
var chart = Chart([cfgA, cfgB, cfgC, cfgD, cfgE]);
chart.reset()
// Add a number of points to the pie chart, add can only update the data points added by add, built-in data points cannot be updated later.
chart.add(3, {
name: "ZZ",
y: Math.random() * 100
});
while (true) {
Sleep(1000)
var ticker = exchange.GetTicker()
if (!ticker) {
continue;
}
var diff = ticker.Sell - ticker.Buy
cfgA.subtitle = {
text: 'buy one ' + ticker.Buy + ', sell one ' + ticker.Sell,
};
cfgB.subtitle = {
text: 'spread ' + diff,
};
chart.add([0, [new Date().getTime(), ticker.Buy]]);
chart.add([1, [new Date().getTime(), ticker.Sell]]);
// Equivalent to updating the first data series of the second chart
chart.add([2, [new Date().getTime(), diff]]);
chart.add(4, [new Date().getTime(), ticker.Buy]);
chart.add(5, [new Date().getTime(), ticker.Buy]);
cfgC.series[0].data[0][1] = Math.random() * 100;
cfgE.series[0].data[0][1] = Math.random() * 100;
// update is actually the same as resetting the chart's configuration
chart.update([cfgA, cfgB, cfgC, cfgD, cfgE]);
}
}
import random
import time
def main():
cfgA = {
"extension" : {
"layout" : "single",
"height" : 300,
"col" : 8
},
"title" : {
"text" : "handicap chart"
},
"xAxis" : {
"type" : "datetime"
},
"series" : [{
"name" : "buy one",
"data" : []
}, {
"name" : "sell one",
"data" : []
}]
}
cfgB = {
"title" : {
"text" : "spread chart"
},
"xAxis" : {
"type" : "datetime",
},
"series" : [{
"name" : "spread",
"type" : "column",
"data" : []
}]
}
cfgC = {
"__isStock" : False,
"title" : {
"text" : "pie chart"
},
"series" : [{
"type" : "pie",
"name" : "one",
"data" : [
["A", 25],
["B", 25],
["C", 25],
["D", 25],
]
}]
}
cfgD = {
"extension" : {
"layout" : "single",
"col" : 8,
"height" : "300px"
},
"title" : {
"text" : "handicap chart"
},
"series" : [{
"name" : "buy one",
"data" : []
}, {
"name" : "sell one",
"data" : []
}]
}
cfgE = {
"__isStock" : False,
"extension" : {
"layout" : "single",
"col" : 4,
"height" : "300px"
},
"title" : {
"text" : "pie chart2"
},
"series" : [{
"type" : "pie",
"name" : "one",
"data" : [
["A", 25],
["B", 25],
["C", 25],
["D", 25]
]
}]
}
chart = Chart([cfgA, cfgB, cfgC, cfgD, cfgE])
chart.reset()
chart.add(3, {
"name" : "ZZ",
"y" : random.random() * 100
})
while True:
Sleep(1000)
ticker = exchange.GetTicker()
if not ticker :
continue
diff = ticker["Sell"] - ticker["Buy"]
cfgA["subtitle"] = {
"text" : "buy one" + str(ticker["Buy"]) + "sell one" + str(ticker["Sell"])
}
cfgB["subtitle"] = {
"text" : "spread " + str(diff)
}
chart.add(0, [time.time() * 1000, ticker["Buy"]])
chart.add(1, [time.time() * 1000, ticker["Sell"]])
chart.add(2, [time.time() * 1000, diff])
chart.add(4, [time.time() * 1000, ticker["Buy"]])
chart.add(5, [time.time() * 1000, ticker["Buy"]])
cfgC["series"][0]["data"][0][1] = random.random() * 100
cfgE["series"][0]["data"][0][1] = random.random() * 100
void main() {
json cfgA = R"({
"extension" : {
"layout" : "single",
"height" : 300,
"col" : 8
},
"title" : {
"text" : "handicap chart"
},
"xAxis" : {
"type" : "datetime"
},
"series" : [{
"name" : "buy one",
"data" : []
}, {
"name" : "sell one",
"data" : []
}]
})"_json;
json cfgB = R"({
"title" : {
"text" : "spread chart"
},
"xAxis" : {
"type" : "datetime"
},
"series" : [{
"name" : "spread",
"type" : "column",
"data" : []
}]
})"_json;
json cfgC = R"({
"__isStock" : false,
"title" : {
"text" : "pie chart"
},
"series" : [{
"type" : "pie",
"name" : "one",
"data" : [
["A", 25],
["B", 25],
["C", 25],
["D", 25]
]
}]
})"_json;
json cfgD = R"({
"extension" : {
"layout" : "single",
"col" : 8,
"height" : "300px"
},
"title" : {
"text" : "handicap chart"
},
"series" : [{
"name" : "buy one",
"data" : []
}, {
"name" : "sell one",
"data" : []
}]
})"_json;
json cfgE = R"({
"__isStock" : false,
"extension" : {
"layout" : "single",
"col" : 4,
"height" : "300px"
},
"title" : {
"text" : "pie chart2"
},
"series" : [{
"type" : "pie",
"name" : "one",
"data" : [
["A", 25],
["B", 25],
["C", 25],
["D", 25]
]
}]
})"_json;
auto chart = Chart({cfgA, cfgB, cfgC, cfgD, cfgE});
chart.reset();
json zz = R"({
"name" : "ZZ",
"y" : 0
})"_json;
zz["y"] = rand() % 100;
chart.add(3, zz);
while(true) {
Sleep(1000);
auto ticker = exchange.GetTicker();
if(!ticker.Valid) {
continue;
}
auto diff = ticker.Sell - ticker.Buy;
json cfgASubTitle = R"({"text" : ""})"_json;
cfgASubTitle["text"] = format("buy one %f , sell one %f", ticker.Buy, ticker.Sell);
cfgA["subtitle"] = cfgASubTitle;
json cfgBSubTitle = R"({"text" : ""})"_json;
cfgBSubTitle["text"] = format("spread %f", diff);
cfgB["subtitle"] = cfgBSubTitle;
chart.add(0, {Unix() * 1000, ticker.Buy});
chart.add(1, {Unix() * 1000, ticker.Sell});
chart.add(2, {Unix() * 1000, diff});
chart.add(4, {Unix() * 1000, ticker.Buy});
chart.add(5, {Unix() * 1000, ticker.Buy});
cfgC["series"][0]["data"][0][1] = rand() % 100;
cfgE["series"][0]["data"][0][1] = rand() % 100;
chart.update({cfgA, cfgB, cfgC, cfgD, cfgE});
}
}
মাল্টি-চার্ট অঙ্কন কনফিগারেশনঃ
extension.layoutবৈশিষ্ট্য
যদি বৈশিষ্ট্যটি extension.heightবৈশিষ্ট্য
অ্যাট্রিবিউটটি চার্টের উচ্চতা সেট করতে ব্যবহৃত হয়, হয় একটি সংখ্যাগত মান হিসাবে, অথবা extension.colবৈশিষ্ট্য
অ্যাট্রিবিউটটি চার্টের প্রস্থ সেট করতে ব্যবহৃত হয়, পৃষ্ঠা প্রস্থ 12 টি কোষে বিভক্ত করা হয়, সেট 8,অর্থাৎ, চার্ট 8 টি কোষের প্রস্থ দখল করে।// This chart is an object in the JavaScript language, and before using the Chart function, we need to declare an object variable chart to configure the chart. var chart = {
// This field marks whether the chart is a general chart or not, if you are interested, you can change it to false and run it.
__isStock: true,
// Scaling tool
tooltip: {xDateFormat: '%Y-%m-%d %H:%M:%S, %A'},
// title
title : { text : 'spread analysis chart'},
// selection range
rangeSelector: {
buttons: [{type: 'hour',count: 1, text: '1h'}, {type: 'hour',count: 3, text: '3h'}, {type: 'hour', count: 8, text: '8h'}, {type: 'all',text: 'All'}],
selected: 0,
inputEnabled: false
},
// Coordinate axis horizontal axis that is: x-axis, the current setting type is: time
xAxis: { type: 'datetime'},
// Coordinate axis vertical axis that is: y-axis, default value adjusted with the size of the data
yAxis : {
// title
title: {text: 'spread'},
// Whether to enable the right vertical axis
opposite: false
},
// Data series, this sttribute holds the individual data series (lines, K-charts, labels, etc...)
series : [
// The index is 0, and the data array holds the data of the index series
{name : "line1", id : "line1,buy1Price", data : []},
// Index is 1, set dashStyle:'shortdash' i.e.: set the dashed line
{name : "line2", id : "line2,lastPrice", dashStyle : 'shortdash', data : []}
]
} function main(){
// Call the Chart function to initialize the chart
var ObjChart = Chart(chart)
// Clear out
ObjChart.reset()
while(true){
// Gets the timestamp of this poll, i.e. a millisecond timestamp. It's used to determine the position of the X-axis written to the chart.
var nowTime = new Date().getTime()
// Get the ticker data
var ticker = _C(exchange.GetTicker)
// Get buy one price from the return value of the ticker data
var buy1Price = ticker.Buy
// To obtain the final transaction price, we add 1 in order not to overlap the 2 lines
var lastPrice = ticker.Last + 1
// Data sequence with timestamp as X-value and buy one price as Y-value passed into index 0
ObjChart.add(0, [nowTime, buy1Price])
// ditto
ObjChart.add(1, [nowTime, lastPrice])
Sleep(2000)
}
}```
```python
import time
chart = {
"__isStock" : True,
"tooltip" : {"xDateFormat" : "%Y-%m-%d %H:%M:%S, %A"},
"title" : {"text" : "spread analysis chart"},
"rangeSelector" : {
"buttons" : [{"type": "count", "count": 1, "text": "1h"}, {"type": "hour", "count": 3, "text": "3h"}, {"type": "hour", "count": 8, "text": "8h"}, {"type": "all", "text": "All"}],
"selected": 0,
"inputEnabled": False
},
"xAxis": {"type": "datetime"},
"yAxis": {
"title": {"text": "spread"},
"opposite": False
},
"series": [{
"name": "line1", "id": "line1,buy1Price", "data": []
}, {
"name": "line2", "id": "line2,lastPrice", "dashStyle": "shortdash", "data": []
}]
}
def main():
ObjChart = Chart(chart)
ObjChart.reset()
while True:
nowTime = time.time() * 1000
ticker = exchange.GetTicker()
buy1Price = ticker["Buy"]
lastPrice = ticker["Last"] + 1
ObjChart.add(0, [nowTime, buy1Price])
ObjChart.add(1, [nowTime, lastPrice])
Sleep(2000)
void main() {
// When writing strategies in C++, try not to declare global variables that are not of the base type, so the chart configuration object is declared inside the main function.
json chart = R"({
"__isStock" : true,
"tooltip" : {"xDateFormat" : "%Y-%m-%d %H:%M:%S, %A"},
"title" : {"text" : "spread analysis chart"},
"rangeSelector" : {
"buttons" : [{"type": "count", "count": 1, "text": "1h"}, {"type": "hour", "count": 3, "text": "3h"}, {"type": "hour", "count": 8, "text": "8h"}, {"type": "all", "text": "All"}],
"selected": 0,
"inputEnabled": false
},
"xAxis": {"type": "datetime"},
"yAxis": {
"title": {"text": "spread"},
"opposite": false
},
"series": [{
"name": "line1", "id": "line1,buy1Price", "data": []
}, {
"name": "line2", "id": "line2,lastPrice", "dashStyle": "shortdash", "data": []
}]
})"_json;
auto ObjChart = Chart(chart);
ObjChart.reset();
while(true) {
auto nowTime = Unix() * 1000;
auto ticker = exchange.GetTicker();
auto buy1Price = ticker.Buy;
auto lastPrice = ticker.Last + 1.0;
ObjChart.add(0, {nowTime, buy1Price});
ObjChart.add(1, {nowTime, lastPrice});
Sleep(2000);
}
}
একটি সহজ অঙ্কনের উদাহরণঃ
// Objects used to initialize the chart
var chart = {
// Chart title
title: {text: "line value triggers the plotLines value"},
// Y-axis related settings
yAxis: {
// A horizontal line perpendicular to the Y-axis, used as a trigger line, is a structural array that can set multiple trigger lines
plotLines: [{
// The value of the trigger line, how much it set, this line will be displayed in the corresponding value position
value: 0,
// Set the color of the trigger line
color: 'red',
// Width
width: 2,
// Displaying labels
label: {
// Label text
text: 'Trigger value',
// Centered label position
align: 'center'
}
}]
},
// X-axis related settings, here the setting type is time axis
xAxis: {type: "datetime"},
series: [
{name: "sin", type: "spline", data: []},
// This is an important data series, you can set multiple data series, according to the array index control
{name: "cos", type: "spline", data: []}
]
}
function main(){
// Circumference
var pi = 3.1415926535897
// Variables for recording timestamps
var time = 0
// Angle
var angle = 0
// Coordinate y values for receiving sine and cosine values
var y = 0
// Call the API interface to initialize the chart with the chart object
var objChart = Chart(chart)
// Initially, clear the chart
objChart.reset()
// Set the value of the trigger line to 1
chart.yAxis.plotLines[0].value = 1
// Loop
while(true){
// Get the timestamp of the current moment
time = new Date().getTime()
// Angle increases by 5 degrees every 500ms and calculates the sine value
y = Math.sin(angle * 2 * pi / 360)
// Write the calculated y value to the data series of the corresponding index of the chart, the first parameter of the add function is the specified data series index
objChart.add(0, [time, y])
// Calculate the cosine value
y = Math.cos(angle * 2 * pi / 360)
objChart.add(1, [time, y])
// Increase by 5 degrees
angle += 5
// Pause for 5 seconds to avoid drawing too often and growing data too fast
Sleep(5000)
}
}
import math
import time
chart = {
"title": {"text": "line value triggers the plotLines value"},
"yAxis": {
"plotLines": [{
"value": 0,
"color": "red",
"width": 2,
"label": {
"text": "trigger value",
"align": "center"
}
}]
},
"xAxis": {"type": "datetime"},
"series": [{"name": "sin", "type": "spline", "data": []},
{"name": "cos", "type": "spline", "data": []}]
}
def main():
pi = 3.1415926535897
ts = 0
angle = 0
y = 0
objChart = Chart(chart)
objChart.reset()
chart["yAxis"]["plotLines"][0]["value"] = 1
while True:
ts = time.time() * 1000
y = math.sin(angle * 2 * pi / 360)
objChart.add(0, [ts, y])
y = math.cos(angle * 2 * pi / 360)
objChart.add(1, [ts, y])
angle += 5
Sleep(5000)
void main() {
json chart = R"({
"title": {"text": "line value triggers the plotLines value"},
"yAxis": {
"plotLines": [{
"value": 0,
"color": "red",
"width": 2,
"label": {
"text": "trigger value",
"align": "center"
}
}]
},
"xAxis": {"type": "datetime"},
"series": [{"name": "sin", "type": "spline", "data": []},
{"name": "cos", "type": "spline", "data": []}]
})"_json;
auto pi = 3.1415926535897;
auto ts = 0;
auto angle = 0.0;
auto y = 0.0;
auto objChart = Chart(chart);
objChart.reset();
chart["yAxis"]["plotLines"][0]["value"] = 1;
while(true) {
ts = Unix() * 1000;
y = sin(angle * 2 * pi / 360);
objChart.add(0, {ts, y});
y = cos(angle * 2 * pi / 360);
objChart.add(1, {ts, y});
angle += 5;
Sleep(5000);
}
}
ত্রিভুজীয় বক্ররেখা অঙ্কনের উদাহরণঃ
/*backtest
start: 2020-03-11 00:00:00
end: 2020-04-09 23:59:00
period: 1d
exchanges: [{"eid":"Bitfinex","currency":"BTC_USD"}]
*/
var chartCfg = {
subtitle: {
text: "subtitle",
},
yAxis: [{
height: "40%",
lineWidth: 2,
title: {
text: 'PnL',
},
tickPixelInterval: 20,
minorGridLineWidth: 1,
minorTickWidth: 0,
opposite: true,
labels: {
align: "right",
x: -3,
}
}, {
title: {
text: 'Profit',
},
top: "42%",
height: "18%",
offset: 0,
lineWidth: 2
}, {
title: {
text: 'Vol',
},
top: '62%',
height: '18%',
offset: 0,
lineWidth: 2
}, {
title: {
text: 'Asset',
},
top: '82%',
height: '18%',
offset: 0,
lineWidth: 2
}],
series: [{
name: 'PnL',
data: [],
id: 'primary',
tooltip: {
xDateFormat: '%Y-%m-%d %H:%M:%S'
},
yAxis: 0
}, {
type: 'column',
lineWidth: 2,
name: 'Profit',
data: [],
yAxis: 1,
}, {
type: 'column',
name: 'Trade',
data: [],
yAxis: 2
}, {
type: 'area',
step: true,
lineWidth: 0,
name: 'Long',
data: [],
yAxis: 2
}, {
type: 'area',
step: true,
lineWidth: 0,
name: 'Short',
data: [],
yAxis: 2
}, {
type: 'line',
step: true,
color: '#5b4b00',
name: 'Asset',
data: [],
yAxis: 3
}, {
type: 'pie',
innerSize: '70%',
name: 'Random',
data: [],
center: ['3%', '6%'],
size: '15%',
dataLabels: {
enabled: false
},
startAngle: -90,
endAngle: 90,
}],
};
function main() {
let c = Chart(chartCfg);
let preTicker = null;
while (true) {
let t = exchange.GetTicker();
c.add(0, [t.Time, t.Last]); // PnL
c.add(1, [t.Time, preTicker ? t.Last - preTicker.Last : 0]); // profit
let r = Math.random();
var pos = parseInt(t.Time/86400);
c.add(2, [t.Time, pos/2]); // Vol
c.add(3, [t.Time, r > 0.8 ? pos : null]); // Long
c.add(4, [t.Time, r < 0.8 ? -pos : null]); // Short
c.add(5, [t.Time, Math.random() * 100]); // Asset
// update pie
chartCfg.series[chartCfg.series.length-1].data = [
["A", Math.random()*100],
["B", Math.random()*100],
];
c.update(chartCfg)
preTicker = t;
}
}
'''backtest
start: 2020-03-11 00:00:00
end: 2020-04-09 23:59:00
period: 1d
exchanges: [{"eid":"Bitfinex","currency":"BTC_USD"}]
'''
import random
chartCfg = {
"subtitle": {
"text": "subtitle"
},
"yAxis": [{
"height": "40%",
"lineWidth": 2,
"title": {
"text": 'PnL'
},
"tickPixelInterval": 20,
"minorGridLineWidth": 1,
"minorTickWidth": 0,
"opposite": True,
"labels": {
"align": "right",
"x": -3
}
}, {
"title": {
"text": 'Profit'
},
"top": "42%",
"height": "18%",
"offset": 0,
"lineWidth": 2
}, {
"title": {
"text": 'Vol'
},
"top": '62%',
"height": '18%',
"offset": 0,
"lineWidth": 2
}, {
"title": {
"text": 'Asset'
},
"top": '82%',
"height": '18%',
"offset": 0,
"lineWidth": 2
}],
"series": [{
"name": 'PnL',
"data": [],
"id": 'primary',
"tooltip": {
"xDateFormat": '%Y-%m-%d %H:%M:%S'
},
"yAxis": 0
}, {
"type": 'column',
"lineWidth": 2,
"name": 'Profit',
"data": [],
"yAxis": 1
}, {
"type": 'column',
"name": 'Trade',
"data": [],
"yAxis": 2
}, {
"type": 'area',
"step": True,
"lineWidth": 0,
"name": 'Long',
"data": [],
"yAxis": 2
}, {
"type": 'area',
"step": True,
"lineWidth": 0,
"name": 'Short',
"data": [],
"yAxis": 2
}, {
"type": 'line',
"step": True,
"color": '#5b4b00',
"name": 'Asset',
"data": [],
"yAxis": 3
}, {
"type": 'pie',
"innerSize": '70%',
"name": 'Random',
"data": [],
"center": ['3%', '6%'],
"size": '15%',
"dataLabels": {
"enabled": False
},
"startAngle": -90,
"endAngle": 90
}]
}
def main():
c = Chart(chartCfg)
preTicker = None
while True:
t = exchange.GetTicker()
c.add(0, [t["Time"], t["Last"]])
profit = t["Last"] - preTicker["Last"] if preTicker else 0
c.add(1, [t["Time"], profit])
r = random.random()
pos = t["Time"] / 86400
c.add(2, [t["Time"], pos / 2])
long = pos if r > 0.8 else None
c.add(3, [t["Time"], long])
short = -pos if r < 0.8 else None
c.add(4, [t["Time"], short])
c.add(5, [t["Time"], random.random() * 100])
# update pie
chartCfg["series"][len(chartCfg["series"]) - 1]["data"] = [
["A", random.random() * 100],
["B", random.random() * 100]
]
c.update(chartCfg)
preTicker = t
/*backtest
start: 2020-03-11 00:00:00
end: 2020-04-09 23:59:00
period: 1d
exchanges: [{"eid":"Bitfinex","currency":"BTC_USD"}]
*/
void main() {
json chartCfg = R"({
"subtitle": {
"text": "subtitle"
},
"yAxis": [{
"height": "40%",
"lineWidth": 2,
"title": {
"text": "PnL"
},
"tickPixelInterval": 20,
"minorGridLineWidth": 1,
"minorTickWidth": 0,
"opposite": true,
"labels": {
"align": "right",
"x": -3
}
}, {
"title": {
"text": "Profit"
},
"top": "42%",
"height": "18%",
"offset": 0,
"lineWidth": 2
}, {
"title": {
"text": "Vol"
},
"top": "62%",
"height": "18%",
"offset": 0,
"lineWidth": 2
}, {
"title": {
"text": "Asset"
},
"top": "82%",
"height": "18%",
"offset": 0,
"lineWidth": 2
}],
"series": [{
"name": "PnL",
"data": [],
"id": "primary",
"tooltip": {
"xDateFormat": "%Y-%m-%d %H:%M:%S"
},
"yAxis": 0
}, {
"type": "column",
"lineWidth": 2,
"name": "Profit",
"data": [],
"yAxis": 1
}, {
"type": "column",
"name": "Trade",
"data": [],
"yAxis": 2
}, {
"type": "area",
"step": true,
"lineWidth": 0,
"name": "Long",
"data": [],
"yAxis": 2
}, {
"type": "area",
"step": true,
"lineWidth": 0,
"name": "Short",
"data": [],
"yAxis": 2
}, {
"type": "line",
"step": true,
"color": "#5b4b00",
"name": "Asset",
"data": [],
"yAxis": 3
}, {
"type": "pie",
"innerSize": "70%",
"name": "Random",
"data": [],
"center": ["3%", "6%"],
"size": "15%",
"dataLabels": {
"enabled": false
},
"startAngle": -90,
"endAngle": 90
}]
})"_json;
Chart c = Chart(chartCfg);
Ticker preTicker;
while(true) {
auto t = exchange.GetTicker();
c.add(0, {t.Time, t.Last});
auto profit = preTicker.Valid ? t.Last - preTicker.Last : 0;
c.add(1, {t.Time, profit});
auto r = rand() % 100;
auto pos = t.Time / 86400.0;
c.add(2, {t.Time, pos / 2.0});
auto longPos = r > 0.8 ? pos : NULL;
c.add(3, {t.Time, longPos});
auto shortPos = r < 0.8 ? -pos : NULL;
c.add(4, {t.Time, shortPos});
c.add(5, {t.Time, rand() % 100});
// update pie
json pie = R"([["A", 0], ["B", 0]])"_json;
pie[0][1] = rand() % 100;
pie[1][1] = rand() % 100;
chartCfg["series"][chartCfg["series"].size() - 1]["data"] = pie;
c.update(chartCfg);
preTicker = t;
}
}
হাইব্রিড চার্ট ব্যবহারের জটিল উদাহরণঃ
// update pie
chartCfg.series[chartCfg.series.length-1].data = [
["A", Math.random()*100],
["B", Math.random()*100],
];
c.update(chartCfg)
# update pie
chartCfg["series"][len(chartCfg["series"]) - 1]["data"] = [
["A", random.random() * 100],
["B", random.random() * 100]
]
c.update(chartCfg)
// update pie
json pie = R"([["A", 0], ["B", 0]])"_json;
pie[0][1] = rand() % 100;
pie[1][1] = rand() % 100;
chartCfg["series"][chartCfg["series"].size() - 1]["data"] = pie;
c.update(chartCfg);
টাইপ চার্টpieউদাহরণস্বরূপ উপরের উদাহরণে কোডটি ব্যবহার করে চার্ট আপডেট করেc.update(chartCfg)তথ্য আপডেট করার পর, নিম্নরূপঃ
দ্যChart()ফাংশন একটি চার্ট অবজেক্ট রিটার্ন করে যার 4 টি পদ্ধতি রয়েছেঃadd(), reset(), update(), del().
update()পদ্ধতিঃ
দ্যupdate()পদ্ধতি চার্ট কনফিগারেশন তথ্য আপডেট করতে পারেন. এই পদ্ধতির পরামিতি চার্ট কনফিগারেশন বস্তু (JSON) হয়.del()পদ্ধতিঃ
দ্যdel()পদ্ধতিটি পাস করা সিরিজের পরামিতির উপর ভিত্তি করে নির্দিষ্ট সূচকের ডেটা সিরিজ মুছে ফেলতে পারে।add()পদ্ধতিঃ
দ্যadd()পদ্ধতিটি নিম্নলিখিত পরামিতিগুলির সাথে চার্টে ডেটা লিখতে পারেঃseries: ডেটা সিরিজের সূচক সেট করতে ব্যবহৃত হয়, যা একটি পূর্ণসংখ্যা।data: লিখতে হবে এমন নির্দিষ্ট ডেটা সেট করতে ব্যবহৃত হয়, এটি একটি অ্যারে।index(ঐচ্ছিক): ডাটা ইন্ডেক্স সেট করতে ব্যবহৃত হয়, এটি একটি পূর্ণসংখ্যা। পরিবর্তিত ডেটার নির্দিষ্ট সূচক অবস্থান নির্দিষ্ট করুন এবং এটি নেতিবাচক সংখ্যা সমর্থন করে, সেটিংটি হল-1এটি ডেটা সেটের শেষ তথ্যকে বোঝায়।
উদাহরণস্বরূপ, একটি রেখা অঙ্কন করার সময়, রেখার শেষ বিন্দুতে তথ্য পরিবর্তন করুনঃchart.add(0, [1574993606000, 13.5], -1), অর্থাৎ, চার্টের প্রথম পয়েন্টে তথ্য পরিবর্তনseries[0].data.
দ্যindexপ্যারামিটারটি সেট করা নেই, যার মানে বর্তমান ডেটা সিরিজের শেষ বিন্দুতে তথ্য যোগ করা হয়।reset()পদ্ধতিঃ
দ্যreset()চার্ট তথ্য খালি করার জন্য পদ্ধতি ব্যবহার করা হয়।reset()পদ্ধতি একটি পরামিতি নিতে পারেনremainসংরক্ষণ করার জন্য এন্ট্রি সংখ্যা নির্দিষ্ট করতে. কোন পরামিতিremainসমস্ত তথ্য মুছে ফেলার জন্য পাস করা হয়।{@fun/Log/KLineChart KLineChart}
EnableLog সক্রিয় করুন KLineChart