Blazor Grid Live Data Updates
La función de actualizaciones de datos en vivo Ignite UI for Blazor en Blazor Grid se utiliza para habilitar actualizaciones en tiempo real o casi en tiempo real de los datos que se muestran en la cuadrícula. Esto es extremadamente útil en aplicaciones donde los datos cambian constantemente, como los rastreadores del mercado de valores, los resultados deportivos en vivo o los paneles de control de IoT (Internet de las cosas). IgbGrid
puede manejar miles de actualizaciones por segundo y, al mismo tiempo, responder a las interacciones del usuario.
Ejemplo de actualización de datos en vivo Blazor
En el ejemplo siguiente se muestra el rendimiento de la cuadrícula cuando todos los registros se actualizan varias veces por segundo. Utilice los controles de la interfaz de usuario para elegir el número de registros cargados y la frecuencia de las actualizaciones. Introduzca los mismos datos en el Gráfico de columnas para experimentar las potentes capacidades de gráficos de Ignite UI for Angular. El Chart
botón mostrará los datos de Precios de categoría por región para las filas seleccionadas y el botón de Chart
columna mostrará lo mismo para la fila actual.
using System;
using System.Collections.Generic;
using System.Linq;
namespace Infragistics.Samples
{
public class FinancialLiveStock
{
public string indGrou { get; set; }
public string indSect { get; set; }
public string? indSubg { get; set; }
public string? secType { get; set; }
public string? cpnTyp { get; set; }
public string? issuerN { get; set; }
public string? moodys { get; set; }
public string? fitch { get; set; }
public string? dbrs { get; set; }
public string? collatT { get; set; }
public string? curncy { get; set; }
public string? security { get; set; }
public string? sector { get; set; }
public string? cusip { get; set; }
public string? ticker { get; set; }
public string? cpn { get; set; }
public string? maturity { get; set; }
public double? krD_3YR { get; set; }
public string? RISK_COUNTRY { get; set; }
public double? MUNI_SECTOR { get; set; }
public double? zV_SPREAD { get; set; }
public double? kRD_5YR { get; set; }
public double? kRD_1YR { get; set; }
public string? PD_WALA { get; set; }
public int id { get; set; }
public string category { get; set; }
public string type { get; set; }
public double spread { get; set; }
public double open { get; set; }
public double price { get; set; }
public double buy { get; set; }
public double sell { get; set; }
public double change { get; set; }
public double changeP { get; set; }
public double volume { get; set; }
public double high { get; set; }
public double low { get; set; }
public double annualHigh { get; set; }
public double annualLow { get; set; }
public double annualStart { get; set; }
public double annualChange { get; set; }
public string? region { get; set; }
public string? country { get; set; }
public string? settlement { get; set; }
public string? contract { get; set; }
public DateTime? lastUpdated { get; set; }
public double? openDiff { get; set; }
public double? buyDiff { get; set; }
public double? sellDiff { get; set; }
public double? annualStartDiff { get; set; }
public double? annualhighiff { get; set; }
public double? annuallowiff { get; set; }
public double? highDiff { get; set; }
public double? lowDiff { get; set; }
public double changePercent { get; set; }
public FinancialLiveStock Clone()
{
return this.MemberwiseClone() as FinancialLiveStock;
}
}
public class FinancialRegion
{
public string Name { get; set; }
public List<string> Countries { get; set; }
}
public class FinancialLiveData
{
public static List<string> Settlement = new List<string>() { "Deliverable", "Cash" };
public static List<string> Contract = new List<string>() { "Forwards", "Futures", "Options", "Swap", "CFD" };
public static List<FinancialRegion> Regions = new List<FinancialRegion> { new FinancialRegion() {
Name = "North America",
Countries= new List<string>() { "Canada", "US", "Mexico"}
},
new FinancialRegion() {
Name = "Middle East",
Countries= new List<string>() { "Turkey", "Iraq", "Saudi Arabia", "Syria", "UAE", "Israel", "Jordan", "Lebanon", "Oman", "Kuwait", "Qatar", "Bahrain", "Iran" }
},
new FinancialRegion() {
Name = "Europe",
Countries= new List<string>() { "Russia", "Germany", "France", "UK", "Italy", "Spain", "Poland", "Romania", "Netherlands", "Belgium", "Greece", "Portugal", "Czechia", "Hungary", "Sweden", "Austria", "Switzerland", "Bulgaria", "Denmark", "Finland", "Slovakia", "Norway", "Ireland", "Croatia", "Slovenia", "Estonia", "Iceland" }
},
new FinancialRegion() {
Name = "Africa",
Countries= new List<string>() { "Nigeria", "Ethiopia", "Egypt", "South Africa", "Algeria", "Morocco", "Cameroon", "Niger", "Senegal", "Tunisia", "Libya" }
},
new FinancialRegion() {
Name = "Asia Pacific",
Countries= new List<string>() { "Afghanistan", "Australia", "Azerbaijan", "China", "Hong Kong", "India", "Indonesia", "Japan", "Malaysia", "New Zealand", "Pakistan", "Philippines", "Korea", "Singapore", "Taiwan", "Thailand" }
},
new FinancialRegion() {
Name = "South America",
Countries= new List<string>() { "Argentina", "Bolivia", "Brazil", "Chile", "Colombia", "Ecuador", "Guyana", "Paraguay", "Peru", "Suriname", "Uruguay", "Venezuela" }
}};
public static DateTime RandomDate(Random gen)
{
var start = new DateTime(2000, 1, 1);
var range = (DateTime.Today - start).Days;
return start.AddDays(gen.Next(range)).AddHours(gen.Next(0, 24)).AddMinutes(gen.Next(0, 60)).AddSeconds(gen.Next(0, 60));
}
public static List<FinancialLiveStock> Generate(int count)
{
var liveData = new List<FinancialLiveStock>();
var mockData = MockData();
var random = new Random();
for (int i = 0; i < count; i++)
{
var region = Regions.ElementAt(random.Next(0, Regions.Count - 1));
int rand = random.Next(0, mockData.Count - 1);
var randStock = mockData[rand].Clone();
randStock.settlement = Settlement.ElementAt(random.Next(0, 1));
randStock.contract = Contract.ElementAt(random.Next(0, Contract.Count - 1));
randStock.lastUpdated = RandomDate(random);
randStock.openDiff = (((randStock.open - randStock.price) / randStock.price) * 100) * 150;
randStock.buyDiff = (((randStock.buy - randStock.price) / randStock.price) * 100) * 150;
randStock.sellDiff = (((randStock.sell - randStock.price) / randStock.price) * 100) * 150;
randStock.annualStartDiff = (((randStock.annualStart - randStock.price) / randStock.price) * 100) * 150;
randStock.annualhighiff = (((randStock.annualHigh - randStock.price) / randStock.price) * 100) * 150;
randStock.annuallowiff = (((randStock.annualLow - randStock.price) / randStock.price) * 100) * 150;
randStock.highDiff = (((randStock.high - randStock.price) / randStock.price) * 100) * 150;
randStock.lowDiff = (((randStock.low - randStock.price) / randStock.price) * 100) * 150;
randStock.region = region.Name;
randStock.country = region.Countries.ElementAt(random.Next(0, region.Countries.Count - 1));
randStock.indGrou = "Airlines";
randStock.indSect = "Consumer, Cyclical";
randStock.indSubg = "Airlines";
randStock.secType = "PUBLIC";
randStock.cpnTyp = "FIXED";
randStock.issuerN = "AMERICAN AIRLINES GROUP";
randStock.moodys = "WR";
randStock.fitch = "N.A.";
randStock.dbrs = "N.A.";
randStock.collatT = "NEW MONEY";
randStock.curncy = "USD";
randStock.security = "001765866 Pfd";
randStock.sector = "Pfd";
randStock.cusip = "1765866";
randStock.ticker = "AAL";
randStock.cpn = "7.875";
randStock.maturity = "7/13/1939";
randStock.krD_3YR = 0.00006;
randStock.RISK_COUNTRY = "";
randStock.MUNI_SECTOR = 1;
randStock.zV_SPREAD = 28.302;
randStock.kRD_5YR = 0;
randStock.kRD_1YR = -0.00187;
randStock.PD_WALA = null;
RandomizeStockPirce(randStock, random);
randStock.id = i;
liveData.Add(randStock);
}
return liveData;
}
public static List<FinancialLiveStock> UpdatePrices(List<FinancialLiveStock> originalData) {
var random = new Random();
var newFinancialLiveStocks = new List<FinancialLiveStock>();
for (int i = 0; i < originalData.Count; i++)
{
FinancialLiveStock data = originalData.ElementAt(i).Clone();
RandomizeStockPirce(data, random);
newFinancialLiveStocks.Add(data);
}
return newFinancialLiveStocks;
}
public static void RandomizeStockPirce(FinancialLiveStock stock, Random rand)
{
var res = GeneratePrice(stock.price, rand);
stock.change = res.price - stock.price;
stock.price = res.price;
stock.changeP = res.changePercent;
}
public static FinancialLiveStock GeneratePrice(double oldPrice, Random rand)
{
FinancialLiveStock FinancialLiveStock = new FinancialLiveStock();
double rnd = rand.NextDouble();
int volatility = 2;
double changePercent = 2 * volatility * rnd;
if (changePercent > volatility)
{
changePercent -= (2 * volatility);
}
double changeAmount = oldPrice * (changePercent / 100);
double newPrice = oldPrice + changeAmount;
FinancialLiveStock.price = newPrice;
FinancialLiveStock.changePercent = changePercent;
return FinancialLiveStock;
}
public static List<FinancialLiveStock> MockData()
{
List<FinancialLiveStock> data = new List<FinancialLiveStock>();
data.Add(new FinancialLiveStock
{
category = "Metals",
type = "Gold",
spread = 0.01,
open = 1281.10,
price = 1280.7317,
buy = 1280.7267,
sell = 1280.7367,
change = -0.3683,
changePercent = -0.0287,
volume = 48387,
high = 1289.50,
low = 1279.10,
annualHigh = 1306,
annualLow = 1047.20,
annualStart = 1176.60,
annualChange = 8.8502
});
data.Add(new FinancialLiveStock
{
category = "Metals",
type = "Silver",
spread = 0.01,
open = 17.43,
price = 17.42,
buy = 17.43,
sell = 17.43,
change = -0.01,
changePercent = -0.0574,
volume = 11720,
high = 17.51,
low = 17.37,
annualHigh = 18.06,
annualLow = 13.73,
annualStart = 15.895,
annualChange = 9.5942
});
data.Add(new FinancialLiveStock
{
category = "Metals",
type = "Copper",
spread = 0.02,
open = 2.123,
price = 2.113,
buy = 2.123,
sell = 2.123,
change = -0.01,
changePercent = -0.471,
volume = 28819,
high = 2.16,
low = 2.11,
annualHigh = 2.94,
annualLow = 1.96,
annualStart = 2.45,
annualChange = -13.7551
});
data.Add(new FinancialLiveStock
{
category = "Metals",
type = "Platinum",
spread = 0.01,
open = 1071.60,
price = 1071.0993,
buy = 1071.0943,
sell = 1071.1043,
change = -0.5007,
changePercent = -0.0467,
volume = 3039,
high = 1081.20,
low = 1070.50,
annualHigh = 1120.60,
annualLow = 812.40,
annualStart = 966.50,
annualChange = 10.8225
});
data.Add(new FinancialLiveStock
{
category = "Metals",
type = "Palladium",
spread = 0.01,
open = 600.55,
price = 601.0005,
buy = 600.9955,
sell = 601.0055,
change = 0.4505,
changePercent = 0.075,
volume = 651,
high = 607.20,
low = 598.40,
annualHigh = 690,
annualLow = 458.6,
annualStart = 574.3,
annualChange = 4.6492
});
data.Add(new FinancialLiveStock
{
category = "Fuel",
type = "Oil",
spread = 0.015,
open = 45.54,
price = 45.7899,
buy = 45.7824,
sell = 45.7974,
change = 0.2499,
changePercent = 0.5487,
volume = 107196,
high = 45.94,
low = 45.00,
annualHigh = 65.28,
annualLow = 30.79,
annualStart = 48.035,
annualChange = -4.6739
});
data.Add(new FinancialLiveStock
{
category = "Fuel",
type = "Natural Gas",
spread = 0.02,
open = 2.094,
price = 2.104,
buy = 2.094,
sell = 2.094,
change = 0.01,
changePercent = 0.4776,
volume = 2783,
high = 2.11,
low = 2.09,
annualHigh = 3.20,
annualLow = 1.84,
annualStart = 2.52,
annualChange = -16.5079
});
data.Add(new FinancialLiveStock
{
category = "Fuel",
type = "Diesel",
spread = 0.015,
open = 1.3474,
price = 1.3574,
buy = 1.3474,
sell = 1.3474,
change = 0.01,
changePercent = 0.7422,
volume = 2971,
high = 1.36,
low = 1.34,
annualHigh = 2.11,
annualLow = 0.92,
annualStart = 1.515,
annualChange = -10.4026
});
data.Add(new FinancialLiveStock
{
category = "Fuel",
type = "Ethanol",
spread = 0.01,
open = 1.512,
price = 2.7538,
buy = 2.7488,
sell = 2.7588,
change = 1.2418,
changePercent = 82.1323,
volume = 14,
high = 2.7538,
low = 1.1168,
annualHigh = 2.7538,
annualLow = 1.1168,
annualStart = 1.475,
annualChange = 86.7011
});
data.Add(new FinancialLiveStock
{
category = "Fuel",
type = "Uranium",
spread = 0.02,
open = 27.55,
price = 27.58,
buy = 27.55,
sell = 27.55,
change = 0.03,
changePercent = 0.1089,
volume = 12,
high = 27.55,
low = 27.55,
annualHigh = 29.32,
annualLow = 21.28,
annualStart = 25.30,
annualChange = 9.0119
});
data.Add(new FinancialLiveStock
{
category = "Fuel",
type = "Coal",
spread = 0.015,
open = 0.4363,
price = 0.4163,
buy = 0.4363,
sell = 0.4363,
change = -0.02,
changePercent = -4.584,
volume = 3,
high = 0.4363,
low = 0.4363,
annualHigh = 0.4841,
annualLow = 0.3954,
annualStart = 0.4398,
annualChange = -5.3326
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Wheat",
spread = 0.01,
open = 465.50,
price = 465.52,
buy = 465.50,
sell = 465.50,
change = 0.02,
changePercent = 0.0043,
volume = 4318,
high = 467.00,
low = 463.25,
annualHigh = 628.50,
annualLow = 449.50,
annualStart = 539.00,
annualChange = -13.6327
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Corn",
spread = 0.01,
open = 379.50,
price = 379.8026,
buy = 379.7976,
sell = 379.8076,
change = 0.3026,
changePercent = 0.0797,
volume = 11266,
high = 381.00,
low = 377.75,
annualHigh = 471.25,
annualLow = 351.25,
annualStart = 411.25,
annualChange = -7.6468
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Sugar",
spread = 0.01,
open = 15.68,
price = 14.6742,
buy = 14.6692,
sell = 14.6792,
change = -1.0058,
changePercent = -6.4146,
volume = 4949,
high = 15.70,
low = 14.6742,
annualHigh = 16.87,
annualLow = 11.37,
annualStart = 14.12,
annualChange = 3.9249
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Soybean",
spread = 0.01,
open = 1038.00,
price = 1038.6171,
buy = 1038.6121,
sell = 1038.6221,
change = 0.6171,
changePercent = 0.0595,
volume = 20356,
high = 1044.00,
low = 1031.75,
annualHigh = 1057.00,
annualLow = 859.50,
annualStart = 958.25,
annualChange = 8.3869
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Soy oil",
spread = 0.01,
open = 33.26,
price = 33.7712,
buy = 33.7662,
sell = 33.7762,
change = 0.5112,
changePercent = 1.5371,
volume = 10592,
high = 33.7712,
low = 33.06,
annualHigh = 35.43,
annualLow = 26.61,
annualStart = 31.02,
annualChange = 8.8692
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Soy Meat",
spread = 0.01,
open = 342.60,
price = 342.62,
buy = 342.60,
sell = 342.60,
change = 0.02,
changePercent = 0.0058,
volume = 5646,
high = 345.40,
low = 340.30,
annualHigh = 353.40,
annualLow = 261.70,
annualStart = 307.55,
annualChange = 11.403
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "OJ Future",
spread = 0.01,
open = 140.60,
price = 140.1893,
buy = 140.1843,
sell = 140.1943,
change = -0.4107,
changePercent = -0.2921,
volume = 7,
high = 140.1893,
low = 0.00,
annualHigh = 155.95,
annualLow = 113.00,
annualStart = 134.475,
annualChange = 4.2493
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Coffee",
spread = 0.01,
open = 125.70,
price = 125.69,
buy = 125.70,
sell = 125.70,
change = -0.01,
changePercent = -0.008,
volume = 1654,
high = 125.80,
low = 125.00,
annualHigh = 155.75,
annualLow = 115.35,
annualStart = 135.55,
annualChange = -7.2741
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Cocoa",
spread = 0.01,
open = 3076.00,
price = 3076.03,
buy = 3076.00,
sell = 3076.00,
change = 0.03,
changePercent = 0.001,
volume = 978,
high = 3078.00,
low = 3066.00,
annualHigh = 3406.00,
annualLow = 2746.00,
annualStart = 3076.00,
annualChange = 0.001
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Rice",
spread = 0.01,
open = 11.245,
price = 10.4154,
buy = 10.4104,
sell = 10.4204,
change = -0.8296,
changePercent = -7.3779,
volume = 220,
high = 11.38,
low = 10.4154,
annualHigh = 14.14,
annualLow = 9.70,
annualStart = 11.92,
annualChange = -12.6228
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Oats",
spread = 0.01,
open = 194.50,
price = 194.2178,
buy = 194.2128,
sell = 194.2228,
change = -0.2822,
changePercent = -0.1451,
volume = 64,
high = 195.75,
low = 194.00,
annualHigh = 241.25,
annualLow = 183.75,
annualStart = 212.50,
annualChange = -8.6034
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Milk",
spread = 0.01,
open = 12.87,
price = 12.86,
buy = 12.87,
sell = 12.87,
change = -0.01,
changePercent = -0.0777,
volume = 7,
high = 12.89,
low = 12.81,
annualHigh = 16.96,
annualLow = 12.81,
annualStart = 14.885,
annualChange = -13.6043
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Cotton",
spread = 0.01,
open = 61.77,
price = 61.76,
buy = 61.77,
sell = 61.77,
change = -0.01,
changePercent = -0.0162,
volume = 3612,
high = 62.06,
low = 61.32,
annualHigh = 67.59,
annualLow = 54.33,
annualStart = 60.96,
annualChange = 1.3123
});
data.Add(new FinancialLiveStock
{
category = "Agriculture",
type = "Lumber",
spread = 0.01,
open = 303.90,
price = 304.5994,
buy = 304.5944,
sell = 304.6044,
change = 0.6994,
changePercent = 0.2302,
volume = 2,
high = 304.5994,
low = 303.90,
annualHigh = 317.10,
annualLow = 236.00,
annualStart = 276.55,
annualChange = 10.1426
});
data.Add(new FinancialLiveStock
{
category = "LiveFinancialLiveStock",
type = "LV Cattle",
spread = 0.01,
open = 120.725,
price = 120.705,
buy = 120.725,
sell = 120.725,
change = -0.02,
changePercent = -0.0166,
volume = 4,
high = 120.725,
low = 120.725,
annualHigh = 147.98,
annualLow = 113.90,
annualStart = 130.94,
annualChange = -7.8166
});
data.Add(new FinancialLiveStock
{
category = "LiveFinancialLiveStock",
type = "FD Cattle",
spread = 0.01,
open = 147.175,
price = 148.6065,
buy = 148.6015,
sell = 148.6115,
change = 1.4315,
changePercent = 0.9727,
volume = 5,
high = 148.6065,
low = 147.175,
annualHigh = 190.00,
annualLow = 138.10,
annualStart = 164.05,
annualChange = -9.4139
});
data.Add(new FinancialLiveStock
{
category = "LiveFinancialLiveStock",
type = "Lean Hogs",
spread = 0.01,
open = 81.275,
price = 81.8146,
buy = 81.8096,
sell = 81.8196,
change = 0.5396,
changePercent = 0.664,
volume = 1,
high = 81.8146,
low = 81.275,
annualHigh = 83.98,
annualLow = 70.25,
annualStart = 77.115,
annualChange = 6.0943
});
data.Add(new FinancialLiveStock
{
category = "Currencies",
type = "BTC / USD",
spread = 0.06,
open = 93.88,
price = 21000.7719,
buy = 21200.7619,
sell = 21400.7819,
change = -1000.1081,
changePercent = -2.1151,
volume = 5788000,
high = 22400.05,
low = 20100.7534,
annualHigh = 62400.70,
annualLow = 15100.88,
annualStart = 21200.29,
annualChange = -20.6151
});
data.Add(new FinancialLiveStock
{
category = "Currencies",
type = "USD/JPY",
spread = 0.02,
open = 9275.50,
price = 9277.3342,
buy = 9277.3242,
sell = 9277.3442,
change = 1.8342,
changePercent = 0.0198,
volume = 47734,
high = 9277.3342,
low = 0.93,
annualHigh = 9483.00,
annualLow = 0.93,
annualStart = 4741.965,
annualChange = 95.6432
});
data.Add(new FinancialLiveStock
{
category = "Currencies",
type = "GBP/USD",
spread = 0.02,
open = 1.4464,
price = 1.1941,
buy = 1.1841,
sell = 1.2041,
change = -0.2523,
changePercent = -17.4441,
volume = 29450,
high = 1.45,
low = 1.1941,
annualHigh = 1.59,
annualLow = 1.1941,
annualStart = 1.485,
annualChange = -19.59
});
data.Add(new FinancialLiveStock
{
category = "Currencies",
type = "AUD / USD",
spread = 0.02,
open = 0.7344,
price = 0.7444,
buy = 0.7344,
sell = 0.7344,
change = 0.01,
changePercent = 1.3617,
volume = 36764,
high = 0.74,
low = 0.73,
annualHigh = 0.79,
annualLow = 0.68,
annualStart = 0.735,
annualChange = 1.2789
});
data.Add(new FinancialLiveStock
{
category = "Currencies",
type = "USD/CAD",
spread = 0.02,
open = 0.7744,
price = 0.9545,
buy = 0.9445,
sell = 0.9645,
change = 0.1801,
changePercent = 23.2622,
volume = 13669,
high = 0.9545,
low = 0.77,
annualHigh = 0.9545,
annualLow = 0.68,
annualStart = 0.755,
annualChange = 26.4295
});
data.Add(new FinancialLiveStock
{
category = "Currencies",
type = "USD/CHF",
spread = 0.02,
open = 1.0337,
price = 1.0437,
buy = 1.0337,
sell = 1.0337,
change = 0.01,
changePercent = 0.9674,
volume = 5550,
high = 1.03,
low = 1.03,
annualHigh = 1.11,
annualLow = 0.98,
annualStart = 1.045,
annualChange = -0.1244
});
data.Add(new FinancialLiveStock
{
category = "Index",
type = "DOW Future",
spread = 0.01,
open = 17711.00,
price = 17712.1515,
buy = 17712.1465,
sell = 17712.1565,
change = 1.1515,
changePercent = 0.0065,
volume = 22236,
high = 17727.00,
low = 17642.00,
annualHigh = 18083.00,
annualLow = 15299.00,
annualStart = 16691.00,
annualChange = 6.118
});
data.Add(new FinancialLiveStock
{
category = "Index",
type = "S & P Future",
spread = 0.01,
open = 2057.50,
price = 2056.6018,
buy = 2056.5968,
sell = 2056.6068,
change = -0.8982,
changePercent = -0.0437,
volume = 142780,
high = 2059.50,
low = 2049.00,
annualHigh = 2105.50,
annualLow = 1794.50,
annualStart = 1950.00,
annualChange = 5.4668
});
data.Add(new FinancialLiveStock
{
category = "Index",
type = "NAS Future",
spread = 0.01,
open = 4341.25,
price = 4341.28,
buy = 4341.25,
sell = 4341.25,
change = 0.03,
changePercent = 0.0007,
volume = 18259,
high = 4347.00,
low = 4318.00,
annualHigh = 4719.75,
annualLow = 3867.75,
annualStart = 4293.75,
annualChange = 1.107
});
data.Add(new FinancialLiveStock
{
category = "Index",
type = "S & P MID MINI",
spread = 0.01,
open = 1454.30,
price = 1455.7812,
buy = 1455.7762,
sell = 1455.7862,
change = 1.4812,
changePercent = 0.1018,
volume = 338,
high = 1455.7812,
low = 1448.00,
annualHigh = 1527.30,
annualLow = 1236.00,
annualStart = 1381.65,
annualChange = 5.3654
});
data.Add(new FinancialLiveStock
{
category = "Index",
type = "S & P 600 MINI",
spread = 0.01,
open = 687.90,
price = 687.88,
buy = 687.90,
sell = 687.90,
change = -0.02,
changePercent = -0.0029,
volume = 0,
high = 0.00,
low = 0.00,
annualHigh = 620.32,
annualLow = 595.90,
annualStart = 608.11,
annualChange = 13.1177
});
data.Add(new FinancialLiveStock
{
category = "Interest Rate",
type = "US 30YR Future",
spread = 0.01,
open = 164.875,
price = 164.1582,
buy = 164.1532,
sell = 164.1632,
change = -0.7168,
changePercent = -0.4347,
volume = 28012,
high = 165.25,
low = 164.0385,
annualHigh = 169.38,
annualLow = 151.47,
annualStart = 160.425,
annualChange = 2.3271
});
data.Add(new FinancialLiveStock
{
category = "Interest Rate",
type = "US 2Y Future",
spread = 0.01,
open = 109.3984,
price = 109.3884,
buy = 109.3984,
sell = 109.3984,
change = -0.01,
changePercent = -0.0091,
volume = 17742,
high = 109.41,
low = 109.38,
annualHigh = 109.80,
annualLow = 108.62,
annualStart = 109.21,
annualChange = 0.1634
});
data.Add(new FinancialLiveStock
{
category = "Interest Rate",
type = "US 10YR Future",
spread = 0.01,
open = 130.5625,
price = 130.5825,
buy = 130.5625,
sell = 130.5625,
change = 0.02,
changePercent = 0.0153,
volume = 189310,
high = 130.63,
low = 130.44,
annualHigh = 132.64,
annualLow = 125.48,
annualStart = 129.06,
annualChange = 1.1797
});
data.Add(new FinancialLiveStock
{
category = "Interest Rate",
type = "Euro$ 3M",
spread = 0.01,
open = 99.18,
price = 99.17,
buy = 99.18,
sell = 99.18,
change = -0.01,
changePercent = -0.0101,
volume = 29509,
high = 99.18,
low = 99.17,
annualHigh = 99.38,
annualLow = 98.41,
annualStart = 98.895,
annualChange = 0.2781
});
FinancialLiveStock randStock = new FinancialLiveStock(); // mockData[rand].Clone();
return data;
}
}
}
csusing System;
using System.Net.Http;
using System.Collections.Generic;
using System.Threading.Tasks;
using System.Text;
using Microsoft.AspNetCore.Components.WebAssembly.Hosting;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Logging;
using IgniteUI.Blazor.Controls; // for registering Ignite UI modules
namespace Infragistics.Samples
{
public class Program
{
public static async Task Main(string[] args)
{
var builder = WebAssemblyHostBuilder.CreateDefault(args);
builder.RootComponents.Add<App>("app");
builder.Services.AddScoped(sp => new HttpClient { BaseAddress = new Uri(builder.HostEnvironment.BaseAddress) });
// registering Ignite UI modules
builder.Services.AddIgniteUIBlazor(
typeof(IgbGridModule)
);
await builder.Build().RunAsync();
}
}
}
cs
@using IgniteUI.Blazor.Controls
@inject IJSRuntime JS
<style>
/* shared styles are loaded from: */
/* https://static.infragistics.com/xplatform/css/samples */
.gridSize {
--ig-size: var(--ig-size-small);
}
.controls-holder {
display: flex;
justify-content: space-between;
align-items: center;
flex-wrap: wrap;
padding: 15px;
}
.control-item {
flex-grow: 1;
}
.FinJSToast {
z-index: 2;
}
.switch-control-item {
flex-basis: fit-content;
}
.switches {
display: flex;
justify-content: space-between;
align-items: center;
flex: 1 0 0%;
padding-inline-end: 20px;
font-size: 0.9rem;
gap: 20px;
}
.finjs-play-controls {
display: flex;
gap: 10px;
flex: 1 0 0%;
}
.finjs-play-controls > igc-button {
flex-grow: 1;
}
.finjs-slider {
width: 100%;
min-width: 85px;
}
.finjs-icons {
display: flex;
align-items: center;
}
.finjs-icons > igc-icon {
font-size: 16px;
width: 16px;
height: 16px;
margin-inline-start: 4px;
}
.changePos,
.changeNeg,
.strongPositive,
.strongNegative {
color: rgb(0, 0, 0);
}
.changePos > .igx-grid__td-text {
border-inline-end: 4px solid rgb(76, 184, 96);
padding-inline-end: 15px;
}
.changePos1 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(76, 184, 96);
padding-inline-end: 15px;
}
.changePos2 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(76, 184, 96);
padding-inline-end: 15px;
}
.changeNeg > .igx-grid__td-text {
border-inline-end: 4px solid rgb(255, 20, 75);
padding-inline-end: 9px;
}
.changeNeg1 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(255, 20, 75);
padding-inline-end: 9px;
}
.changeNeg2 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(255, 20, 75);
padding-inline-end: 15px;
}
.positive {
color: rgb(76, 184, 96);
}
.strongPositive2 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(76, 184, 96);
padding-inline-end: 15px;
}
.negative {
color: rgb(255, 20, 75);
}
.strongNegative2 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(255, 20, 75);
padding-inline-end: 15px;
}
</style>
<div class="container vertical">
<div class="controls-holder">
<div class="switches">
<div class="switch-control-item">
<IgbSwitch Checked=true CheckedChanged="ToggleGroups">Grouped</IgbSwitch>
</div>
<div class="switch-control-item">
<IgbSwitch Checked=true CheckedChanged="ToggleToolbar">Toolbar</IgbSwitch>
</div>
<div class="control-item">
<label>Records: @RecordsCount</label>
<IgbSlider @ref=slider1 Class="finjs-slider" Change=OnRecordsChange Max="10000" Step="100"></IgbSlider>
</div>
<div class="control-item">
<label>Frequency: @Frequency</label>
<IgbSlider @ref=slider2 Class="finjs-slider" Change="OnFrequencyChange" LowerBound="100" Min="100" Max="3000" Step="10"></IgbSlider>
</div>
</div>
<div class="control-item finjs-play-controls">
<IgbButton @ref=StartButton Variant="ButtonVariant.Outlined" @onclick=OnToggleLiveFeed>
<IgbIcon @ref="icon" IconName="update" Collection="material"></IgbIcon>@CurrentPriceStatus
</IgbButton>
<IgbButton @ref=ShowChartButton Variant="ButtonVariant.Outlined" @onclick="ShowChart">
<IgbIcon IconName="insert_chart" Collection="material"></IgbIcon>Chart
</IgbButton>
</div>
</div>
<div class="container vertical fill">
<IgbGrid Class="gridSize"
AutoGenerate="false"
RowSelection="GridSelectionMode.Multiple"
PrimaryKey="id"
AllowFiltering="true"
FilterMode="FilterMode.ExcelStyleFilter"
HideGroupedColumns=true
CellClick="OnCellClick"
Name="grid1"
Id="grid1"
@ref="grid1">
<IgbGridToolbar>
<IgbGridToolbarActions>
<IgbGridToolbarHiding></IgbGridToolbarHiding>
<IgbGridToolbarPinning></IgbGridToolbarPinning>
<IgbGridToolbarExporter></IgbGridToolbarExporter>
</IgbGridToolbarActions>
</IgbGridToolbar>
@*<IgbColumn Field="id"
Header="id"
DataType="GridColumnDataType.Number"
Sortable="true"
Editable="true"
Resizable="true">
</IgbColumn>*@
<IgbColumn Field="category"
Header="Category"
Width="120px"
DataType="GridColumnDataType.String"
Sortable="true"
Editable="true"
Resizable="true">
</IgbColumn>
<IgbColumn Field="type"
Header="Type"
Width="100px"
DataType="GridColumnDataType.String"
Sortable="true"
Editable="true"
Resizable="true">
</IgbColumn>
<IgbColumn Field="contract"
Header="Contract"
Width="110px"
DataType="GridColumnDataType.String"
Sortable="true"
Groupable="true"
Editable="true">
</IgbColumn>
<IgbColumn Field="country"
Width="100px"
Header="Country"
DataType="GridColumnDataType.String"
Sortable="true"
Editable="true">
</IgbColumn>
@*<IgbColumn Field="region"
Width="100px"
Header="Region"
DataType="GridColumnDataType.String"
Sortable="true"
Editable="true">
</IgbColumn>*@
<IgbColumn Field="open"
Width="100px"
Header="Open"
DataType="GridColumnDataType.Currency"
Sortable="true"
Filterable="true"
Editable="true">
</IgbColumn>
<IgbColumn Field="price"
Width="100px"
Header="Price"
BodyTemplateScript="PriceTemplate"
CellClassesScript="trends"
DataType="GridColumnDataType.Currency"
Sortable="true"
Filterable="true"
Editable="true">
</IgbColumn>
<IgbColumn Field="Chart"
BodyTemplate="ChartButtonTemplate"
Width="100px"
Header="Chart">
</IgbColumn>
<IgbColumn Field="change"
Width="120px"
Header="Change"
CellClassesScript="trendsChange"
DataType="GridColumnDataType.Number"
Sortable="true"
Filterable="true"
Editable="true">
</IgbColumn>
<IgbColumn Field="changeP"
CellClassesScript="trendsChange"
Width="120px"
Header="Change %"
DataType="GridColumnDataType.Percent"
Sortable="true"
Filterable="true"
Editable="true">
</IgbColumn>
<IgbColumn Field="buy"
Width="110px"
Header="Buy"
DataType="GridColumnDataType.Currency"
Sortable="true"
Filterable="true">
</IgbColumn>
<IgbColumn Field="sell"
Width="110px"
Header="Sell"
DataType="GridColumnDataType.Currency"
Sortable="true"
Filterable="true">
</IgbColumn>
<IgbColumn Field="spread"
Width="110px"
Header="Spread"
DataType="GridColumnDataType.Number"
Sortable="true"
Filterable="true">
</IgbColumn>
<IgbColumn Field="volume"
Width="110px"
Header="Volume"
DataType="GridColumnDataType.Number"
Sortable="true"
Filterable="true">
</IgbColumn>
<IgbColumn Field="settlement"
Width="100px"
Header="Settlement"
DataType="GridColumnDataType.String"
Sortable="true"
Editable="true"
Resizable="true">
</IgbColumn>
<IgbColumn Field="lastUpdated"
Width="120px"
Header="Last Updated"
DataType="GridColumnDataType.Date"
Sortable="true"
Filterable="true"
Editable="true">
</IgbColumn>
<IgbColumn Field="high"
Width="110px"
DataType="GridColumnDataType.Currency"
Sortable="true"
Filterable="true">
</IgbColumn>
<IgbColumn Field="low"
Width="110px"
DataType="GridColumnDataType.Currency"
Sortable="true"
Filterable="true">
</IgbColumn>
<IgbColumn Field="annaulHigh"
Width="110px"
DataType="GridColumnDataType.Currency"
Sortable="true"
Filterable="true">
</IgbColumn>
<IgbColumn Field="annaulLow"
Width="110px"
DataType="GridColumnDataType.Currency"
Sortable="true"
Filterable="true">
</IgbColumn>
<IgbColumn Field="indGrou"
Width="110px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="indSect"
Width="100px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="indSubg"
Width="100px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="secType"
Width="90px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="issuerN"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="moodys"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="fitch"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="dbrs"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="collatT"
Width="90px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="curncy"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="security"
Width="120px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="sector"
Width="80px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="cusip"
Width="100px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="ticker"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="cpn"
Width="80px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="maturity"
Width="120px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="krD_3YR"
Width="110px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="zV_SPREAD"
Width="90px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="kRD_5YR"
Width="50px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="kRD_1YR"
Width="80px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="indGrou"
Width="110px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="indSect"
Width="100px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="indSubg"
Width="100px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="secType"
Width="90px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="issuerN"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="moodys"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="fitch"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="dbrs"
Width="60px"
Filterable="false">
</IgbColumn>
<IgbColumn Field="collatT"
Width="90px"
Filterable="false">
</IgbColumn>
</IgbGrid>
</div>
<IgbDialog @ref="Dialog">
<IgbCategoryChart ChartType="CategoryChartType.Column" Width="500px" Height="400px" @ref=Chart></IgbCategoryChart>
</IgbDialog>
<IgbToast Class="FinJSToast" @ref="Toast">Please select some rows first!</IgbToast>
</div>
@code {
public IgbGroupingExpression[] GroupingExpressions = new IgbGroupingExpression[3]
{
new IgbGroupingExpression(){ FieldName = "category", Dir= SortingDirection.Desc },
new IgbGroupingExpression() { FieldName = "type", Dir= SortingDirection.Desc },
new IgbGroupingExpression() { FieldName = "contract", Dir= SortingDirection.Desc, IgnoreCase = false }
};
private string trendUp = @"<svg xmlns=""http://www.w3.org/2000/svg"" height=""48"" viewBox=""0 -960 960 960"" width=""48""><path d=""m123-240-43-43 292-291 167 167 241-241H653v-60h227v227h-59v-123L538-321 371-488 123-240Z""/></svg>";
private string trendDown = @"<svg xmlns =""http://www.w3.org/2000/svg"" height=""48"" viewBox=""0 -960 960 960"" width=""48""><path d=""M653-240v-60h127L539-541 372-374 80-665l43-43 248 248 167-167 283 283v-123h59v227H653Z""/></svg>";
private string chartIcon = @"<svg xmlns=""http://www.w3.org/2000/svg"" height=""48"" viewBox=""0 -960 960 960"" width=""48""><path d=""M284-277h60v-275h-60v275Zm166 0h60v-406h-60v406Zm166 0h60v-148h-60v148ZM180-120q-24 0-42-18t-18-42v-600q0-24 18-42t42-18h600q24 0 42 18t18 42v600q0 24-18 42t-42 18H180Zm0-60h600v-600H180v600Zm0-600v600-600Z""/></svg>";
private string stopIcon = @"<svg xmlns=""http://www.w3.org/2000/svg"" height=""48"" viewBox=""0 -960 960 960"" width=""48""><path d=""M300-660v360-360Zm-60 420v-480h480v480H240Zm60-60h360v-360H300v360Z""/></svg >";
private string updateIcon = @"<svg xmlns=""http://www.w3.org/2000/svg"" height=""48"" viewBox=""0 -960 960 960"" width=""48""><path d=""M483-120q-75 0-141-28.5T226.5-226q-49.5-49-78-115T120-482q0-75 28.5-140t78-113.5Q276-784 342-812t141-28q80 0 151.5 35T758-709v-106h60v208H609v-60h105q-44-51-103.5-82T483-780q-125 0-214 85.5T180-485q0 127 88 216t215 89q125 0 211-88t86-213h60q0 150-104 255.5T483-120Zm122-197L451-469v-214h60v189l137 134-43 43Z""/></svg>";
private List<FinancialLiveStock> CurrentData;
public bool Grouped;
private IgbGrid grid1;
private IgbIcon icon;
private IgbButton StartButton;
private IgbButton ShowChartButton;
private IgbSlider slider1;
private IgbSlider slider2;
public int RecordsCount = 1000;
public int Frequency = 500;
public System.Threading.Timer Timer;
public IgbCategoryChart Chart;
public IgbDialog Dialog;
public IgbToast Toast;
public object[] SelectedRows;
public string CurrentPriceStatus = "START PRICES";
protected override async Task OnAfterRenderAsync(bool firstRender)
{
var grid1 = this.grid1;
var icon = this.icon;
if (icon != null && firstRender)
{
await icon.EnsureReady();
await icon.RegisterIconFromTextAsync("trending_up", this.trendUp, "material");
await icon.RegisterIconFromTextAsync("trending_down", this.trendDown, "material");
await icon.RegisterIconFromTextAsync("insert_chart", this.chartIcon, "material");
await icon.RegisterIconFromTextAsync("stop", this.stopIcon, "material");
await icon.RegisterIconFromTextAsync("update", this.updateIcon, "material");
}
if (grid1 != null && firstRender)
{
this.CurrentData = FinancialLiveData.Generate(RecordsCount);
grid1.Data = this.CurrentData;
grid1.GroupingExpressions = this.GroupingExpressions;
}
if (slider1 != null && firstRender)
{
await slider1.EnsureReady();
slider1.StepUp(10);
}
if (slider2 != null && firstRender)
{
await slider2.EnsureReady();
slider2.StepUp(40);
}
}
public RenderFragment<IgbCellTemplateContext> ChartButtonTemplate = (context) =>
{
return
@<IgbButton Variant="ButtonVariant.Contained" Size="SizableComponentSize.Small">
<IgbIcon IconName="insert_chart" Collection="material"></IgbIcon>
</IgbButton>
;
};
private void OnRecordsChange(IgbNumberEventArgs e)
{
if (e != null)
{
RecordsCount = Convert.ToInt32(e.Detail);
this.CurrentData = FinancialLiveData.Generate(RecordsCount);
grid1.Data = this.CurrentData;
}
}
private void OnFrequencyChange(IgbNumberEventArgs e)
{
if (e != null)
{
Frequency = Convert.ToInt32(e.Detail);
}
}
public bool IsFeedDisabled = false;
public void OnToggleLiveFeed()
{
IsFeedDisabled = !IsFeedDisabled;
if (IsFeedDisabled)
OnStart();
else
OnStop();
}
public void OnStart()
{
this.ShowChartButton.Disabled = true;
this.CurrentPriceStatus = "STOP PRICES";
var startTimeSpan = TimeSpan.Zero;
var periodTimeSpan = TimeSpan.FromMilliseconds(Frequency);
this.Timer = new System.Threading.Timer((e) =>
{
grid1.Data = FinancialLiveData.UpdatePrices(this.CurrentData);
}, null, startTimeSpan, periodTimeSpan);
}
public void OnStop()
{
this.Timer.Dispose();
this.ShowChartButton.Disabled = false;
this.CurrentPriceStatus = "START PRICES";
}
public async void ShowChart()
{
this.SelectedRows = this.grid1.SelectedRows;
if (this.SelectedRows == null || this.SelectedRows.Length == 0)
{
await this.Toast.ShowAsync();
return;
}
this.Chart.DataSource = this.SelectedRows;
this.Chart.IncludedProperties = new string[2] { "price", "country" };
this.SetChartConfig("Countries", "Prices (USD)", "Data Chart with prices by Category and Country");
await this.Dialog.ShowAsync();
}
public void OnCellClick(IgbGridCellEventArgs e)
{
int colIndex = e.Detail.Cell.Id.ColumnID;
IgbColumn column = grid1.GetColumns().ElementAt(colIndex);
if (column.Field == "Chart")
{
string key = e.Detail.Cell.Id.RowID;
this.ShowChartForRow(key);
}
}
public async void ShowChartForRow(string key)
{
int pk = Convert.ToInt32(key);
FinancialLiveStock rowData = (FinancialLiveStock)(await this.grid1.GetRowDataAsync(pk));
var rows = this.CurrentData.Where(item => item.region == rowData.region && item.category == rowData.category);
this.SelectedRows = rows.ToArray();
this.Chart.DataSource = this.SelectedRows;
this.Chart.IncludedProperties = new string[2] { "price", "country" };
this.SetChartConfig("Countries", "Prices (USD)", "Data Chart with prices of " + rowData.category + " in " + rowData.region + " Region");
await this.Dialog.ShowAsync();
}
public void SetChartConfig(string xAsis, string yAxis, string title)
{
this.SetLabelIntervalAndAngle();
this.Chart.XAxisTitle = xAsis;
this.Chart.YAxisTitle = yAxis;
this.Chart.ChartTitle = title;
}
public void SetLabelIntervalAndAngle()
{
int intervalSet = this.SelectedRows.Count();
if (intervalSet < 10)
{
this.Chart.XAxisLabelAngle = 0;
this.Chart.XAxisInterval = 1;
}
else if (intervalSet < 15)
{
this.Chart.XAxisLabelAngle = 30;
this.Chart.XAxisInterval = 1;
}
else if (intervalSet < 40)
{
this.Chart.XAxisLabelAngle = 90;
this.Chart.XAxisInterval = 1;
}
else if (intervalSet < 100)
{
this.Chart.XAxisLabelAngle = 90;
this.Chart.XAxisInterval = 3;
}
else if (intervalSet < 200)
{
this.Chart.XAxisLabelAngle = 90;
this.Chart.XAxisInterval = 5;
}
else if (intervalSet < 400)
{
this.Chart.XAxisLabelAngle = 90;
this.Chart.XAxisInterval = 7;
}
else if (intervalSet > 400)
{
this.Chart.XAxisLabelAngle = 90;
this.Chart.XAxisInterval = 10;
}
this.Chart.YAxisAbbreviateLargeNumbers = true;
}
public async void ToggleToolbar(bool isChecked)
{
await JS.InvokeAsync<string>("ToobarToggle");
}
public async void ToggleGroups(bool isChecked)
{
if (isChecked)
{
this.grid1.GroupingExpressions = this.GroupingExpressions;
}
else
{
this.grid1.GroupingExpressions = new IgbGroupingExpression[0];
}
}
}
razorigRegisterScript("PriceTemplate", (ctx) => {
var html = window.igTemplating.html;
var cell = ctx.cell;
var rowData = grid1.getRowData(cell.id.rowID);
var icon = this.trends.positive(rowData) ? "trending_up" : "trending_down";
var value = cell.value.toFixed(2);
return html`
<div class="finjs-icons">
<span>$${value}</span>
<igc-icon name="${icon}" collection="material"></igc-icon>
</div>
`;
}, false);
igRegisterScript("trends", () => this.trends, true);
igRegisterScript("trendsChange", () => this.trendsChange, true);
var ToobarToggle = () => {
var toolbar = document.getElementsByTagName("igc-grid-toolbar")[0];
toolbar.hidden = !toolbar.hidden;
}
var negative = (rowData) => rowData['changeP'] < 0;
var positive = (rowData) => rowData['changeP'] > 0;
var changeNegative = (rowData) => rowData['changeP'] < 0 && rowData['changeP'] > -1;
var changePositive = (rowData) => rowData['changeP'] > 0 && rowData['changeP'] < 1;
var strongPositive = (rowData) => rowData['changeP'] >= 1;
var strongNegative = (rowData) => rowData['changeP'] <= -1;
var trends = {
changeNeg: this.changeNegative,
changePos: this.changePositive,
negative: this.negative,
positive: this.positive,
strongNegative: this.strongNegative,
strongPositive: this.strongPositive
};
var trendsChange = {
changeNeg2: this.changeNegative,
changePos2: this.changePositive,
strongNegative2: this.strongNegative,
strongPositive2: this.strongPositive
};
js/* shared styles are loaded from: */
/* https://static.infragistics.com/xplatform/css/samples */
.gridSize {
--ig-size: var(--ig-size-small);
}
.controls-holder {
display: flex;
justify-content: space-between;
align-items: center;
flex-wrap: wrap;
padding: 15px;
}
.control-item {
flex-grow: 1;
}
.FinJSToast {
z-index: 2;
}
.switch-control-item {
flex-basis: fit-content;
}
.switches {
display: flex;
justify-content: space-between;
align-items: center;
flex: 1 0 0%;
padding-inline-end: 20px;
font-size: 0.9rem;
gap: 20px;
}
.finjs-play-controls {
display: flex;
gap: 10px;
flex: 1 0 0%;
}
.finjs-play-controls > igc-button {
flex-grow: 1;
}
.finjs-slider {
width: 100%;
min-width: 85px;
}
.finjs-icons {
display: flex;
align-items: center;
}
.finjs-icons > igc-icon {
font-size: 16px;
width: 16px;
height: 16px;
margin-inline-start: 4px;
}
.changePos,
.changeNeg,
.strongPositive,
.strongNegative {
color: rgb(0, 0, 0);
}
.changePos > .igx-grid__td-text {
border-inline-end: 4px solid rgb(76, 184, 96);
padding-inline-end: 15px;
}
.changePos1 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(76, 184, 96);
padding-inline-end: 15px;
}
.changePos2 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(76, 184, 96);
padding-inline-end: 15px;
}
.changeNeg > .igx-grid__td-text {
border-inline-end: 4px solid rgb(255, 20, 75);
padding-inline-end: 9px;
}
.changeNeg1 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(255, 20, 75);
padding-inline-end: 9px;
}
.changeNeg2 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(255, 20, 75);
padding-inline-end: 15px;
}
.positive {
color: rgb(76, 184, 96);
}
.strongPositive2 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(76, 184, 96);
padding-inline-end: 15px;
}
.negative {
color: rgb(255, 20, 75);
}
.strongNegative2 > .igx-grid__td-text {
border-inline-end: 4px solid rgb(255, 20, 75);
padding-inline-end: 15px;
}
css
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Vinculación de datos y actualizaciones
Un servicio proporciona datos al componente cuando se carga la página y cuando se utiliza el controlador deslizante para recuperar una cierta cantidad de registros. Mientras que en un escenario real los datos actualizados se consumirían desde el servicio, aquí los datos se actualizan en código. Esto se hace para mantener la demostración simple y enfocarse en su objetivo principal: demostrar el rendimiento de la red.
<IgbGrid Id="grid1" @ref="grid1"><IgbGrid>
Razor
public void OnStart()
{
this.StartButton.Disabled = true;
this.ShowChartButton.Disabled = true;
this.StopButton.Disabled = false;
var startTimeSpan = TimeSpan.Zero;
var periodTimeSpan = TimeSpan.FromMilliseconds(Frequency);
this.Timer = new System.Threading.Timer((e) =>
{
grid1.Data = this.FinancialDataClass.UpdateRandomPrices(this.CurrentStocks);
}, null, startTimeSpan, periodTimeSpan);
}
razor
Un cambio en el valor del campo de datos o un cambio en el objeto de datos/referencia de recopilación de datos activará las canalizaciones correspondientes. Sin embargo, este no es el caso de las columnas, que están vinculadas a objetos de datos complejos. Para resolver la situación, proporcione una nueva referencia de objeto para el objeto de datos que contiene la propiedad. Ejemplo:
<IgbGrid>
<IgbColumn Field="price.usd"></IgbColumn>
</IgbGrid>
Razor
grid1.Data = this.FinancialDataClass.UpdateRandomPrices(this.CurrentStocks);
razor
Plantillas
La actualización de la vista funciona de la misma manera para columnas con una plantilla predeterminada y para columnas con una plantilla personalizada. Sin embargo, se recomienda mantener las plantillas personalizadas relativamente simples. A medida que crece el número de elementos en la plantilla, también aumenta el impacto negativo en el rendimiento.
Referencias de API
IgbGrid
Cell
Recursos adicionales
- Virtualización y rendimiento
- Paginación
- Filtración
- Clasificación
- resúmenes
- Columna en movimiento
- Fijación de columnas
- Cambio de tamaño de columna
- Selección
Nuestra comunidad es activa y siempre da la bienvenida a nuevas ideas.