本文整理汇总了C#中System.Windows.Forms.DataVisualization.Charting.Series.Sort方法的典型用法代码示例。如果您正苦于以下问题：C# Series.Sort方法的具体用法？C# Series.Sort怎么用？C# Series.Sort使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类System.Windows.Forms.DataVisualization.Charting.Series的用法示例。
在下文中一共展示了Series.Sort方法的5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C#代码示例。
示例1: SetChart
public static void SetChart(Dictionary<string, int> rawValues, Chart chart)
{
int fmin = 0;
int fmax = 1;
if (rawValues.Count > 0)
{
fmax = rawValues.Max(x => x.Value);
fmin = rawValues.Min(x => x.Value);
}
//series init
chart.Series.Clear();
// chart.Tag = values;
var s = new Series();
s.ChartType = SeriesChartType.Bar;
foreach (var kvp in rawValues)
{
s.Points.AddXY(kvp.Key, kvp.Value);
var dpc = s.Points[s.Points.Count - 1];
dpc.Color = ColorExtras.GetRedGreenBlendedColour(kvp.Value, 0, fmax);
dpc.ToolTip = kvp.Key + ":" + kvp.Value;
}
s.YAxisType = AxisType.Primary;
s.XAxisType = AxisType.Secondary;
s.IsVisibleInLegend = false;
chart.Series.Add(s);
//chartarea init
chart.ChartAreas.Clear();
var ca = new ChartArea();
// ca.CursorX.IsUserEnabled = true;
// ca.CursorX.IsUserSelectionEnabled = true;
ca.AxisX2.ScrollBar.IsPositionedInside = false;
ca.AxisX2.ScaleView.Size = zoomMax;
ca.AxisX2.ScaleView.Position=rawValues.Count-ca.AxisX2.ScaleView.Size;
ca.AxisX2.Interval = 1;
ca.AxisY.Interval = MathExtras.Ceiling((Math.Abs(fmax) - Math.Abs(fmin)) / 8);
if (ca.AxisY.Interval<1)
ca.AxisY.Interval = 1;
ca.AxisY.Minimum = fmin;
ca.AxisY.Maximum = fmax;
if (Math.Abs(ca.AxisY.Minimum - ca.AxisY.Maximum) < 1)
ca.AxisY.Minimum--;
s.Sort(PointSortOrder.Ascending);
chart.ChartAreas.Add(ca);
}示例2: createChartStation
public Chart createChartStation( int station, String echelle, String type )
{
Dictionary<int, KeyValuePair<double, double>> statsTab;
if ( type == "Arrondissement" ) {
statsTab = this.StatistiquesArrondissement( convertStationToDistrict( station ) ,echelle);
}
else if ( type == "Paris" ) {
statsTab = this.StatistiquesParis(echelle);
}
else {
if ( echelle == "Heure" ) {
statsTab = LocalDataBase.statsTabHeure[ station ];
}
else if ( echelle == "Jour" ) {
statsTab = LocalDataBase.statsTabJour[ station ];
}
else {
statsTab = LocalDataBase.statsTabHeureOuvre[ station ];
}
}
Chart chartStat;
ChartArea meanArea = new ChartArea();
Series plusEcart = new Series("EcartType");
meanArea.AxisY.Title = "Moyenne disponibilité";
meanArea.AxisX.Title = echelle;
meanArea.AxisX.TitleFont = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
meanArea.AxisY.TitleFont = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
meanArea.Name = "StatArea";
meanArea.AxisX.MajorGrid.Enabled = false;
Legend legendStat = new Legend();
Series seriesStat = new Series( "Moyenne disponibilité " + echelle );
chartStat = new System.Windows.Forms.DataVisualization.Charting.Chart();
((System.ComponentModel.ISupportInitialize) (chartStat)).BeginInit();
foreach(int temps in statsTab.Keys){
seriesStat.Points.AddXY(temps,statsTab[ temps ].Key );
}
foreach ( int temps in statsTab.Keys ) {
double varUp =0.95 ;
if ( statsTab[ temps ].Key + Math.Sqrt( statsTab[ temps ].Value ) < 0.95 ) {
varUp = statsTab[ temps ].Key + statsTab[ temps ].Value ;
}
double varDw = 0.05;
if ( statsTab[ temps ].Key - Math.Sqrt( statsTab[ temps ].Value ) > 0.05 ) {
varDw = statsTab[ temps ].Key - statsTab[ temps ].Value ;
}
//double varUp = statsTab[ temps ].Key + statsTab[ temps ].Value ;
//double varDw = statsTab[ temps ].Key - statsTab[ temps ].Value ;
//double[] dataD = new double[] { statsTab[ temps ].Key ,var, statsTab[ temps ].Key + Math.Sqrt(statsTab[ temps ].Value)};
double[] dataD = new double[] { statsTab[ temps ].Key, varDw , varUp };
DataPoint point = new DataPoint(temps,dataD);
plusEcart.Points.Add(point);
}
seriesStat.Sort( PointSortOrder.Ascending, "X" );
seriesStat.Color = System.Drawing.Color.Purple;
plusEcart.Color = System.Drawing.Color.RoyalBlue;
seriesStat.BorderWidth = 2;
plusEcart.BorderWidth = 1;
plusEcart.Sort( PointSortOrder.Ascending, "X" );
chartStat.Series.Add( seriesStat );
chartStat.Series.Add( plusEcart );
chartStat.ChartAreas.Add( meanArea );
chartStat.BackColor = System.Drawing.Color.Silver;
meanArea.BackColor = System.Drawing.Color.LightGray;
legendStat.Name = "legend";
//legendStat.DockedToChartArea = "StatArea";
legendStat.Docking = Docking.Bottom;
Title titre;
chartStat.Legends.Add( legendStat );
if ( type == "Arrondissement" ) {
titre = new Title( type + " " + convertStationToDistrict( station ));
}
else if ( type == "Paris" ) {
titre = new Title( type + " ");
}
else {
titre = new Title( type + " " + station );
}
titre.Font = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
chartStat.Titles.Add( titre );
chartStat.Size = new System.Drawing.Size( 500, 300 );
seriesStat.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
plusEcart.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.ErrorBar;
((System.ComponentModel.ISupportInitialize) (chartStat)).EndInit();
return chartStat;
//.........这里部分代码省略.........
示例3: createChartCentroides
public Chart createChartCentroides( double[] centroideI,int numeroCentroide, String echelle )
{
Chart chartStat;
ChartArea meanArea = new ChartArea();
meanArea.AxisY.Title = "Moyenne disponibilité";
meanArea.AxisX.Title = echelle;
meanArea.AxisX.TitleFont = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
meanArea.AxisY.TitleFont = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
meanArea.Name = "StatArea";
meanArea.AxisX.MajorGrid.Enabled = false;
Legend legendStat = new Legend();
Series seriesStat = new Series( "Centroïde numéro "+ numeroCentroide + " Représentation par " + echelle );
chartStat = new System.Windows.Forms.DataVisualization.Charting.Chart();
((System.ComponentModel.ISupportInitialize) (chartStat)).BeginInit();
for(int i = 0 ; i < centroideI.GetLength(0); i++) {
seriesStat.Points.AddXY(i+1,centroideI[i]);
}
seriesStat.Sort( PointSortOrder.Ascending, "X" );
seriesStat.Color = System.Drawing.Color.FromName(colors[numeroCentroide]);
seriesStat.BorderColor = System.Drawing.Color.Black;
seriesStat.BorderWidth = 2;
chartStat.Series.Add( seriesStat );
chartStat.ChartAreas.Add( meanArea );
chartStat.BackColor = System.Drawing.Color.Silver;
meanArea.BackColor = System.Drawing.Color.LightGray;
legendStat.Name = "legend";
legendStat.Docking = Docking.Bottom;
Title titre = new Title("Caractéristiques du centroïde " + numeroCentroide);
chartStat.Legends.Add( legendStat );
titre.Font = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
chartStat.Titles.Add( titre );
chartStat.Size = new System.Drawing.Size( 500, 300 );
seriesStat.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
((System.ComponentModel.ISupportInitialize) (chartStat)).EndInit();
return chartStat;
}示例4: createChartPOIs
public Chart createChartPOIs( Dictionary<int,int> clusters,int nbClusters)
{
Chart chartStat;
ChartArea meanArea = new ChartArea();
double[] histoMoyenneCluster = new double[nbClusters ];
int[] compteur = new int[nbClusters];
for ( int i = 0 ; i < histoMoyenneCluster.Length ; i++ ) {
histoMoyenneCluster[ i ] = 0.0;
compteur[i] = 0;
}
foreach ( int station in clusters.Keys ) {
histoMoyenneCluster[ clusters[ station ] ] += poiNumber[ station ];
compteur[clusters[ station ]]++;
}
for ( int i = 0 ; i < histoMoyenneCluster.Length ; i++ ) {
histoMoyenneCluster[ i ] = histoMoyenneCluster[ i ] / compteur[ i ];
}
meanArea.AxisY.Title = "Moyenne de POIS proches de chaque station du cluster";
meanArea.AxisX.Title = "Cluster";
meanArea.AxisX.TitleFont = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
meanArea.AxisY.TitleFont = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
meanArea.Name = "StatArea";
meanArea.AxisX.MajorGrid.Enabled = false;
Legend legendStat = new Legend();
Series seriesStat = new Series();
chartStat = new System.Windows.Forms.DataVisualization.Charting.Chart();
((System.ComponentModel.ISupportInitialize) (chartStat)).BeginInit();
for ( int i = 0 ; i <histoMoyenneCluster.Length ; i++ ) {
Series tempSer = new Series( "Centroide" + i );
tempSer.Points.AddXY( i, histoMoyenneCluster[ i ] );
tempSer.Color = System.Drawing.Color.FromName(colors[i] );
tempSer.BorderColor = System.Drawing.Color.Black;
tempSer.BorderWidth = 1;
tempSer.Sort( PointSortOrder.Ascending, "X" );
tempSer.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Column;
chartStat.Series.Add( tempSer );
}
seriesStat.Sort( PointSortOrder.Ascending, "X" );
seriesStat.BorderColor = System.Drawing.Color.Black;
seriesStat.BorderWidth = 2;
chartStat.Series.Add( seriesStat );
chartStat.ChartAreas.Add( meanArea );
chartStat.BackColor = System.Drawing.Color.Silver;
meanArea.BackColor = System.Drawing.Color.LightGray;
legendStat.Name = "legend";
legendStat.Docking = Docking.Bottom;
Title titre = new Title( "Caractéristiques du centroïde en terme de POIS " );
chartStat.Legends.Add( legendStat );
titre.Font = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
chartStat.Titles.Add( titre );
chartStat.Size = new System.Drawing.Size( 500, 300 );
((System.ComponentModel.ISupportInitialize) (chartStat)).EndInit();
return chartStat;
}示例5: createChartAllCentroides
public Chart createChartAllCentroides( Dictionary<int,double[]> centroides, String echelle )
{
Chart chartStat;
ChartArea meanArea = new ChartArea();
meanArea.AxisY.Title = "Moyenne disponibilité";
meanArea.AxisX.Title = echelle;
meanArea.AxisX.TitleFont = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
meanArea.AxisY.TitleFont = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
meanArea.Name = "StatArea";
meanArea.AxisX.MajorGrid.Enabled = false;
chartStat = new System.Windows.Forms.DataVisualization.Charting.Chart();
((System.ComponentModel.ISupportInitialize) (chartStat)).BeginInit();
foreach ( int centroide in centroides.Keys ) {
Series tempSer = new Series("Centroide " + centroide );
tempSer.Color = System.Drawing.Color.FromName( colors[ centroide ] );
tempSer.BorderColor = System.Drawing.Color.Black;
tempSer.BorderWidth = 2;
for ( int i = 0 ; i < centroides[centroide].GetLength( 0 ) ; i++ ) {
tempSer.Points.AddXY( i + 1, centroides[ centroide ][ i ] );
}
tempSer.Sort( PointSortOrder.Ascending, "X" );
tempSer.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chartStat.Series.Add( tempSer );
}
chartStat.ChartAreas.Add( meanArea );
chartStat.BackColor = System.Drawing.Color.Silver;
meanArea.BackColor = System.Drawing.Color.LightGray;
Title titre = new Title( "Caractéristiques des centroïdes ");
titre.Font = new System.Drawing.Font( "Helvetica", 10, System.Drawing.FontStyle.Bold );
chartStat.Titles.Add( titre );
chartStat.Size = new System.Drawing.Size( 500, 300 );
((System.ComponentModel.ISupportInitialize) (chartStat)).EndInit();
return chartStat;
}