//Extract variable names from scatter plot and set them in content
private void setVariablesInContentFromScatterPlot(ScatterPlotContent scatterContent, ScatterPlot scatterPlot)
{
// only one data row should be in scatter plot
if (scatterPlot.Rows.Count == 1)
{
string[] variables = scatterPlot.Rows.ElementAt(0).Name.Split(new string[] { " - " }, StringSplitOptions.None); // extract variable names from string
scatterContent.SelectedXVariable = variables[0];
scatterContent.SelectedYVariable = variables[1];
}
}
//Open scatter plot in new tab with new content when double clicked
private void ScatterPlotDoubleClick(object sender, EventArgs e)
{
PreprocessingScatterPlotView pspv = (PreprocessingScatterPlotView)sender;
ScatterPlotContent scatterContent = new ScatterPlotContent(Content, new Cloner()); // create new content
ScatterPlot scatterPlot = pspv.Content;
setVariablesInContentFromScatterPlot(scatterContent, scatterPlot);
MainFormManager.MainForm.ShowContent(scatterContent, typeof(ScatterPlotSingleView)); // open in new tab
}
private void UpdateScatterPlot()
{
if (comboBoxXVariable.SelectedItem != null && comboBoxYVariable.SelectedItem != null && comboBoxGroup.SelectedItem != null)
{
var xVariable = (string)comboBoxXVariable.SelectedItem;
var yVariable = (string)comboBoxYVariable.SelectedItem;
var groupVariable = (string)comboBoxGroup.SelectedItem;
var legendOrder = (PreprocessingChartContent.LegendOrder)orderComboBox.SelectedItem;
ScatterPlot scatterPlot = ScatterPlotContent.CreateScatterPlot(Content.PreprocessingData, xVariable, yVariable, groupVariable, legendOrder);
//rows are saved and removed to avoid firing of visual property changed events
var rows = scatterPlot.Rows.ToList();
scatterPlot.Rows.Clear();
var regressionType = (RegressionType)regressionTypeComboBox.SelectedValue;
int order = (int)polynomialRegressionOrderNumericUpDown.Value;
foreach (var row in rows)
{
row.VisualProperties.PointSize = 6;
row.VisualProperties.IsRegressionVisibleInLegend = false;
row.VisualProperties.RegressionType = regressionType;
row.VisualProperties.PolynomialRegressionOrder = order;
row.VisualProperties.IsVisibleInLegend = !useGradientCheckBox.Checked;
}
scatterPlot.Rows.AddRange(rows);
var vp = scatterPlot.VisualProperties;
vp.Title = string.Empty;
vp.XAxisTitle = xVariable;
vp.YAxisTitle = yVariable;
scatterPlotView.Content = scatterPlot;
//save selected x and y variable in content
this.Content.SelectedXVariable = (string)comboBoxXVariable.SelectedItem;
this.Content.SelectedYVariable = (string)comboBoxYVariable.SelectedItem;
this.Content.GroupingVariable = (string)comboBoxGroup.SelectedItem;
}
}
//Extract variable names from scatter plot and set them in content
private void setVariablesInContentFromScatterPlot(ScatterPlotContent scatterContent, ScatterPlot scatterPlot) {
// only one data row should be in scatter plot
if (scatterPlot.Rows.Count == 1) {
string[] variables = scatterPlot.Rows.ElementAt(0).Name.Split(new string[] { " - " }, StringSplitOptions.None); // extract variable names from string
scatterContent.SelectedXVariable = variables[0];
scatterContent.SelectedYVariable = variables[1];
}
}
//Open scatter plot in new tab with new content when double clicked
private void ScatterPlotDoubleClick(object sender, EventArgs e) {
PreprocessingScatterPlotView pspv = (PreprocessingScatterPlotView)sender;
ScatterPlotContent scatterContent = new ScatterPlotContent(Content, new Cloner()); // create new content
ScatterPlot scatterPlot = pspv.Content;
setVariablesInContentFromScatterPlot(scatterContent, scatterPlot);
MainFormManager.MainForm.ShowContent(scatterContent, typeof(ScatterPlotSingleView)); // open in new tab
}
private Control GetBody(string colVariable, string rowVariable)
{
var key = Tuple.Create(colVariable, rowVariable);
if (!bodyCache.ContainsKey(key))
{
if (rowVariable == colVariable) // use historgram if x and y variable are equal
{
var dataTable = HistogramContent.CreateHistogram(
Content.PreprocessingData,
rowVariable,
(string)groupingComboBox.SelectedItem,
(AggregationType)aggregationComboBox.SelectedItem,
(PreprocessingChartContent.LegendOrder)legendOrderComboBox.SelectedItem);
dataTable.VisualProperties.Title = string.Empty;
foreach (var dataRow in dataTable.Rows)
{
dataRow.VisualProperties.IsVisibleInLegend = legendCheckbox.Checked && groupingComboBox.SelectedIndex > 0;
}
var pcv = new DataTableView {
Name = key.ToString(),
Content = dataTable,
Dock = DockStyle.Fill,
ShowChartOnly = true
};
//pcv.ChartDoubleClick += HistogramDoubleClick; // ToDo: not working; double click is already handled by the chart
bodyCache.Add(key, pcv);
}
else //scatter plot
{
var scatterPlot = ScatterPlotContent.CreateScatterPlot(Content.PreprocessingData,
colVariable,
rowVariable,
(string)groupingComboBox.SelectedItem,
(PreprocessingChartContent.LegendOrder)legendOrderComboBox.SelectedItem);
var regressionType = (RegressionType)regressionTypeComboBox.SelectedValue;
int order = (int)polynomialRegressionOrderNumericUpDown.Value;
int i = 0;
var colors = PreprocessingChartView.Colors;
foreach (var row in scatterPlot.Rows)
{
row.VisualProperties.PointSize = (int)pointSizeNumericUpDown.Value;
row.VisualProperties.Color = Color.FromArgb((int)(pointOpacityNumericUpDown.Value * 255),
row.VisualProperties.Color.IsEmpty ? colors[i++ % colors.Length] : row.VisualProperties.Color);
row.VisualProperties.IsVisibleInLegend = legendCheckbox.Checked && groupingComboBox.SelectedIndex > 0;
row.VisualProperties.IsRegressionVisibleInLegend = false;
row.VisualProperties.RegressionType = regressionType;
row.VisualProperties.PolynomialRegressionOrder = order;
}
scatterPlot.VisualProperties.Title = string.Empty;
var scatterPlotView = new ScatterPlotView {
Name = key.ToString(),
Content = scatterPlot,
Dock = DockStyle.Fill,
ShowName = false
//ShowLegend = false,
//XAxisFormat = "G3"
};
//scatterPlotView.DoubleClick += ScatterPlotDoubleClick; // ToDo: not working; double click is already handled by the chart
bodyCache.Add(key, scatterPlotView);
}
}
return(bodyCache[key]);
}
