/// <summary>
/// Creates a default linear axis with org=0 and end=1.
/// </summary>
public LinearScale()
{
_dataBounds = new FiniteNumericalBoundaries
{
ParentObject = this
};
}
public void MergeXBoundsInto(IPlotArea layer, IPhysicalBoundaries pb, PlotItemCollection coll)
{
if (!(pb is NumericalBoundaries))
{
CoordinateTransformingStyleBase.MergeXBoundsInto(pb, coll);
return;
}
NumericalBoundaries xbounds = (NumericalBoundaries)pb.Clone();
xbounds.Reset();
int nItems = 0;
foreach (IGPlotItem pi in coll)
{
if (pi is IXBoundsHolder)
{
IXBoundsHolder xbpi = (IXBoundsHolder)pi;
xbpi.MergeXBoundsInto(xbounds);
}
if (pi is G2DPlotItem)
{
nItems++;
}
}
if (nItems == 0)
{
_xinc = 0;
}
else
{
_xinc = (xbounds.UpperBound - xbounds.LowerBound) / nItems;
}
int idx = 0;
foreach (IGPlotItem pi in coll)
{
if (pi is IXBoundsHolder)
{
IXBoundsHolder xbpi = (IXBoundsHolder)pi;
xbounds.Reset();
xbpi.MergeXBoundsInto(xbounds);
xbounds.Shift(_xinc * idx);
pb.Add(xbounds);
}
if (pi is G2DPlotItem)
{
idx++;
}
}
}
/// <summary>
/// Creates a default logarithmic axis with org=1 and end=10.
/// </summary>
public Log10Scale()
{
_rescaling = new LogarithmicScaleRescaleConditions()
{
ParentObject = this
};
_dataBounds = new PositiveFiniteNumericalBoundaries()
{
ParentObject = this
};
}
/// <summary>
/// Copy constructor.
/// </summary>
/// <param name="from">The axis to copy from.</param>
public Log10Scale(Log10Scale from)
{
this.IsLinked = from.IsLinked;
this._dataBounds = null == from._dataBounds ? new PositiveFiniteNumericalBoundaries() : (NumericalBoundaries)from._dataBounds.Clone();
_dataBounds.BoundaryChanged += new BoundaryChangedHandler(this.OnBoundariesChanged);
this._decadesPerMajorTick = from._decadesPerMajorTick;
this._log10End = from._log10End;
this._log10Org = from._log10Org;
this._rescaling = null == from.Rescaling ? new LogarithmicAxisRescaleConditions() : (LogarithmicAxisRescaleConditions)from.Rescaling.Clone();
}
/// <summary>
/// This routine ensures that the plot item updates all its cached data and send the appropriate
/// events if something has changed. Called before the layer paint routine paints the axes because
/// it must be ensured that the axes are scaled correctly before the plots are painted.
/// </summary>
/// <param name="layer">The plot layer.</param>
/// <param name="plotData">The plot data which are here used to determine the bounds of the independent data column.</param>
public void PrepareScales(IPlotArea layer, XYZMeshedColumnPlotData plotData)
{
NumericalBoundaries pb = _scale.DataBounds;
plotData.SetVBoundsFromTemplate(pb); // ensure that the right v-boundary type is set
using (var suspendToken = pb.SuspendGetToken())
{
pb.Reset();
plotData.MergeVBoundsInto(pb);
suspendToken.Resume();
}
}
/// <summary>
/// This routine ensures that the plot item updates all its cached data and send the appropriate
/// events if something has changed. Called before the layer paint routine paints the axes because
/// it must be ensured that the axes are scaled correctly before the plots are painted.
/// </summary>
/// <param name="layer">The plot layer.</param>
/// <param name="plotData">The plot data.</param>
public void PrepareScales(IPlotArea layer, XYZMeshedColumnPlotData plotData)
{
if (_colorScale != null)
{
// in case we use our own scale for coloring, we need to calculate the data bounds
NumericalBoundaries pb = _colorScale.DataBounds;
plotData.SetVBoundsFromTemplate(pb); // ensure that the right v-boundary type is set
using (var suspendToken = pb.SuspendGetToken())
{
pb.Reset();
plotData.MergeVBoundsInto(pb);
suspendToken.Resume();
}
}
}
public void SetVBoundsFromTemplate(IPhysicalBoundaries val)
{
if (null == m_vBoundaries || val.GetType() != m_vBoundaries.GetType())
{
if (null != m_vBoundaries)
{
m_vBoundaries.BoundaryChanged -= new BoundaryChangedHandler(this.OnVBoundariesChangedEventHandler);
}
m_vBoundaries = (NumericalBoundaries)val.Clone();
m_vBoundaries.BoundaryChanged += new BoundaryChangedHandler(this.OnVBoundariesChangedEventHandler);
this.m_bCachedDataValid = false;
OnChanged();
}
}
protected override IEnumerable <Main.DocumentNodeAndName> GetDocumentNodeChildrenWithName()
{
if (null != _dataBounds)
{
yield return(new Main.DocumentNodeAndName(_dataBounds, () => _dataBounds = null, "DataBounds"));
}
if (null != _rescaling)
{
yield return(new Main.DocumentNodeAndName(_rescaling, () => _rescaling = null, "Rescaling"));
}
if (null != _tickSpacing)
{
yield return(new Main.DocumentNodeAndName(_tickSpacing, () => _tickSpacing = null, "TickSpacing"));
}
}
/// <summary>
/// Creates a default logarithmic axis with org=1 and end=10.
/// </summary>
public Log10Scale()
{
_dataBounds = new PositiveFiniteNumericalBoundaries()
{
ParentObject = this
};
_rescaling = new LogarithmicScaleRescaleConditions()
{
ParentObject = this
};
_tickSpacing = new Ticks.Log10TickSpacing()
{
ParentObject = this
};
UpdateTicksAndOrgEndUsingRescalingObject();
}
/// <summary>
/// Creates a default cumulative probability scale.
/// </summary>
public CumulativeProbabilityScale()
{
_dataBounds = new CumulativeProbabilityBoundaries()
{
ParentObject = this
};
_rescaling = new CumulativeProbabilityScaleRescaleConditions()
{
ParentObject = this
};
_tickSpacing = new Ticks.CumulativeProbabilityTickSpacing()
{
ParentObject = this
};
UpdateTicksAndOrgEndUsingRescalingObject();
}
/// <summary>
/// Creates a default linear axis with org=0 and end=1.
/// </summary>
public LinearScale()
{
_dataBounds = new FiniteNumericalBoundaries()
{
ParentObject = this
};
_rescaling = new LinearScaleRescaleConditions()
{
ParentObject = this
};
_tickSpacing = new Ticks.LinearTickSpacing()
{
ParentObject = this
};
UpdateTicksAndOrgEndUsingRescalingObject();
}
/// <summary>
/// Creates a default linear axis with org=0 and end=1.
/// </summary>
public InverseScale()
{
_dataBounds = new InverseNumericalBoundaries()
{
ParentObject = this
};
_rescaling = new InverseScaleRescaleConditions()
{
ParentObject = this
};
_tickSpacing = new Ticks.InverseTickSpacing()
{
ParentObject = this
};
UpdateTicksAndOrgEndUsingRescalingObject();
}
/// <summary>
/// Copy constructor.
/// </summary>
/// <param name="from">A other linear axis from which to copy from.</param>
public LinearScale(LinearScale from)
{
this.IsLinked = from.IsLinked;
this._cachedAxisEnd = from._cachedAxisEnd;
this._axisEndByMajor = from._axisEndByMajor;
this._cachedAxisOrg = from._cachedAxisOrg;
this._axisOrgByMajor = from._axisOrgByMajor;
this._cachedAxisSpan = from._cachedAxisSpan;
this._baseEnd = from._baseEnd;
this._baseOrg = from._baseOrg;
this._dataBounds = null == from._dataBounds ? new FiniteNumericalBoundaries() : (NumericalBoundaries)from._dataBounds.Clone();
_dataBounds.BoundaryChanged += new BoundaryChangedHandler(this.OnBoundariesChanged);
this._majorSpan = from._majorSpan;
this._minorTicks = from._minorTicks;
this._cachedOneByAxisSpan = from._cachedOneByAxisSpan;
this._rescaling = null == from.Rescaling ? new NumericAxisRescaleConditions() : (NumericAxisRescaleConditions)from.Rescaling.Clone();
}
/// <summary>
/// Copy constructor.
/// </summary>
/// <param name="from">The axis to copy from.</param>
public Log10Scale(Log10Scale from)
{
IsLinked = from.IsLinked;
_dataBounds = null == from._dataBounds ? new PositiveFiniteNumericalBoundaries()
{
ParentObject = this
} : (NumericalBoundaries)from._dataBounds.Clone();
_dataBounds.ParentObject = this;
_decadesPerMajorTick = from._decadesPerMajorTick;
_log10End = from._log10End;
_log10Org = from._log10Org;
_rescaling = null == from.Rescaling ? new LogarithmicScaleRescaleConditions()
{
ParentObject = this
} : (LogarithmicScaleRescaleConditions)from.Rescaling.Clone();
_rescaling.ParentObject = this;
}
/// <summary>
/// Copy constructor.
/// </summary>
/// <param name="from">A other linear axis from which to copy from.</param>
public LinearScale(LinearScale from)
{
IsLinked = from.IsLinked;
_cachedAxisEnd = from._cachedAxisEnd;
_axisEndByMajor = from._axisEndByMajor;
_cachedAxisOrg = from._cachedAxisOrg;
_axisOrgByMajor = from._axisOrgByMajor;
_cachedAxisSpan = from._cachedAxisSpan;
_baseEnd = from._baseEnd;
_baseOrg = from._baseOrg;
_dataBounds = null == from._dataBounds ? new FiniteNumericalBoundaries() : (NumericalBoundaries)from._dataBounds.Clone();
_dataBounds.ParentObject = this;
_majorSpan = from._majorSpan;
_minorTicks = from._minorTicks;
_cachedOneByAxisSpan = from._cachedOneByAxisSpan;
_rescaling = null == from.Rescaling ? new LinearScaleRescaleConditions() : (LinearScaleRescaleConditions)from.Rescaling.Clone();
_rescaling.ParentObject = this;
}
/// <summary>
/// Paint the density image in the layer.
/// </summary>
/// <param name="gfrx">The graphics context painting in.</param>
/// <param name="gl">The layer painting in.</param>
/// <param name="plotObject">The data to plot.</param>
public void Paint(Graphics gfrx, IPlotArea gl, object plotObject) // plots the curve with the choosen style
{
if (!(plotObject is XYZMeshedColumnPlotData))
{
return; // we cannot plot any other than a TwoDimMeshDataAssociation now
}
XYZMeshedColumnPlotData myPlotAssociation = (XYZMeshedColumnPlotData)plotObject;
Altaxo.Data.INumericColumn xColumn = myPlotAssociation.XColumn as Altaxo.Data.INumericColumn;
Altaxo.Data.INumericColumn yColumn = myPlotAssociation.YColumn as Altaxo.Data.INumericColumn;
if (null == xColumn || null == yColumn)
{
return; // this plotitem is only for x and y double columns
}
//double layerWidth = gl.Size.Width;
//double layerHeight = gl.Size.Height;
int cols = myPlotAssociation.ColumnCount;
int rows = myPlotAssociation.RowCount;
if (cols <= 0 || rows <= 0)
{
return; // we cannot show a picture if one length is zero
}
// there is a need for rebuilding the bitmap only if the data are invalid for some reason
if (!m_bCachedDataValid)
{
System.Diagnostics.Trace.WriteLine("DensityImagePlotStyle.Paint, calculate image data...");
// look if the image has the right dimensions
if (null == m_Image || m_Image.Width != cols || m_Image.Height != rows)
{
if (null != m_Image)
{
m_Image.Dispose();
}
// please notice: the horizontal direction of the image is related to the row index!!! (this will turn the image in relation to the table)
// and the vertical direction of the image is related to the column index
m_Image = new System.Drawing.Bitmap(rows, cols, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
}
// now we can fill the image with our data
NumericalBoundaries pb = m_ScalingStyle == ScalingStyle.Logarithmic ? (NumericalBoundaries) new PositiveFiniteNumericalBoundaries() : (NumericalBoundaries) new FiniteNumericalBoundaries();
myPlotAssociation.SetVBoundsFromTemplate(pb); // ensure that the right v-boundary type is set
myPlotAssociation.MergeVBoundsInto(pb);
double vmin = double.IsNaN(this.m_RangeFrom) ? pb.LowerBound : Math.Max(pb.LowerBound, this.m_RangeFrom);
double vmax = double.IsNaN(this.m_RangeTo) ? pb.UpperBound : Math.Min(pb.UpperBound, this.m_RangeTo);
double lowerBound = vmin;
double upperBound = vmax;
if (this.m_ScalingStyle == ScalingStyle.Logarithmic)
{
// Ensure that min and max >0
vmin = lowerBound = Math.Max(lowerBound, double.Epsilon);
vmax = upperBound = Math.Max(lowerBound, upperBound); // lowerBound is ok, to ensure that upperBound>=lowerBound
vmin = Math.Log(vmin);
vmax = vmax > 0 ? Math.Log(vmax) : vmin;
}
// double vmid = (vmin+vmax)*0.5;
double vscal = vmax <= vmin ? 1 : 255.0 / (vmax - vmin);
int r, g, b;
for (int i = 0; i < cols; i++)
{
Altaxo.Data.INumericColumn col = myPlotAssociation.DataColumns[i] as Altaxo.Data.INumericColumn;
if (null == col)
{
continue;
}
for (int j = 0; j < rows; j++)
{
double val = col[j];
if (double.IsNaN(val))
{
m_Image.SetPixel(j, cols - i - 1, m_ColorInvalid); // invalid pixels are transparent
}
else if (val < lowerBound)
{
m_Image.SetPixel(j, cols - i - 1, m_ColorBelow); // below the lower bound
}
else if (val > upperBound)
{
m_Image.SetPixel(j, cols - i - 1, m_ColorAbove); // above the upper bound
}
else // a valid value
{
double relval;
// calculate a relative value between 0 and 255 from the borders and the scaling style
if (this.m_ScalingStyle == ScalingStyle.Logarithmic)
{
relval = (Math.Log(val) - vmin) * vscal;
}
else // ScalingStyle is linear
{
relval = (val - vmin) * vscal;
}
r = ((int)(Math.Abs(relval))) % 256;
g = ((int)(Math.Abs(relval + relval))) % 256;
b = ((int)(Math.Abs(255 - relval))) % 256;
m_Image.SetPixel(j, cols - i - 1, System.Drawing.Color.FromArgb(r, g, b));
}
} // for all pixel of a column
} // for all columns
m_bCachedDataValid = true; // now the bitmap is valid
}
double x_rel_left = gl.XAxis.PhysicalVariantToNormal(xColumn[0]);
double x_rel_right = gl.XAxis.PhysicalVariantToNormal(xColumn[rows - 1]);
double y_rel_bottom = gl.YAxis.PhysicalVariantToNormal(yColumn[0]);
double y_rel_top = gl.YAxis.PhysicalVariantToNormal(yColumn[cols - 1]);
double xleft, xright, ytop, ybottom;
if (gl.CoordinateSystem.LogicalToLayerCoordinates(new Logical3D(x_rel_left, y_rel_top), out xleft, out ytop) &&
gl.CoordinateSystem.LogicalToLayerCoordinates(new Logical3D(x_rel_right, y_rel_bottom), out xright, out ybottom))
{
GraphicsState savedGraphicsState = gfrx.Save();
if (this.m_ClipToLayer)
{
gfrx.Clip = gl.CoordinateSystem.GetRegion();
}
gfrx.DrawImage(m_Image, (float)xleft, (float)ytop, (float)(xright - xleft), (float)(ybottom - ytop));
gfrx.Restore(savedGraphicsState);
}
}
/// <summary>
/// Creates a default linear axis with org=0 and end=1.
/// </summary>
public LinearScale()
{
_dataBounds = new FiniteNumericalBoundaries();
_dataBounds.BoundaryChanged += new BoundaryChangedHandler(this.OnBoundariesChanged);
}
/// <summary>
/// Creates a default logarithmic axis with org=1 and end=10.
/// </summary>
public Log10Scale()
{
_dataBounds = new PositiveFiniteNumericalBoundaries();
_dataBounds.BoundaryChanged += new BoundaryChangedHandler(this.OnBoundariesChanged);
}
