private void SetupHistogramChart(C1Chart chartRaw, C1Chart chartHisto)
{
chartHisto.Reset();
chartHisto.Left = 0;
Form1_Resize(null, null);
// Setup the Histogram chart appearance
chartHisto.Style.BackColor = Color.AliceBlue;
chartHisto.Style.Border.BorderStyle = BorderStyleEnum.Solid;
chartHisto.Style.Border.Thickness = 2;
chartHisto.Style.Border.Color = Color.Black;
chartHisto.Legend.Visible = true;
// Create a histogram type chart using a bar chart type rather an actual
// histogram type. Histograms reflect single series of data well, but do
// not show multiple series as well as a bar chart.
//
// Use the chart static method to generate histogram data from the raw data.
ChartGroup cgHisto = chartHisto.ChartGroups[0];
ChartDataSeriesCollection cdscHisto = cgHisto.ChartData.SeriesList;
cgHisto.ChartType = Chart2DTypeEnum.Bar;
// obtain the data from chartRaw.
ChartData cdRaw = chartRaw.ChartGroups[0].ChartData;
ChartDataSeriesCollection cdscRaw = cdRaw.SeriesList;
double dataMax = 0, dataMin = 0;
// determine the extremes from the series means
foreach (ChartDataSeries cdsRaw0 in cdscRaw)
{
double mean = cdsRaw0.Y.Statistics.Mean;
double mn = cdsRaw0.MinY - mean;
double mx = cdsRaw0.MaxY - mean;
if (dataMax < mx)
{
dataMax = mx;
}
if (dataMin > mn)
{
dataMin = mn;
}
}
dataMax = Math.Ceiling(dataMax);
dataMin = Math.Floor(dataMin);
// Assume that the interval width is one degree.
int intervalCount = (int)(dataMax - dataMin) + 1;
foreach (ChartDataSeries cdsRaw in cdscRaw)
{
double [] rawData = (double[])cdsRaw.Y.CopyDataOut(typeof(double));
// determine the difference of each point from the mean.
double mean = cdsRaw.Y.Statistics.Mean;
double [] differencesFromMean = (double[])rawData.Clone();
for (int d = 0; d < differencesFromMean.Length; d++)
{
differencesFromMean[d] -= mean;
}
double [] xbounds = null;
double [] ycounts = null;
double [] bis = null;
// generate histogram data of the difference from the means. Start
// using a half-width less than the dataMin. This will provide
// intervals that center on each integral temperature difference.
C1Chart.GenerateHistogramData(differencesFromMean, dataMin - 0.5, 1.0,
intervalCount, -1.0, ref xbounds, ref ycounts, ref bis);
// add a series of histogramdata
ChartDataSeries cdsHisto = cdscHisto.AddNewSeries();
cdsHisto.Label = cdsRaw.Label;
cdsHisto.LineStyle.Color = Color.FromArgb(128, cdsRaw.LineStyle.Color);
bis = (double[])Array.CreateInstance(typeof(double), intervalCount);
for (int p = 0; p < intervalCount; p++)
{
bis[p] = (xbounds[p] + xbounds[p + 1]) / 2;
}
cdsHisto.X.CopyDataIn(bis);
cdsHisto.Y.CopyDataIn(ycounts);
}
// Add description and instructions to the header, footer and axes.
chartHisto.Header.Text = "Bar Chart Histogram of Differences from Seasonal Mean Kansas City Temperatures";
chartHisto.Header.Style.Font = chartRaw.Header.Style.Font;
chartHisto.Footer.Text = "Double-Click to Toggle Bar Stacking";
chartHisto.ChartArea.AxisX.Text = "Difference From Mean Seasonal Mean Temperature (F)";
chartHisto.ChartArea.AxisY.Text = "Count of Seasonal Mean Temperatures";
}
/// <summary>
/// 设置chart的基本信息
/// </summary>
public void SetXyChart()
{
c1Chart1.ChartGroups[0].ChartData.SeriesList.Clear();
Point pLoc = new Point();
pLoc.X = -1;
pLoc.Y = -1;
c1Chart1.Reset();
c1Chart1.ChartArea.ResetSizeDefault();
c1Chart1.ChartArea.ResetStyle();
// c1Chart1.Style.sho
c1Chart1.ChartArea.AxisX.GridMajor.Visible = true;
c1Chart1.ChartArea.AxisY.GridMajor.Visible = true;
c1Chart1.ToolTip.Enabled = true;
c1Chart1.BackColor = Color.White;
c1Chart1.Legend.Compass = CompassEnum.East;
c1Chart1.Legend.Location = pLoc;
c1Chart1.Legend.Visible = true;
c1Chart1.ToolTip.Enabled = true;
c1Chart1.ToolTip.PlotElement = PlotElementEnum.Series;
c1Chart1.ToolTip.SelectAction = SelectActionEnum.MouseOver;
c1Chart1.ChartGroups[0].ChartData.SeriesList.Clear();
c1Chart1.ChartGroups[0].ChartType = C1.Win.C1Chart.Chart2DTypeEnum.XYPlot;
c1Chart1.ChartArea.AxisX.ScrollBar.Visible = false;
//设置图片的显示方式
C1Chart chart = c1Chart1;
Area area = chart.ChartArea;
Axis ax = area.AxisX;
ax.AnnotationRotation = -30;
C1.Win.C1Chart.ValueLabel vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
//C1FlexGrid c1Flex = (C1FlexGrid)_tab.TabPages[_tab.SelectedIndex].Controls[0];
var lines = CurrentSection.lines;
string sDate = "";
string eDate = "";
foreach (var line in lines)
{
if (line.dataTable != null && line.dataTable.Rows.Count > 0)
{
var tsDate = line.dataTable.Rows[0][0].ToString();
var teDate = line.dataTable.Rows[line.dataTable.Rows.Count - 1][0].ToString();
var ti = line.dataTable.Rows.Count - 1;
while (string.IsNullOrEmpty(teDate))
{
ti--;
teDate = line.dataTable.Rows[ti][0].ToString();
}
if (sDate == "" || eDate == "")
{
sDate = tsDate;
eDate = teDate;
}
else
{
if (DateTime.Parse(sDate) > DateTime.Parse(tsDate))
{
sDate = tsDate;
}
if (DateTime.Parse(teDate) > DateTime.Parse(eDate))
{
sDate = tsDate;
}
}
}
}
string strPreDate = "";
string fmt = "yyyy.MM.dd";
if (sDate == "" || eDate == "")
{
return;
}
string strStartDate = sDate;
string strEndDate = eDate;
//第一天和最后一天都应该标注
vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
vlbl.NumericValue = 0;
vlbl.Text = DateTime.Parse(strStartDate).ToString(fmt);
int iDays = Convert.ToDateTime(DateTime.Parse(strEndDate).ToString("yyyy-MM-dd")).Subtract(Convert.ToDateTime(DateTime.Parse(strStartDate).ToString("yyyy-MM-dd"))).Days;
if (iDays < 32) //一个月以内，每天都标注
{
for (int i = 1; i < iDays; i++)
{
vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
vlbl.NumericValue = i * 1; //修改前为50
vlbl.Text = Convert.ToDateTime(DateTime.Parse(strStartDate).ToString("yyyy-MM-dd")).AddDays(i).ToString(fmt);
}
}
else if (iDays < 93) ////三个月以内，10天标注一次
{
for (int i = 10; i < iDays; i += 10)
{
vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
vlbl.NumericValue = i * 1; //修改前为50
vlbl.Text = Convert.ToDateTime(DateTime.Parse(strStartDate).ToString("yyyy-MM-dd")).AddDays(i).ToString(fmt);
}
}
else if (iDays < 186) ////六个月以内，15天标注一次
{
for (int i = 15; i < iDays; i += 15)
{
vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
vlbl.NumericValue = i * 1; //修改前为50
vlbl.Text = Convert.ToDateTime(DateTime.Parse(strStartDate).ToString("yyyy-MM-dd")).AddDays(i).ToString(fmt);
}
}
else if (iDays < 731) ////两年以内，一个月标注一次
{
for (int i = 30; i < iDays; i += 30)
{
vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
vlbl.NumericValue = i * 1; //修改前为50
vlbl.Text = Convert.ToDateTime(DateTime.Parse(strStartDate).ToString("yyyy-MM-dd")).AddDays(i).ToString(fmt);
}
}
else //两年以上，2个月标注一次
{
for (int i = 60; i < iDays; i += 60)
{
vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
vlbl.NumericValue = i * 1; //修改前为50
vlbl.Text = Convert.ToDateTime(DateTime.Parse(strStartDate).ToString("yyyy-MM-dd")).AddDays(i).ToString(fmt);
}
}
////第一天和最后一天都应该标注
//vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
//vlbl.NumericValue = iDays * 1; //修改前为50
//vlbl.Text = Convert.ToDateTime(DateTime.Parse(strStartDate).ToString("yyyy-MM-dd")).AddDays(iDays).ToString(fmt);
////首先得到开始时间这个月还剩多少天
//int iFirstLeft = DateTime.DaysInMonth(Convert.ToDateTime(strStartDate.Substring(0, 10)).Year, Convert.ToDateTime(strStartDate.Substring(0, 10)).Month) - Convert.ToDateTime(strStartDate.Substring(0, 10)).Day;
////下个月第一天
//string strFirstDay = Convert.ToDateTime(strStartDate.Substring(0, 10)).AddMonths(1).ToString(fmt).Substring(0, 7) + ".01";
////判定有没有到最后一个月
//int iMonthCount = DateTime.Compare(Convert.ToDateTime(strFirstDay), Convert.ToDateTime(strEndDate.Substring(0, 10)));
//vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
//vlbl.NumericValue = iFirstLeft * 50;
//vlbl.Text = strFirstDay;
//while (iMonthCount < 0)
//{
// strPreDate = strFirstDay;
// strFirstDay = Convert.ToDateTime(strPreDate.Substring(0, 10)).AddMonths(1).ToString(fmt).Substring(0, 7) + ".01";
// iFirstLeft = Convert.ToDateTime(strFirstDay).Subtract(Convert.ToDateTime(strStartDate.Substring(0, 10))).Days;
// vlbl = chart.ChartArea.AxisX.ValueLabels.AddNewLabel();
// vlbl.NumericValue = iFirstLeft * 50;
// vlbl.Text = strFirstDay;
// iMonthCount = DateTime.Compare(Convert.ToDateTime(strFirstDay), Convert.ToDateTime(strEndDate.Substring(0, 10)));
//}
chart.ChartArea.AxisX.AnnoMethod = C1.Win.C1Chart.AnnotationMethodEnum.ValueLabels;
}
private void SetupRawTempChart(C1Chart chart)
{
// show the average mean temperature data and resize
// the chart with the form.
chart.Reset();
chart.Width = this.ClientSize.Width - chart.Left;
chart.Height = this.ClientSize.Height / 2;
// setup the chart appearance
chart.Style.BackColor = Color.White;
chart.Style.Border.BorderStyle = BorderStyleEnum.Inset;
chart.Style.Border.Thickness = 2;
chart.Style.Border.Color = Color.Black;
// setup the axis limits and titles
Axis ax = chart.ChartArea.AxisX;
ax.Min = 1880;
ax.Max = 2020;
ax = chart.ChartArea.AxisY;
ax.Text = "Temperature F";
ax.Min = 0;
ax.Max = 100;
ax = chart.ChartArea.AxisY2;
ax.Text = "Temperature C";
ax.Min = (0.0 - 32.0) * 5.0 / 9.0;
ax.Max = (100.0 - 32.0) * 5.0 / 9.0;
// Legend and header
chart.Legend.Visible = true;
chart.Header.Text = "Yearly Average Kansas City Mean Temperatures by Season";
chart.Header.Style.Font = new Font("Arial Narrow", 12, FontStyle.Bold);
// get and add the data
double [] years = KansasCityTempData(SeasonEnum.Years);
ChartDataSeriesCollection cdsc = chart.ChartGroups[0].ChartData.SeriesList;
// use a thicker line for the plots so the lines are very visible.
const int lineThickness = 2;
// Winter
ChartDataSeries cds = cdsc.AddNewSeries();
cds.X.CopyDataIn(years);
cds.Y.CopyDataIn(KansasCityTempData(SeasonEnum.Winter));
cds.SymbolStyle.Shape = SymbolShapeEnum.None;
cds.Label = "Winter";
cds.LineStyle.Color = Color.Blue;
cds.LineStyle.Thickness = lineThickness;
// Spring
cds = cdsc.AddNewSeries();
cds.X.CopyDataIn(years);
cds.Y.CopyDataIn(KansasCityTempData(SeasonEnum.Spring));
cds.SymbolStyle.Shape = SymbolShapeEnum.None;
cds.Label = "Spring";
cds.LineStyle.Color = Color.Green;
cds.LineStyle.Thickness = lineThickness;
// Summer
cds = cdsc.AddNewSeries();
cds.X.CopyDataIn(years);
cds.Y.CopyDataIn(KansasCityTempData(SeasonEnum.Summer));
cds.SymbolStyle.Shape = SymbolShapeEnum.None;
cds.Label = "Summer";
cds.LineStyle.Color = Color.Red;
cds.LineStyle.Thickness = lineThickness;
// Fall
cds = cdsc.AddNewSeries();
cds.X.CopyDataIn(years);
cds.Y.CopyDataIn(KansasCityTempData(SeasonEnum.Fall));
cds.SymbolStyle.Shape = SymbolShapeEnum.None;
cds.Label = "Fall";
cds.LineStyle.Color = Color.Brown;
cds.LineStyle.Thickness = lineThickness;
// add a series to Group1 so the Y2 axis is shown. At the same time
// hide the series in the legend, since it is a dummy series.
chart.ChartGroups[1].ChartData.SeriesList.AddNewSeries().LegendEntry = false;
}
