需要Spotfire.DXP中控制「線條和曲線」的對象或屬性

Question

我正在通過Spotfire中的IronPython腳本控制ScatterPlot。

我找不到必要的屬性或對象來創建或控制使用散點圖中的「Lines & Curves」選項創建的「Line from Column」。 （見附圖）：

我的腳本已附加，除了最後一行我需要幫助外，它都運行得很好。

from Spotfire.Dxp.Application.Visuals import VisualContent 
from Spotfire.Dxp.Application.Visuals import ScatterPlot 

if yAxisNormalization == "Norm0" and yAxisAllorAverage == "Individual": 
    #======= Norm0, Individual 
    sTitle = "Individual Values Normalized To Baseline" 
    sYAxisFormula = "Avg([val_t0_offset]) Over (Intersect([Week],[Subj_ID]))" 
    sErrorBars = "StdDev([val_t0_offset]) over (Intersect([Subj_ID],[Week]))" 

elif yAxisNormalization == "Norm0" and yAxisAllorAverage == "Average": 
    #======= Norm0, Average 
    sTitle = "Treatment Averaged Values Normalized To Baseline" 
    sYAxisFormula = "Avg([val_t0_offset]) Over (Intersect([Week],[Treatment]))" 
    sErrorBars = "StdDev([val_t0_offset]) over (Intersect([Treatment],[Week]))" 

elif yAxisNormalization == "NotNorm" and yAxisAllorAverage == "Individual": 
    #======= No Normalizaiton, Individual, just raw 
    sTitle = "Individual Measured Values" 
    sYAxisFormula = "Avg([Val]) Over (Intersect([Week],[Subj_ID]))" 
    sErrorBars = "StdDev([Val]) over (Intersect([Subj_ID],[Week]))" 

elif yAxisNormalization == "NotNorm" and yAxisAllorAverage == "Average": 
    #======= No Normalizaiton, Averaged data 
    sTitle = "Treatment Averaged Values" 
    sYAxisFormula = "Avg([Val]) Over (Intersect([Week],[Treatment]))" 
    sErrorBars = "StdDev([Val]) over (Intersect([Treatment],[Week]))" 

# ======================= setup line connection based on aggrigation ========================== 
if yAxisAllorAverage == "Individual": 
    sLineConnection= "<[Subj_ID]>" 
elif yAxisAllorAverage == "Average": 
    sLineConnection= "<[Treatment]>" 

if yAxisNormalization == "NotNorm": 
    sOutlierValue = "<[val_t0_offset]>" 
elif yAxisNormalization == "Norm0": 
    sOutlierValue= "<[Val]>" 

#set the title 
visual.Title = sTitle 

#set the Y formula 
scatterPlot = visual.As[ScatterPlot]() 
scatterPlot.YAxis.Expression = sYAxisFormula 

#ERROR BARS 
scatterPlot.YAxis.ErrorBars.UpperExpression = sErrorBars 
scatterPlot.YAxis.ErrorBars.LowerExpression = sErrorBars 
scatterPlot.YAxis.ErrorBars.Enabled = True 

# ------ redifine line connection ------------------ 
scatterPlot.LineConnection.ConnectionAxis.Expression = sLineConnection 

# ---- change grey outlier bars --------------------- 
######### NEED HELP HERE! ############################## 
# how do I set the Yvalue for a Line created in Lines and Curves? ### 
scatterplot.(linesAndCUrves??).(line[0]?).YvaluesColumn = sOutlierValue <<<this is the line where I need help. 
############################################################# 
############################################################# 

Answer 1

我沒有親自使用，但我想你想的FittingModelCollection object，具體的方法AddColumnValuesLine。

Answer 2

從@ Niko的鏈接，完整的代碼從列得到兩條水平線是：

sMinCol = "Test_t0_min" 
    sMaxCol = "test_T0_max" 

# --- OUTLIER DEMARKATION LINES: -- 
oDataTable = Document.Data.Tables['all_results'] 
oXCol = oDataTable.Columns['Week'] 
scatterPlot.FittingModels.Clear() 

#lower 
oYCol = oDataTable.Columns[sMinCol] 
oColumnValuesLine = scatterPlot.FittingModels.AddColumnValuesLine(oDataTable, oXCol, oYCol) 
oColumnValuesLine.AffectAxisRanges = True 
oColumnValuesLine.Line.Width = 3 
#upper 
oYCol = oDataTable.Columns[sMaxCol] 
scatterPlot.FittingModels.AddColumnValuesLine(oDataTable, oXCol, oYCol) 
oColumnValuesLine.AffectAxisRanges = True 
oColumnValuesLine.Line.Width = 3