透明绘制数千条线的最简单方法

如何解决透明绘制数千条线的最简单方法

我正在寻找最简单的方法来绘制多条线(〜20000条),既可以使用透明性支持,也可以使用子像素宽度或两者兼有,以使它们彼此叠置时不只是创建全黑图像。

我尝试过matplotlib,但是由于每一行都是它自己的轴,所以它很慢,尽管到目前为止看起来最好:

Option Explicit

Sub testRemoveDuplicateRows()
    
    Const wsName As String = "Sheet1"
    Const LastRowColumnID As Variant = "A" ' e.g. 1 or "A"
    Const FirstRow As Long = 2
    Dim ColumnIDs As Variant: ColumnIDs = Array(1,"M")
    Dim wb As Workbook: Set wb = ThisWorkbook
    
    Dim ws As Worksheet: Set ws = wb.Worksheets(wsName)
    
    ' Hide duplicate rows.
    Call removeDuplicateRows(ws,ColumnIDs,LastRowColumnID,FirstRow,True)

    ' Delete duplicate rows.
    'Call removeDuplicateRows(ws,FirstRow)

End Sub

Sub removeDuplicateRows(Sheet As Worksheet,_
                        ColumnIDs As Variant,_
                        Optional LastRowColumnID As Variant = 1,_
                        Optional FirstRow As Long = 1,_
                        Optional hideOnly As Boolean = False)

    ' Write values of columns to jagged array.
    Dim Cols As Variant
    Call getColumns(Cols,Sheet,FirstRow)
    
    ' Join values of arrays in jagged array.
    Dim Data As Variant: Call joinColumns(Data,Cols)
    
    ' Write duplicate row numbers to array.
    Dim RowOffset As Long: RowOffset = FirstRow - 1 ' 1 = ubound(Data)
    Dim DupeRows As Variant
    Call collectDuplicateRows(DupeRows,Data,RowOffset)
    
    ' Hide or delete duplicate rows.
    If hideOnly Then
        Call hideRows(Sheet,DupeRows)
    Else
        Call deleteRows(Sheet,DupeRows)
    End If
      
End Sub

Sub getColumns(ByRef Data As Variant,_
               Sheet As Worksheet,_
               ColumnIDs As Variant,_
               Optional LastRowColumnID As Variant = 1,_
               Optional FirstRow As Long = 1)
    
    Dim ubc As Long: ubc = UBound(ColumnIDs)
    If ubc = -1 Then Exit Sub
    
    Dim rng As Range: Call getColumnRange(rng,FirstRow)
    If rng Is Nothing Then Exit Sub
    
    ReDim Data(ubc): Call getColumnFromColumnRange(Data(0),rng)
    
    If ubc > 0 Then GoSub getRemainingColumns
     
    Exit Sub

getRemainingColumns:
    Dim j As Long
    For j = 1 To ubc
        Call getColumnFromColumnRange(Data(j),_
          rng.Offset(,Sheet.Columns(ColumnIDs(j)).Column - rng.Column))
    Next j
    Return

End Sub

Sub getColumnRange(ByRef ColumnRange As Range,_
                   Sheet As Worksheet,_
                   Optional ColumnID As Variant = 1,_
                   Optional FirstRow As Long = 1)
    
    Set ColumnRange = Nothing
    
    Dim rng As Range
    Set rng = Sheet.Columns(ColumnID).Find("*",xlValues,xlPrevious)
    
    If rng Is Nothing Then Exit Sub
    If rng.Row < FirstRow Then Exit Sub
    
    Set ColumnRange = Sheet.Range(Sheet.Cells(FirstRow,ColumnID),rng)

End Sub
                    
Sub getColumnFromColumnRange(ByRef Data As Variant,_
                             ColumnRange As Range)
    If ColumnRange Is Nothing Then Exit Sub
    If ColumnRange.Cells.Count > 1 Then
        Data = ColumnRange.Value
    Else
        ReDim Data(1 To 1,1 To 1): Data(1,1) = ColumnRange.Value
    End If
End Sub
                             
Sub joinColumns(ByRef Data As Variant,_
                ColumnsArray As Variant,_
                Optional Delimiter As String = "|||")
    
    Data = ColumnsArray(0)
    If UBound(ColumnsArray) = 0 Then Exit Sub
    
    Dim ubr As Long: ubr = UBound(Data)
    Dim j As Long,i As Long
    For j = 1 To UBound(ColumnsArray)
        For i = 1 To ubr
            Data(i,1) = Data(i,1) & Delimiter & ColumnsArray(j)(i,1)
        Next i
    Next j
    
End Sub
                
Sub collectDuplicateRows(ByRef DupeRows As Variant,_
                         Data As Variant,_
                         Optional RowOffset As Long = 0,_
                         Optional DupeRowsFirstIndex As Long = 0)
    
    Dim ub As Long: ub = UBound(Data)
    If ub < 2 Then Exit Sub
    
    Dim i As Long,k As Long,m As Long: m = DupeRowsFirstIndex - 1
    ReDim DupeRows(DupeRowsFirstIndex To ub + DupeRowsFirstIndex - 2)
    
    For i = 1 To ub - 1
        For k = i + 1 To ub
            If Data(k,1) Then
                m = m + 1
                DupeRows(m) = k + RowOffset
                Exit For
            End If
        Next k
    Next i
    
    If m > DupeRowsFirstIndex - 1 Then
        ReDim Preserve DupeRows(DupeRowsFirstIndex To m)
    Else
        DupeRows = Empty
    End If
    
End Sub

Sub deleteRows(Sheet As Worksheet,_
               RowNumbers As Variant)
    
    Dim rng As Range: Set rng = Sheet.Rows(RowNumbers(LBound(RowNumbers)))
    If UBound(RowNumbers) > LBound(RowNumbers) Then GoSub collectRemainingRows
    
    If Not rng Is Nothing Then rng.EntireRow.Delete
    
    Exit Sub
    
collectRemainingRows:
    Dim j As Long
    For j = LBound(RowNumbers) + 1 To UBound(RowNumbers)
        Set rng = Union(rng,Sheet.Rows(RowNumbers(j)))
    Next j
    Return
    
End Sub

Sub hideRows(Sheet As Worksheet,_
             RowNumbers As Variant)
    
    Dim rng As Range: Set rng = Sheet.Rows(RowNumbers(LBound(RowNumbers)))
    If UBound(RowNumbers) > LBound(RowNumbers) Then GoSub collectRemainingRows
    
    If Not rng Is Nothing Then rng.EntireRow.Hidden = True
    
    Exit Sub
    
collectRemainingRows:
    Dim j As Long
    For j = LBound(RowNumbers) + 1 To UBound(RowNumbers)
        Set rng = Union(rng,Sheet.Rows(RowNumbers(j)))
    Next j
    Return
    
End Sub

有更快的方法吗?

我还尝试了使用PIL进行绘制,但是它不支持子像素线宽,并且alpha透明度只能应用于整个图像,而不能应用于单个元素:

import matplotlib.pyplot as plt

# test data in format my real data will use

test_data_as_lines = [((random()*2000,random()*2000),(random()*2000,random()*2000))
                        for x in range(0,20000)]

#format for matplotlib and plot

fig= plt.figure(figsize=(10,10))
axes= fig.add_axes([0.05,0.05,0.9,0.9])

for i in test_data_as_lines:

    x = (i[0][0],i[1][0])
    y = (i[0][1],i[1][1])

    axes.plot(x,y,'black',linewidth=0.1,alpha=0.5)

plt.show()

这只是画一个黑色正方形。

最后,我尝试了John Zelle编写的简单graphics.py示例库,但这也不支持透明度或子像素宽度,甚至更慢。它基于tkinter,我认为它具有相同的局限性,所以我对此并不在意。

我试图避免pygame。那是我最好的选择吗?

谢谢

解决方法

摆脱for循环将使您的代码更简单,更快捷。由于方法plot可以一次处理多行,因此可以使用

axes.plot(*test_data_as_lines,alpha=0.5,color="black",linewidth=0.1)

在我的笔记本电脑上,有5000行,使用for循环执行代码大约需要93秒,而上面的命令大约需要10秒

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