如果我只有一張照片,它是一些數據的圖,但沒有原始的原始數據。可以幫助建議如何使用此圖生成數據集嗎?
我的目的是生成一個可以表示其配置文件的數據集,然後與其他人連接,然後可以做一個新的繪圖將所有內容組合在一起。
可以使用jmp腳本還是通過它的基本功能工具?多謝。

我認為有很多未知的信息,所以可能沒有任何好的答案。
- 這是平滑曲線嗎?
- 有多少數據點?
- 數據的分辨率是多少?
也許僅使用十字準線工具和新的數據表就足以獲得 10 到 20 分。
如果您認為有 100 個有效點,在繪製的線上,您可以使用一些 JSL 來恢復它們。 閱讀評論;研究結果並確保它們有意義。
//
// this is NOT a general solution; it is tailored for this particular bitmap
//
img = Open( "https://us.v-cdn.net/6038925/uploads/images/33300i4DE1ABDC20B74778/qspringleaf_1-1622996228420.png" );
New Window( "Make sure this is the right image", img ); // view the img
// work with r,g,b arrays of pixel data...
{r, g, b} = img << getpixels( "rgb" );
// https://community.jmp.com/t5/JSL-Cookbook/Using-Loc-with-a-2D-Matrix/ta-p/195207
// explains the 1D vs 2D matrix/loc stuff...
nr = N Rows( b );
nc = N Cols( b );
// using the MS paint eyedropper, the blue-est of the pixels in the blue line have rgb=(56,89,165)
bluelocs = (Loc( r < (60 / 255) & g < (95 / 255) & b > (160 / 255) ) - 1); // bluelocs is a matrix of 1D indexes (0-based)
blueRowlocs = Floor( (bluelocs) / nc ) + 1; // nc is the number of columns in the 2D pixmat
blueCollocs = Mod( (bluelocs), nc ) + 1; // rowlocs and collocs are 2D indexes (1-based)
// the grid lines have rgb=(215,215,215) (the frame is darker, 165,165,165)
gridlocs = (Loc( r == (215 / 255) & g == (215 / 255) & b == (215 / 255) ) - 1);
gridRowlocs = Floor( (gridlocs) / nc ) + 1; // nc is the number of columns in the 2D pixmat
gridCollocs = Mod( (gridlocs), nc ) + 1; // rowlocs and collocs are 2D indexes (1-based)
// locate the top, bottom, left, and right gray grid lines; their values are hard-coded below...
MINRAD = 5;
MAXRAD = 140;
MINTHK = 595;
MAXTHK = 715;
// CAUTION: this works because there is not a lot of other gray pixels of this shade.
// the while-loop removes a couple that get in the way.
// a different source graph will have different problems.
dtGRAY = As Table( gridRowlocs || gridCollocs, <<COLUMNNAMES></COLUMNNAMES>
從藍線恢復數據的圖表
這適用於您上傳的原始圖形,而不適用於您最有可能在討論中看到的降低分辨率的圖形。