A bug in the Use cases"Classic Segmentation: Segmentation workflow with original ImageJ functions" in PyImageJ’s documentation

[mol666]

There are 32 cells detected, however the output has 32 group of datas which are completely same. They are just the measurements of the first cell.
This line of code:
for column in results.getHeadings(): stats_ij[column].append(results.getColumn(column)[0])
should be modified to be:
stats_ij[column].append(results.getColumn(column)[-1])
as the index while appending should be corrected.

Hope some notice.

[elevans]

Hi @mol666, thanks for pointing this out! You are correct, we had the wrong output here. I'm pretty close to finishing a PR that will bring some updates to the documentation (either today or tomorrow). I will be sure to include this into #276. For now I'll keep this issue open until I get that merged into main.

[mol666]

That's great! PyimageJ and what you developers do help me a lot. Sincere thanks to you!

[elevans]

This fix as been merged into main: e50446e.