First of all thank you very much for such a nice tool!
I'm following the commands in this real example, but I didn't obtain figures, only csv files. At the end of the command in this webpage its written: "These commands may produce some warnings. Pease check if figures are generated, and if so then it's safe to ignore the warnings."
Hi!
First of all thank you very much for such a nice tool!
I'm following the commands in this real example, but I didn't obtain figures, only csv files. At the end of the command in this webpage its written: "These commands may produce some warnings. Pease check if figures are generated, and if so then it's safe to ignore the warnings."
What should I do if I don't have this figures?
https://github.com/comorment/containers/blob/main/usecases/mixer_real.md
singularity shell --home $PWD:/home $SIF/python3.sif
python /tools/mixer/precimed/mixer_figures.py combine --json ADHD.fit.rep@.json --out ADHD.fit python /tools/mixer/precimed/mixer_figures.py combine --json ADHD.test.rep@.json --out ADHD.test python /tools/mixer/precimed/mixer_figures.py combine --json PLS.fit.rep@.json --out PLS.fit python /tools/mixer/precimed/mixer_figures.py combine --json PLS.test.rep@.json --out PLS.test python /tools/mixer/precimed/mixer_figures.py combine --json ADHD_vs_PLS.fit.rep@.json --out ADHD_vs_PLS.fit python /tools/mixer/precimed/mixer_figures.py combine --json ADHD_vs_PLS.test.rep@.json --out ADHD_vs_PLS.test
python /tools/mixer/precimed/mixer_figures.py one --json ADHD.fit.json PLS.fit.json --out ADHD_and_PLS.fit --trait1 ADHD PLS --statistic mean std --ext svg python /tools/mixer/precimed/mixer_figures.py one --json ADHD.test.json PLS.test.json --out ADHD_and_PLS.test --trait1 ADHD PLS --statistic mean std --ext svg
python /tools/mixer/precimed/mixer_figures.py two --json-fit ADHD_vs_PLS.fit.json --json-test ADHD_vs_PLS.test.json --out ADHD_vs_PLS --trait1 ADHD --trait2 PLS --statistic mean std --ext svg
This is the output for the last command:
Done. MoTTY X11 proxy: Unsupported authorisation protocol MoTTY X11 proxy: Unsupported authorisation protocol Traceback (most recent call last): File "/tools/mixer/precimed/mixer_figures.py", line 15, in
args.func(args)
File "/tools/mixer/precimed/mixer/figures.py", line 478, in execute_two_parser
plt.figure(figsize=[12, 3.5])
File "/usr/local/lib/python3.8/site-packages/matplotlib/pyplot.py", line 687, in figure
figManager = new_figure_manager(num, figsize=figsize,
File "/usr/local/lib/python3.8/site-packages/matplotlib/pyplot.py", line 315, in new_figure_manager
return _backend_mod.new_figure_manager(*args, **kwargs)
File "/usr/local/lib/python3.8/site-packages/matplotlib/backend_bases.py", line 3494, in new_figure_manager
return cls.new_figure_manager_given_figure(num, fig)
File "/usr/local/lib/python3.8/site-packages/matplotlib/backends/_backend_tk.py", line 885, in new_figure_manager_given_figure
window = tk.Tk(className="matplotlib")
File "/usr/local/lib/python3.8/tkinter/init.py", line 2270, in init
self.tk = _tkinter.create(screenName, baseName, className, interactive, wantobjects, useTk, sync, use)
_tkinter.TclError: couldn't connect to display "localhost:11.0"
Thank you very much.
Best,
Judit