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Matplotlib created a temporary config/cache directory at /tmp/matplotlib-lsetp6nu because the default path (/users/f/s/fsantann/.config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
Hi all!
First of all, thank you for this amazing tool, it's really refreshing to have such powerful pipeline at hands.
I just want to share this "bug" (quoted because it's entirely related to my sample), that I've encountered yesterday. I was running the pipeline with three samples, and I got this error message:
Caused by:
Process `NFCORE_MAG:MAG:DEPTHS:MAG_DEPTHS_PLOT (MEGAHIT-MaxBin2-MAS)` terminated with an error exit status (1)
Command executed:
plot_mag_depths.py --bin_depths MEGAHIT-MaxBin2-MAS-binDepths.tsv --groups sample_groups.tsv --out "MEGAHIT-MaxBin2-MAS-binDepths.heatmap.png"
cat <<-END_VERSIONS > versions.yml
"NFCORE_MAG:MAG:DEPTHS:MAG_DEPTHS_PLOT":
python: $(python --version 2>&1 | sed 's/Python //g')
pandas: $(python -c "import pkg_resources; print(pkg_resources.get_distribution('pandas').version)")
seaborn: $(python -c "import pkg_resources; print(pkg_resources.get_distribution('seaborn').version)")
END_VERSIONS
Command exit status:
1
Command output:
(empty)
Command error:
Matplotlib created a temporary config/cache directory at /tmp/matplotlib-lsetp6nu because the default path (/users/f/s/fsantann/.config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
Traceback (most recent call last):
File "/users/f/s/fsantann/.nextflow/assets/nf-core/mag/bin/plot_mag_depths.py", line 83, in <module>
sys.exit(main())
File "/users/f/s/fsantann/.nextflow/assets/nf-core/mag/bin/plot_mag_depths.py", line 70, in main
sns.clustermap(
File "/usr/local/lib/python3.9/site-packages/seaborn/_decorators.py", line 46, in inner_f
return f(**kwargs)
File "/usr/local/lib/python3.9/site-packages/seaborn/matrix.py", line 1402, in clustermap
return plotter.plot(metric=metric, method=method,
File "/usr/local/lib/python3.9/site-packages/seaborn/matrix.py", line 1220, in plot
self.plot_dendrograms(row_cluster, col_cluster, metric, method,
File "/usr/local/lib/python3.9/site-packages/seaborn/matrix.py", line 1065, in plot_dendrograms
self.dendrogram_row = dendrogram(
File "/usr/local/lib/python3.9/site-packages/seaborn/_decorators.py", line 46, in inner_f
return f(**kwargs)
File "/usr/local/lib/python3.9/site-packages/seaborn/matrix.py", line 784, in dendrogram
plotter = _DendrogramPlotter(data, linkage=linkage, axis=axis,
File "/usr/local/lib/python3.9/site-packages/seaborn/matrix.py", line 594, in __init__
self.linkage = self.calculated_linkage
File "/usr/local/lib/python3.9/site-packages/seaborn/matrix.py", line 661, in calculated_linkage
return self._calculate_linkage_scipy()
File "/usr/local/lib/python3.9/site-packages/seaborn/matrix.py", line 629, in _calculate_linkage_scipy
linkage = hierarchy.linkage(self.array, method=self.method,
File "/usr/local/lib/python3.9/site-packages/scipy/cluster/hierarchy.py", line 1068, in linkage
n = int(distance.num_obs_y(y))
File "/usr/local/lib/python3.9/site-packages/scipy/spatial/distance.py", line 2572, in num_obs_y
raise ValueError("The number of observations cannot be determined on "
ValueError: The number of observations cannot be determined on an empty distance matrix.
Work dir:
/gpfs1/home/f/s/fsantann/work/64/858b740fe77cd5e95503ae127a3a77
Upon closer look, I checked the QC on these samples and found out that only one of them had actual bins (bin_summary.tsv). I re-ran the pipeline with the binned sample and it worked fine. I am unsure whether or not the missing bins might've affected the pipeline. I attached the nextflow.log for closer inspection.
Matplotlib created a temporary config/cache directory at /tmp/matplotlib-lsetp6nu because the default path (/users/f/s/fsantann/.config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
Hi all!
First of all, thank you for this amazing tool, it's really refreshing to have such powerful pipeline at hands.
I just want to share this "bug" (quoted because it's entirely related to my sample), that I've encountered yesterday. I was running the pipeline with three samples, and I got this error message:
Upon closer look, I checked the QC on these samples and found out that only one of them had actual bins (bin_summary.tsv). I re-ran the pipeline with the binned sample and it worked fine. I am unsure whether or not the missing bins might've affected the pipeline. I attached the nextflow.log for closer inspection.
Thanks!
Best,
Felipe
Command used and terminal output
No response
Relevant files
06_24_nextflow.log
System information
Nextflow version: 24.04.2
HPC
slurm
Singularity
Linux
nf-core/am version 3.0.1
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