Closed alex-wenzel closed 4 years ago
@alex-wenzel I am running it locally and when I run it on the 3.6 kernel I get an error on the PCA step. Using the 3.7 kernel runs just fine. I'm not sure how to proceed.
Here is the error I get on the Python 3.6
kernel
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-9-5abef441b83b> in <module>
----> 1 analysis.preprocess_counts(min_n_cells=3, min_n_genes=200, max_n_genes=1700, min_n_counts=0, max_n_counts=5700, min_percent_mito=0, max_percent_mito=6, normalization_method="LogNormalize", do_regression=True)
/Notebooks/single_cell_clustering_notebook/singlecell.py in preprocess_counts(self, min_n_cells, min_n_genes, max_n_genes, min_n_counts, max_n_counts, min_percent_mito, max_percent_mito, normalization_method, do_regression)
715 if success_run:
716 _update_status(stat, "Preparing preprocessing results visualizations...")
--> 717 self._preprocess_counts_ui(orig_n_cells, orig_n_genes)
718 _update_status(stat, "Done! See the results of preprocessing below")
719
/Notebooks/single_cell_clustering_notebook/singlecell.py in _preprocess_counts_ui(self, orig_n_cells, orig_n_genes)
831 display(output_div)
832 display(_info_message('Hover over the plot to interact.'))
--> 833 pca_fig, pca_py_fig = self._plot_pca()
834 pca_plot_box = Output(layout=Layout(
835 display='flex',
/Notebooks/single_cell_clustering_notebook/singlecell.py in _plot_pca(self)
845 fig_elbow_plot = plt.figure(figsize=(7, 6))
846 #pc_var = self.data.uns['pca_variance_ratio']
--> 847 pc_var = self.data.uns['pca']['variance_ratio']
848 pc_var = pc_var[:min(len(pc_var), 30)]
849
KeyError: 'pca'
<Figure size 504x432 with 0 Axes>
@edjuaro Can you confirm you're looking at the 36kernel
branch? That line of code should indeed cause a KeyError
in the 3.6, but I have it commented out on the 36kernel
branch.
Nope, I was on the develop branch -- my bad, that's the default branch I checkout for PRs. I'll check out the 36kernel branch.
It runs as expected. Note that I removed one line that seemed like a debugging line to me. See commit 53daea0 for "details"
@alex-wenzel Should we clean up the many branches in this repo? I like the minimalist approach of "Only a master and a develop branch unless we need other branches"
@edjuaro Agreed. I'll go ahead and delete this branch. I'm sure the other ones can be deleted as well since they're quite old. Sorry also for the name confusion.
This pull request makes the notebook (with new visualizations from the F1000 revision) compatible with the
python3.6
kernel on the notebook server. Development was with the recommended stable version of the notebook server19.07.1
. The notebook runs all the way through on the example dataset in the19.07.1
docker container on my laptop.