Closed vlulla closed 2 years ago
Hmmm...I copy/pasted into a new ipynb only the necessary input blocks (1, 2, 3, 4, 7, 8, and 14) and the results
dataframe (from block 14) states that there were only 1787 nb_reaches
(which corresponds to nb_reaches
in the zarr queries). What am I missing?
Hmmm...I copy/pasted into a new ipynb only the necessary input blocks (1, 2, 3, 4, 7, 8, and 14) and the
results
dataframe (from block 14) states that there were only 1787nb_reaches
(which corresponds tonb_reaches
in the zarr queries). What am I missing?
I think that's the value it's supposed to have. What did you expect it to be?
Oh I see. I have to remove the comment above the block! Will do...
Had to do git commit --amend
because my jupyter notebook has stopped working locally and it did not export the python script! So, manually fixed it manually.
@lewfish I did a git rebase -i
to squash multiple commits on my local branch and git now says that my local branch and origin have diverged. Is it alright to do a git push --force
now?
Removed the extraneous verbiage from the first comment!
Is it alright to do a
git push --force
now?
yes
Fixed everything you suggested! Can you please review it?
Squashed the two commits into one. Thanks for the patient review!
Now we have same queries for zarr and parquet.
Overview
The parquet and zarr benchmarks now have the same queries over the same time ranges.
Checklist
nbautoexport export .
in/opt/src/notebooks
and committed the generated scripts. This is to make reviewing notebooks easier. (Note the export will happen automatically after saving notebooks from the Jupyter web app.)