-
-
Notifications
You must be signed in to change notification settings - Fork 1.1k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
scatter plot by order of the first appearance of hue #4723
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
For a test we could create a legend, loop over handles in the legend and check the labels?
the upstream-dev failure can be ignored, I guess (the next run of the scheduled CI should open a issue to track this). Should we merge this PR? |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks @keewis
b025776
to
f60db74
Compare
* upstream/master: (342 commits) fix decode for scale/ offset list (pydata#4802) Expand user dir paths (~) in open_mfdataset and to_zarr. (pydata#4795) add a version info step to the upstream-dev CI (pydata#4815) fix the ci trigger action (pydata#4805) scatter plot by order of the first appearance of hue (pydata#4723) don't skip the scheduled CI (pydata#4806) coords: retain str dtype (pydata#4759) Fix interval labels with units (pydata#4794) Always force dask arrays to float in missing.interp_func (pydata#4771) Print number of variables in repr (pydata#4762) install conda as a library in the minimum dependency check CI (pydata#4792) Migrate CI from azure pipelines to GitHub Actions (pydata#4730) use conda.api instead of parallel calls to the conda binary (pydata#4775) Speed up missing._get_interpolator (pydata#4776) Remove special case in guess_engines (pydata#4777) improve typing of OrderedSet (pydata#4774) CI: ignore some warnings (pydata#4773) DOC: update hyperlink for xskillscore (pydata#4778) drop support for python 3.6 (pydata#4720) Trigger upstream CI on cron schedule (by default) (pydata#4729) ...
* master: (458 commits) Add units if "unit" is in the attrs. (pydata#4850) speed up the repr for big MultiIndex objects (pydata#4846) dim -> coord in DataArray.integrate (pydata#3993) WIP: backend interface, now it uses subclassing (pydata#4836) weighted: small improvements (pydata#4818) Update related-projects.rst (pydata#4844) iris update doc url (pydata#4845) Faster unstacking (pydata#4746) Allow swap_dims to take kwargs (pydata#4841) Move skip ci instructions to contributing guide (pydata#4829) fix issues in drop_sel and drop_isel (pydata#4828) Bugfix in list_engine (pydata#4811) Add drop_isel (pydata#4819) Fix RST. Remove the references to `_file_obj` outside low level code paths, change to `_close` (pydata#4809) fix decode for scale/ offset list (pydata#4802) Expand user dir paths (~) in open_mfdataset and to_zarr. (pydata#4795) add a version info step to the upstream-dev CI (pydata#4815) fix the ci trigger action (pydata#4805) scatter plot by order of the first appearance of hue (pydata#4723) ...
As suggested by @ahuang11, this uses
pandas.unique(x.flatten())
instead ofnumpy.unique(x)
to preserve the order (numpy.unique
sorts its output). Apparently we could also use thereturn_index
option ofnumpy.unique
to reconstruct the order, but that seems involve sorting the indices:I'm not sure how to add tests for this change.
isort . && black . && mypy . && flake8
whats-new.rst