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scatter plot by order of the first appearance of hue #4723

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merged 11 commits into from
Jan 13, 2021

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keewis
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@keewis keewis commented Dec 22, 2020

As suggested by @ahuang11, this uses pandas.unique(x.flatten()) instead of numpy.unique(x) to preserve the order (numpy.unique sorts its output). Apparently we could also use the return_index option of numpy.unique to reconstruct the order, but that seems involve sorting the indices:

def _unique(array):
    array = array.flatten()
    _, indices = np.unique(array, return_index=True)
    return array[np.sort(indices)]

I'm not sure how to add tests for this change.

@keewis keewis changed the title scatter plot by order of first appearance scatter plot by order of the first appearance of the hue Dec 22, 2020
@keewis keewis changed the title scatter plot by order of the first appearance of the hue scatter plot by order of the first appearance of hue Dec 22, 2020
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For a test we could create a legend, loop over handles in the legend and check the labels?

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@keewis keewis closed this Jan 6, 2021
@keewis keewis reopened this Jan 6, 2021
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keewis commented Jan 11, 2021

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?

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Thanks @keewis

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keewis commented Jan 13, 2021

thanks for the reviews, @dcherian, @shoyer.

@keewis keewis merged commit 747fe26 into pydata:master Jan 13, 2021
@keewis keewis deleted the scatter-legend-labels branch January 13, 2021 23:02
dcherian added a commit to TomNicholas/xarray that referenced this pull request Jan 18, 2021
* 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)
  ...
dcherian added a commit to dcherian/xarray that referenced this pull request Feb 3, 2021
* 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)
  ...
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Wrong hue assignment in scatter plot
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