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| id ▼ | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 186228633 | MDExOlB1bGxSZXF1ZXN0MTg2MjI4NjMz | 2107 | closed | 0 | ENH: added FacetGrid functionality to line plots | yohai 6164157 | closes #2084 a) plot.line can now accept also 'row' and 'col' keywords. b) If 'hue' is passed as a keyword to DataArray.plot() it generates a line plot FacetGrid. c) Line plots are automatically generated if the number of dimensions after faceting along row and/or col is one. - [x] Closes #xxxx (remove if there is no corresponding issue, which should only be the case for minor changes) - [x] Tests added (for all bug fixes or enhancements) - [x] Tests passed (for all non-documentation changes) - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later) | 2018-05-06T21:56:54Z | 2022-11-16T14:36:56Z | 2018-06-04T15:54:45Z | 2018-06-04T15:54:45Z | bc52f8aa64833d8c97f9ef5253b6a78c7033f521 | 0 | bace204776f853c6e1a69ca95074648fba548a1f | 69c9c45bf7a9d572200c4649605a5875e96b650c | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2107 | ||||
| 198318149 | MDExOlB1bGxSZXF1ZXN0MTk4MzE4MTQ5 | 2258 | closed | 0 | BUG: unnamed args in faceted line plots | yohai 6164157 | - [x] Closes #2248 (remove if there is no corresponding issue, which should only be the case for minor changes) - [x] Tests added (for all bug fixes or enhancements) - [x] Tests passed (for all non-documentation changes) Fixed a syntax inconsistency, allowing to pass unnamed arguments to faceted line plots. ```python Example code: import xarray as xr import numpy as np np.random.seed(0) da = xr.DataArray(np.random.randn(3, 3, 3, 3), dims=['x', 'y', 'z', 'w'], coords=[range(3), [3.5, 4.9, 6.7], ['a','b','c'], ['foo', 'bar', 'foobar']], name='arr_name') da.plot.line('o--',row='y', col='w',hue='z') ```  | 2018-06-29T13:30:54Z | 2018-06-29T14:00:47Z | 2018-06-29T13:59:12Z | 59ae8e48776efd3ca7d42b398d70b8fff99ce9be | 0 | cac5034b31283cc3be577cb6b530dec401203000 | 04a78d50a928f4af2efc4e1d19370c76d822dbb6 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2258 | |||||
| 198330151 | MDExOlB1bGxSZXF1ZXN0MTk4MzMwMTUx | 2259 | closed | 0 | BUG: unnamed args in faceted line plots | yohai 6164157 | - [x] Closes #2248 (remove if there is no corresponding issue, which should only be the case for minor changes) - [x] Tests added (for all bug fixes or enhancements) - [x] Tests passed (for all non-documentation changes) Fixed a syntax inconsistency, allowing to pass unnamed arguments to faceted line plots. Example code: ```python import xarray as xr import numpy as np np.random.seed(0) da = xr.DataArray(np.random.randn(3, 3, 3, 3), dims=['x', 'y', 'z', 'w'], coords=[range(3), [3.5, 4.9, 6.7], ['a','b','c'], ['foo', 'bar', 'foobar']], name='arr_name') da.plot.line('o--',row='y', col='w',hue='z') ```  | 2018-06-29T14:14:02Z | 2019-02-05T15:52:42Z | 2018-07-04T17:06:55Z | 2018-07-04T17:06:54Z | 63cc96484270dee83e92391e49ad76b8ef3b40b3 | 0 | 3b1d1477c18b7751c338aa3747624ccebc6fc64e | 04a78d50a928f4af2efc4e1d19370c76d822dbb6 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2259 | ||||
| 200571225 | MDExOlB1bGxSZXF1ZXN0MjAwNTcxMjI1 | 2277 | closed | 0 | ENH: Scatter plots of one variable vs another | yohai 6164157 | - [x] Closes #470 - [x] Tests added (for all bug fixes or enhancements) - [x] Tests passed (for all non-documentation changes) - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API - [x] Add support for `size`? - [x] Revert hue=datetime support bits Say you have two variables in a `Dataset` and you want to make a scatter plot of one vs the other, possibly using different hues and/or faceting. This is useful if you want to inspect the data to see whether two variables have some underlying relationships between them that you might have missed. It's something that I found myself manually writing the code for quite a few times, so I thought it would be better to have it as a feature. I'm not sure if this is actually useful for other people, but I have the feeling that it probably is. First, set up dataset with two variables: ```python import xarray as xr import numpy as np import matplotlib from matplotlib import pyplot as plt A = xr.DataArray(np.zeros([3, 11, 4, 4]), dims=[ 'x', 'y', 'z', 'w'], coords=[np.arange(3), np.linspace(0,1,11), np.arange(4), 0.1*np.random.randn(4)]) B = 0.1*A.x**2+A.y**2.5+0.1*A.z*A.w A = -0.1*A.x+A.y/(5+A.z)+A.w ds = xr.Dataset({'A':A, 'B':B}) ds['w'] = ['one', 'two', 'three', 'five'] ``` Now, we can plot all values of `A` vs all values of `B`: ```python plt.plot(A.values.flat,B.values.flat,'.') ```  What a mess. Wouldn't it be nice if you could color each point according to the value of some coordinate, say `w`? ```python ds.scatter(x='A',y='B', hue='w') ```  Huh! There seems to be some underlying structure there. Can we also facet over a different coordinate? ```python ds.scatter(x='A',y='B',col='x', hue='w') ```  | 2018-07-17T19:55:21Z | 2018-07-17T20:01:34Z | 2018-07-17T20:01:28Z | 2018-07-17T20:01:28Z | df63fce69b9cde68689362895ec394df75335313 | 0 | dd547c72998d9837d631fba2cfed2df2a0ec5ce7 | afee350789cacecc689c63fe580c98025e29d3db | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2296 | ||||
| 250978755 | MDExOlB1bGxSZXF1ZXN0MjUwOTc4NzU1 | 2749 | closed | 0 | Fix name loss when masking | yohai 6164157 | <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #2457 #2748 - [x] Tests added - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API I took a simple-minded strategy to fix: just mask and then rename the result to `self.name`. This is a slight overkill since the renaming will be done on every masking, not just on the edge cases when it's needed, but this is really a very small computational cost and it's much easier and bulletproof. | 2019-02-07T02:59:45Z | 2019-02-12T01:46:51Z | 2019-02-11T17:35:03Z | 2019-02-11T17:35:02Z | 07cfc5a884fea41426761c634d74d2f5de53db86 | 0 | 3a5967650559920518562c32652e76c5fcc2c21f | 6d2076688d4f5466cf77ace2b196e910c1c0fbb8 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2749 | ||||
| 252320508 | MDExOlB1bGxSZXF1ZXN0MjUyMzIwNTA4 | 2763 | closed | 0 | typo in whats_new | yohai 6164157 | just a small typo | 2019-02-12T13:44:42Z | 2019-02-12T17:41:54Z | 2019-02-12T17:41:54Z | 2019-02-12T17:41:54Z | 17fa64f5314aa898f262a73fdc00d228ec380968 | 0 | c9c75b27f6302924674ce494be2f29064f93f1f3 | 2089382ebe5828eeefe0590e28fd3a54156e69d0 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2763 | ||||
| 291980553 | MDExOlB1bGxSZXF1ZXN0MjkxOTgwNTUz | 3046 | closed | 0 | typo in whats-new | yohai 6164157 | Small typo. | 2019-06-26T13:07:47Z | 2019-06-26T16:29:15Z | 2019-06-26T15:35:52Z | 2019-06-26T15:35:52Z | 9728e89cdfd4afb9a0d79bae79a60021514df6b2 | 0 | 1f2f86dc80dc2d7e1f3fbd2dbad5d2cd3386c8cd | 17d18ce8230fea74e72ad59b84386cf662448d45 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/3046 | ||||
| 292842989 | MDExOlB1bGxSZXF1ZXN0MjkyODQyOTg5 | 3054 | closed | 0 | Flat iteration over DataArray | yohai 6164157 | - [ ] Tests added - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API A very simple way to iterate over `DataArray`s, imitating numpy's flat iterator. For a DataArray `da`, I implemented a flat iterator that works exactly like `da.values.flat`, but returns a singelton `DataArray` that has all the coordinates and meta data and whatnot. I wrote it because I needed it for something and thought it would be useful for others too. I'd love to hear your opinions - if you think it's useful I'll write up some unittests. | 2019-06-28T14:00:24Z | 2021-06-17T16:16:50Z | 2021-06-17T16:16:50Z | 49f4c332a931670dc977afcda064759bdbca2ee1 | 0 | ea607d19706838fdab4f8d9ad44a9bdb0296c139 | 7bf9df9d75c40bcbf2dd28c47204529a76561a3f | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/3054 | |||||
| 359459672 | MDExOlB1bGxSZXF1ZXN0MzU5NDU5Njcy | 3663 | closed | 0 | Typo in Universal Functions section | yohai 6164157 | <!-- Feel free to remove check-list items aren't relevant to your change --> - [ ] Closes #xxxx - [ ] Tests added - [ ] Passes `black . && mypy . && flake8` - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API | 2020-01-06T09:22:25Z | 2020-01-06T11:41:51Z | 2020-01-06T11:41:42Z | 2020-01-06T11:41:42Z | 8408036f3c9bf9b2db2b91839e1fc026d03a6fd1 | 0 | ade0eb610e06b850a9547a7ec4e082b72c69069c | 0ef9aa3abae55833e4431d690bc55c5b5a44911b | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/3663 | ||||
| 441923831 | MDExOlB1bGxSZXF1ZXN0NDQxOTIzODMx | 4188 | closed | 0 | Fix typo in error message in plot.py | yohai 6164157 | Fix typo in error message in plot.py | 2020-06-30T10:08:26Z | 2020-06-30T11:35:21Z | 2020-06-30T11:35:21Z | 2020-06-30T11:35:21Z | 54b9450b9b9b1805831b2a891dbf7aa321583096 | 0 | 9aba92ce4a9596d3f68f71f632d847b99fd5744b | bdcfab524ef1c852abe6dabcfabc7292f058fddc | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/4188 |
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