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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 774872375 | PR_kwDOAMm_X84uL503 | 5948 | closed | 0 | Fix plot.line crash for data of shape (1, N) in _title_for_slice on format_item | s-weigand 9513634 | <!-- Feel free to remove check-list items aren't relevant to your change --> Affected `xarray` versions `0.20.0`+ When dependabot recently made a PR to update `xarray` to `0.20.0` our integration test CI failed with ``` .... File "/opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages/xarray/plot/plot.py", line 447, in line ax.set_title(darray._title_for_slice()) File "/opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages/xarray/core/dataarray.py", line 3140, in _title_for_slice v=format_item(coord.values), File "/opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages/xarray/core/formatting.py", line 146, in format_item return f"{x:.4}" TypeError: unsupported format string passed to numpy.ndarray.__format__ ``` We use `xarray.Dataarray.plot.line(x="<dim_name>")` to plot data of shape `(N, M)` where `N` and `M` are `>=1`. The crash is caused because the following line https://github.com/pydata/xarray/blob/402a9b398868bd9bd385210138d6f8ea610c8c40/xarray/core/dataarray.py#L3136 allows arrays of shape `()` and `(1,)` to be passed into `format_item`, where both pass this check https://github.com/pydata/xarray/blob/402a9b398868bd9bd385210138d6f8ea610c8c40/xarray/core/formatting.py#L145-L146 But `f"{x:.4}"` only works for arrays of shape `()` and crashes on arrays of shape `(1,)` Before the check was https://github.com/pydata/xarray/blob/a78c1e0115d38cb4461fd1aba93334d440cff49c/xarray/core/formatting.py#L145-L146 Which didn't allow any arrays and caused the float formatting issue. <details> <summary>Code showing the differences</summary> ```python In [1]: import numpy as np In [2]: x = np.array(0.1) In [3]: x.shape Out[3]: () In [4]: np.issubdtype(type(x), np.floating) Out[4]: False In [5]: hasattr(x, "dtype") and np.issubdtype(x.dtype, np.floating) Out[5]: True In [6]: f"{x:.4}" Out[6]: '0.1' In [7]: f"{x.item():.4}" Out[7]: '0.1' In [8]: x = np.array([0.1]) In [9]: x.shape… | 2021-11-06T22:56:59Z | 2021-11-08T18:40:08Z | 2021-11-08T17:27:45Z | 2021-11-08T17:27:44Z | eac78cc0cc2a205bfaa49aa9a46987116021b97a | 0 | 51b6cd89157defb426cb33afa44124dfbf1fb7bb | 402a9b398868bd9bd385210138d6f8ea610c8c40 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/5948 | ||||
| 835041515 | PR_kwDOAMm_X84xxbjr | 6207 | closed | 0 | Fix missing dependecy definition of 'packaging' | s-weigand 9513634 | Hi there, we just wanted to upgrade `xarray` to version `0.21.0` and our [ASV workflow on the CI started failing](https://github.com/glotaran/pyglotaran/runs/4989968632?check_suite_focus=true). ```python File "/home/runner/work/pyglotaran/pyglotaran/benchmark/.asv/env/76391772e92136ec87b9940d70226329/lib/python3.8/site-packages/xarray/core/dask_array_compat.py", line 4, in <module> from packaging.version import Version ModuleNotFoundError: No module named 'packaging' ``` The reason is that `packaging` isn't a direct dependency of `xarray`. ```console $ johnnydep xarray 2022-01-29 08:28:38 [info ] init johnnydist [johnnydep.lib] dist=xarray parent=None 2022-01-29 08:28:40 [info ] init johnnydist [johnnydep.lib] dist=numpy>=1.18 parent=xarray 2022-01-29 08:28:44 [info ] init johnnydist [johnnydep.lib] dist=pandas>=1.1 parent=xarray 2022-01-29 08:28:47 [info ] init johnnydist [johnnydep.lib] dist=numpy>=1.18.5 parent=pandas>=1.1 2022-01-29 08:28:51 [info ] init johnnydist [johnnydep.lib] dist=python-dateutil>=2.8.1 parent=pandas>=1.1 2022-01-29 08:28:53 [info ] init johnnydist [johnnydep.lib] dist=pytz>=2020.1 parent=pandas>=1.1 2022-01-29 08:28:56 [info ] init johnnydist [johnnydep.lib] dist=six>=1.5 parent=python-dateutil>=2.8.1 name summary ------------------------------ ----------------------------------------------------------------------- xarray N-D labeled arrays and datasets in Python ├── numpy>=1.18 NumPy is the fundamental package for array computing with Python. └── pandas>=1.1 Powerful data structures for data analysis, time series, and statistics ├── numpy>=1.18.5 NumPy is the fundamental package for array computing with Python. ├── python-dateutil>=2.8.1 Extensions to the standard Python datetime module │ └── six>=1.5 … | 2022-01-29T08:19:09Z | 2022-02-01T18:29:04Z | 2022-01-31T23:51:59Z | 2022-01-31T23:51:59Z | 5973ef380d244931f0b5d2d6bbf762ea7b0a0d44 | 0 | 1c64bd8ef4e62d96ffc96889501d71b36d041fa5 | e8d42394b0b4a887ca7246aaae55f9347076f430 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/6207 |
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