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- Rely on array backend for string formatting · 5 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1203860057 | https://github.com/pydata/xarray/pull/6823#issuecomment-1203860057 | https://api.github.com/repos/pydata/xarray/issues/6823 | IC_kwDOAMm_X85HwXJZ | keewis 14808389 | 2022-08-03T12:03:44Z | 2022-08-08T12:32:21Z | MEMBER |
I guess we could introduce some sort of |
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Rely on array backend for string formatting 1316549018 | |
| 1204216812 | https://github.com/pydata/xarray/pull/6823#issuecomment-1204216812 | https://api.github.com/repos/pydata/xarray/issues/6823 | IC_kwDOAMm_X85HxuPs | max-sixty 5635139 | 2022-08-03T16:46:19Z | 2022-08-03T16:46:19Z | MEMBER | Great idea — doing anything that's expensive on |
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Rely on array backend for string formatting 1316549018 | |
| 1204156997 | https://github.com/pydata/xarray/pull/6823#issuecomment-1204156997 | https://api.github.com/repos/pydata/xarray/issues/6823 | IC_kwDOAMm_X85HxfpF | Illviljan 14371165 | 2022-08-03T16:05:10Z | 2022-08-03T16:05:10Z | MEMBER |
Interesting idea. I was thinking just adding Anyway that's for another PR. I think this PR is ready now, I think it should handle the main request in #5976 without being so intrusive in other cases. |
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Rely on array backend for string formatting 1316549018 | |
| 1200289273 | https://github.com/pydata/xarray/pull/6823#issuecomment-1200289273 | https://api.github.com/repos/pydata/xarray/issues/6823 | IC_kwDOAMm_X85HivX5 | Illviljan 14371165 | 2022-07-30T20:31:01Z | 2022-07-30T20:31:01Z | MEMBER | This is how it behaves right now. I believe this should be the same behavior as previously now with the extra possibility to format scalar arrays: ```python import pandas as pd import xarray as xr s = pd.Series( range(4), index=pd.MultiIndex.from_product([list("ab"), list("cd")]), ) da = xr.DataArray.from_series(s, sparse=True) Handle sparse:print(f"Error: {da} is sparse") Error: <xarray.DataArray (level_0: 2, level_1: 2)> <COO: shape=(2, 2), dtype=float64, nnz=4, fill_value=nan> Coordinates: * level_0 (level_0) object 'a' 'b' * level_1 (level_1) object 'c' 'd' is sparse Handle format_spec:da = xr.DataArray([1, 2, 3]) print(f'{da[0]}') <xarray.DataArray ()> array(1) print(f'{da[0]:d}') 1 print(f'{da[0]:f}') 1.000000 da = xr.DataArray([1, 2, 3]) print(f'{da:.f}') Traceback (most recent call last): (...) NotImplementedError: Using format_spec is only supported when shape is (). Got shape = (3,). ``` |
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Rely on array backend for string formatting 1316549018 | |
| 1193853083 | https://github.com/pydata/xarray/pull/6823#issuecomment-1193853083 | https://api.github.com/repos/pydata/xarray/issues/6823 | IC_kwDOAMm_X85HKMCb | Illviljan 14371165 | 2022-07-25T10:15:16Z | 2022-07-25T10:15:16Z | MEMBER | Hmm, I'm not a fan that f-strings by default uses the backend array only: ```python import pandas as pd import xarray as xr s = pd.Series( range(4), index=pd.MultiIndex.from_product([list("ab"), list("cd")]), ) da = xr.DataArray.from_series(s, sparse=True) Uses format:print(f"Error: {da} is sparse") Error: <COO: shape=(2, 2), dtype=float64, nnz=4, fill_value=nan> is sparse ``` Should it by default just use the repr instead? But it won't feel very consistent once string formatting are used though. |
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Rely on array backend for string formatting 1316549018 |
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