issue_comments: 1193853083
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/pull/6823#issuecomment-1193853083 | https://api.github.com/repos/pydata/xarray/issues/6823 | 1193853083 | IC_kwDOAMm_X85HKMCb | 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. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
1316549018 |