issue_comments: 580534808
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/issues/3731#issuecomment-580534808 | https://api.github.com/repos/pydata/xarray/issues/3731 | 580534808 | MDEyOklzc3VlQ29tbWVudDU4MDUzNDgwOA== | 8238804 | 2020-01-31T01:07:28Z | 2020-01-31T01:07:52Z | NONE | Why not allow multiple dimensions with the same name? They can be disambiguated with positional indexing for when it matters. I think support for this would be useful for pairwise measures. Here's a fun example/ current buggy behaviour: ```python import numpy as np import xarray as xr from string import ascii_letters idx1 = xr.IndexVariable("dim1", [f"dim1-{i}" for i in ascii_letters[:10]]) idx2 = xr.IndexVariable("dim2", [f"dim2-{i}" for i in ascii_letters[:5]]) da1 = xr.DataArray(np.random.random_sample((10, 5)), coords=(idx1, idx2)) da2 = xr.DataArray(np.random.random_sample((5, 10)), coords=(idx2, idx1)) da1 @ da2 <xarray.DataArray ()>array(13.06261098)``` |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
557257598 |