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- error for apply_ufunc with exclude_dims and vectorize · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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605704846 | https://github.com/pydata/xarray/issues/3890#issuecomment-605704846 | https://api.github.com/repos/pydata/xarray/issues/3890 | MDEyOklzc3VlQ29tbWVudDYwNTcwNDg0Ng== | mathause 10194086 | 2020-03-29T21:30:38Z | 2020-03-29T21:30:38Z | MEMBER | Not very elegant... ```python from collections import Counter input_core_dims = [["time"], ["time", "foo"], ["bar"]] exclude_dims = set(["time"]) c = Counter() for dims in input_core_dims: for d in dims: if d in exclude_dims: d_new = f"{d}_{c[d]}" c.update([d]) else: d_new = d print(d_new) ``` |
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error for apply_ufunc with exclude_dims and vectorize 587735698 | |
603882831 | https://github.com/pydata/xarray/issues/3890#issuecomment-603882831 | https://api.github.com/repos/pydata/xarray/issues/3890 | MDEyOklzc3VlQ29tbWVudDYwMzg4MjgzMQ== | mathause 10194086 | 2020-03-25T14:49:08Z | 2020-03-25T15:18:29Z | MEMBER | In and Thus, for the given example:
So I assume |
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error for apply_ufunc with exclude_dims and vectorize 587735698 |
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