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/2459#issuecomment-586552823,https://api.github.com/repos/pydata/xarray/issues/2459,586552823,MDEyOklzc3VlQ29tbWVudDU4NjU1MjgyMw==,40251676,2020-02-15T04:31:54Z,2020-02-15T04:31:54Z,NONE,"@crusaderky Thanks for the pointer to `xarray.DataArray(df)` -- that makes my life a ton easier. 

<br>

That said, if it helps anyone to know, I did just want a `DataArray`, but figured there was no alternative to first running the rather singular `to_xarray`. I also still find the runtime surprising, though I know nothing about `xarray`'s internals.



","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,365973662
https://github.com/pydata/xarray/issues/2459#issuecomment-586066908,https://api.github.com/repos/pydata/xarray/issues/2459,586066908,MDEyOklzc3VlQ29tbWVudDU4NjA2NjkwOA==,40251676,2020-02-14T02:25:25Z,2020-02-14T02:25:25Z,NONE,"I've run into this twice. This time I'm seeing a difference of very roughly 100x or more just using a transpose -- I can't test or time it properly right now, but this is what it looks like:

```
ipdb> df
x              a       b  ...    c      d
y              0       0  ...    7      7
z                         ...            
0       0.000000     0.0  ...  0.0    0.0
1      -0.000416     0.0  ...  0.0    0.0

[2 rows x 2932 columns]
ipdb> df.to_xarray()

<I quit out because it takes at least 30s>

ipdb> df.T.to_xarray()

<Finishes instantly>

```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,365973662