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/5201#issuecomment-872069660,https://api.github.com/repos/pydata/xarray/issues/5201,872069660,MDEyOklzc3VlQ29tbWVudDg3MjA2OTY2MA==,4160723,2021-07-01T09:08:22Z,2021-07-01T09:08:22Z,MEMBER,xref: https://github.com/jupyterlab/jupyterlab/issues/8971,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,863506023
https://github.com/pydata/xarray/pull/5201#issuecomment-872062632,https://api.github.com/repos/pydata/xarray/issues/5201,872062632,MDEyOklzc3VlQ29tbWVudDg3MjA2MjYzMg==,4160723,2021-07-01T09:00:12Z,2021-07-01T09:00:31Z,MEMBER,"Here are some profiling results on my laptop (MacOS 11.2, MacBook Pro 13-inch, 2019).

versions:

chrome: 91.0.4472.114 
jupyterlab: 3.0.14
xarray: (master)
pandas: 1.2.2

The results below only show the refresh of the ouput cell when I re-execute it (I used the screenshots in chrome's web developer tools to manually set the time span of interest on the profiling timeline).

I've also measured the rendering of a very basic pandas dataframe using 

```python
import xarray as xr
import numpy as np
import pandas as pd
data = np.random.rand(4)
a = xr.DataArray(data, coords=[np.arange(4)], dims=['x'])
df = pd.DataFrame({'col': data})
```

#### pandas / no additional cell

<img width=""354"" alt=""profile-pandas-no-cell"" src=""https://user-images.githubusercontent.com/4160723/124095668-2fdf3080-da5a-11eb-92f0-87bd9fbe1fb6.png"">

##### pandas / many empty cells 

<img width=""357"" alt=""profile-pandas-many-cells"" src=""https://user-images.githubusercontent.com/4160723/124095724-3d94b600-da5a-11eb-8597-e0dbdac11c49.png"">

#### xarray / no additional cell

<img width=""349"" alt=""profile-xarray-no-cell"" src=""https://user-images.githubusercontent.com/4160723/124095769-484f4b00-da5a-11eb-9bf5-75dfe30410be.png"">

#### xarray / many empty cells

<img width=""350"" alt=""profile-xarray-many-cells"" src=""https://user-images.githubusercontent.com/4160723/124095802-52714980-da5a-11eb-9fb5-5833528f1de6.png"">

So it seems to me that it's more a Jupyter notebook issue. The decrease in performance (rendering time) scales pretty much the same for pandas and xarray reprs.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,863506023