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/7281#issuecomment-1312087585,https://api.github.com/repos/pydata/xarray/issues/7281,1312087585,IC_kwDOAMm_X85ONN4h,14371165,2022-11-11T19:14:35Z,2022-11-11T19:16:42Z,MEMBER,"Markersize before PR:
![image](https://user-images.githubusercontent.com/14371165/201413282-cc4ffef5-473a-41e9-ad6c-3673300ddb76.png)

Markersize after PR:
![image](https://user-images.githubusercontent.com/14371165/201413436-59738062-7b74-4d14-88e8-9d9a110339ac.png)

<details>

```python
import numpy as np
import matplotlib.pyplot as plt

import xarray as xr

temp = xr.DataArray(np.random.randn(10, 10, 2), coords=[np.arange(10), np.arange(10), [2021, 2022]], dims=[""lon"", ""lat"", ""year""])
prec = xr.DataArray(np.random.randn(10, 10, 2), coords=[np.arange(10), np.arange(10), [2021, 2022]], dims=[""lon"", ""lat"", ""year""])
one = xr.DataArray(np.random.randn(10, 10, 2), coords=[np.arange(10), np.arange(10), [2021, 2022]], dims=[""lon"", ""lat"", ""year""])
blue = xr.DataArray(np.random.randn(10, 10, 2), coords=[np.arange(10), np.arange(10), [2021, 2022]], dims=[""lon"", ""lat"", ""year""])
ds = xr.Dataset({""temperature"": temp, ""precipitation"": prec, 1: one, ""blue"": blue})

# Stack the non interesting dims:
# fig, ax = plt.subplots()
# ds.stack(stacked_dim=[...]).plot.scatter(x=""temperature"", y=""precipitation"")

fig, ax = plt.subplots()
ds.plot.scatter(x=""temperature"", y=""precipitation"", markersize=1)
```

</details>","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1445870847