Xin Zhang

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It works well for me: ![image](https://user-images.githubusercontent.com/30388627/154223459-03e7e95b-1b9c-415c-b155-148aec4a8476.png) ``` matplotlib: 3.5.1 proplot: 0.9.5.post202 ```

Note that the coast should be kept as the highest zorder.

You can add `discrete=True` to `ax.scatter()`: ![image](https://user-images.githubusercontent.com/30388627/154813555-d7612679-143e-4812-8cb7-69661a96d122.png)

@syrte To reproduce the matplotlib tick level or set your own level, you can use **Update: Oh, `levels=5` is enough ;)** ``` ax.scatter(......, levels=5, discrete=True) ``` ![image](https://user-images.githubusercontent.com/30388627/154813685-0b4eb787-185a-4bbe-a1d5-52de1374e3b6.png)

This [method](https://stackoverflow.com/questions/59887010/how-to-retrieve-a-gridline-axis-tick-positions) of retrieving gridline ticks may be useful for adding the function: ``` # create grid gridliner = ax.gridlines(draw_labels=True) # we need to draw the figure, such that the...

@lukelbd Luke, please feel free to assign me if you don't have time ;) This should be a simple PR.

@syrte Thanks! Don't know the method of `xformatter='log'` to use the matplotlib default. @lukelbd Yes. Omitting `1x` sounds good.

The xgcm has a function to calculate the boundary. Please see this [example](https://gist.github.com/zxdawn/49c73e4d1ef9043580644e57eaa16d83).

I suppose we can use the diagrams in @mheikenfeld 's [GMD paper](https://doi.org/10.5194/gmd-12-4551-2019) to explain these parameters, like @w-k-jones has done for the [Feature detection section](https://tobac.readthedocs.io/en/latest/feature_detection.html).

@deeplycloudy You're welcome. Glad it's useful ;) Which `n_min` do you mean? Could you copy the permalink here?