Aggregate data in a specific column about joypy HOT 3 CLOSED

Hi! Not sure I fully understood what you want to obtain here.
One thing I can say, though, is that kind="values" is not meant to be used with "by" - it's meant to be used only if you want to do all the binning yourself (and no smoothing will be done by joypy).
So you would need to have a dataframe with lat_bins as rows, and lon_bins as columns, with the grouped val in the cells. Does it make sense?

Example with iris (just renamed the columns to be similar to your case):

%matplotlib inline
df = iris[["SepalLength","SepalWidth","PetalLength"]].copy()
df.columns = "lat", "lon", "val"
df["lat_bin"] = pd.cut(df.lat, 10)
df["lon_bin"] = pd.cut(df.lon, 10)
grouped = df.groupby(["lat_bin","lon_bin"])["val"].sum().fillna(0).unstack(1)
joypy.joyplot(grouped, kind="values", x_range=[0,10]);

from joypy.

Then you're going to need to do some work to manually fix the x and y ticks as you prefer.

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Thanks, that helped!

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