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Recently, I am focusing on visualizing some datasets of Switzerland through 'contextily' package in python. For the geo coordinate in meter, I decided to use the 'EPSG:3857' as the CRS. However, I met a mistake during the basemap time.
Exactly, as the following code, I have finished the preliminary visualization about the dataset that I used. seaborn.jointplot(x = "Longitude", y = "Latitude", data = CH_points, s = 2.0);
The result is here, it works well.
And then, I consider using the function 'contextily.add_basemap()' to make kde-plot looks better, at least in Switzerland.
mmm... Would you be comfortable sharing a sample of your data? Or a synthetic version that replicates its characteristics? Happy to take a quick look. My sense is it has to do with the CRS set in CH_points_3857, which I can't check.
Hello everyone, Greeting for Switzerland.
Recently, I am focusing on visualizing some datasets of Switzerland through 'contextily' package in python. For the geo coordinate in meter, I decided to use the 'EPSG:3857' as the CRS. However, I met a mistake during the basemap time.
Exactly, as the following code, I have finished the preliminary visualization about the dataset that I used.

seaborn.jointplot(x = "Longitude", y = "Latitude", data = CH_points, s = 2.0);
The result is here, it works well.
And then, I consider using the function 'contextily.add_basemap()' to make kde-plot looks better, at least in Switzerland.
The result is here. As you see, it can load the basemap, not bad, right? But the basemap now is in France, not in Switzerland.

I have tried to search the similar questions, infos, and solutions via Google, StackOverflow, but no idea...
So Looking forward to your comments and solutions. Have a nice day. :)
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