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Neat viz!! How about dropping the nans from your data frame?
datadf.dropna(inplace=True)
The other thing you could do is alter the color stops so the default color is rgba(0,0,0,0) or directly supply a transparent color_default='rgba(0,0,0,0)' to CircleViz.
dropna() is a solution I tried before, it works when there are other values than NaN is the dataframe, but when the dataframe is empty (had only NaN), the map is not displayed at all (blank page)
The color_default='rgba(0,0,0,0)' in CircleViz doesn't change anything
In this particular case, it wouldn't be an empty dataframe though, would it? What about just dropping the entries where "ssh_karin" is null before creating the geojson layer?
Thanks for the reminder about the color default. I forgot that is for categorical color stops. It would be good to have the option to customize the color for missing data, though we didn't want to hide those points by default.
Null values are displayed with black circles on the map
How can i hide them ?
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