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First of all, thx for developing such an amazing tool.
It looks to me that the crossfolium TableFilter shows just some examples in its rows. I would need something that summarizes my data, though. Something like "pepe.groupby(['category']).mean()", so the tables show more valuable information to me. It actually works fine for 10-15 items (I guess it shows the first items, ...), but when zooming out, the map shows more than 150 items and then, showing some 10-15 items doesn't help much.
Is this possible with the actual package, modifying my dataframe "c == pepe", or some modification on the package should be done?
I am not an expert on python and to dive into developing skills to modify the crossfolium package could
be quite a challenge (although I would do it, if necessary).
Thanks a lot!
The text was updated successfully, but these errors were encountered:
First of all, thx for developing such an amazing tool.
It looks to me that the crossfolium TableFilter shows just some examples in its rows. I would need something that summarizes my data, though. Something like "pepe.groupby(['category']).mean()", so the tables show more valuable information to me. It actually works fine for 10-15 items (I guess it shows the first items, ...), but when zooming out, the map shows more than 150 items and then, showing some 10-15 items doesn't help much.
Is this possible with the actual package, modifying my dataframe "c == pepe", or some modification on the package should be done?
I am not an expert on python and to dive into developing skills to modify the crossfolium package could
be quite a challenge (although I would do it, if necessary).
Thanks a lot!
The text was updated successfully, but these errors were encountered: