Simplekml and (geo)pandas

[gper...@gmail.com]

I am trying to convert a large number of polygons stored in a (Geo)DataFrame to a KML fils. I'd like to avoid iterating over each row of the DataFrame.

That's why I am trying to use apply method on the entire DataFrame as explained here: https://gist.github.com/tdhopper/5247816

This works fine and is much faster than iterating over each polygon. However, I am not able to apply a custom style to each polygon.

Do you have any suggestion?

Thanks,

Giuseppe

[jop...@gmail.com]

Hello, 

¿you resolve the problem? I have this problem now

[Basil Veerman]

This is not a problem with simplekml or [geo]pandas. You just need to wrap whatever per-point functionality you want in a single callable to pass to the `apply` method, Consider this psuedocode. It is entirely untested.

```

import simplekml
kml = simplekml.Kml()

def create_point(X):
    pnt = kml.newpoint(name=X["name"], coords=[( X["longitude"],X["latitude"])])

    pnt.style.labelstyle.color = simplekml.Color.red # Make the text red
    pnt.style.labelstyle.scale = 2  # Make the text twice as big
    pnt.style.iconstyle.icon.href = 'http://maps.google.com/mapfiles/kml/shapes/placemark_circle.png'

df.apply(create_point)

kml.save(path = "data.kml")
```

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