8

I'm trying to build a home value Heat Map for a city using Folium (a python library that uses Leaflet to plot geo data). My Dataframe contains Latitude, Longitude, and Price (variable which is going to act as weight). Cheap areas should be green and expensive, red. The problem is that some poor regions with many dots seem to be more expensive, because those dots overlay each other and turn that region red. The method has some parameters to switch, but any of them solved my problem. Does anyone have a way to overcome this or an alternative library to make interactive heat maps using python?

Henrique Nader
  • 269
  • 2
  • 11
  • 2
    Same problem here. What you want to see on the map is the average of each cluster instead of a value aggregation. Kibana can do that, but it's a database + dahsboard solution, not a python library. It's open source, btw. – jsa Jul 05 '18 at 11:14
  • 2
    Same problem here, too. – chitown88 Jul 11 '18 at 12:00
  • 2
    Same problem.. did anyone find a solution? – Riz.Khan Mar 01 '19 at 20:08
  • Not yet. After some months I’m trying the same thing and no solutions. – Henrique Nader Mar 08 '19 at 16:58
  • I came across the same problem. Any solutions yet? –  Mar 04 '20 at 17:38
  • Looking for solution to this as well. I'm really surprised folium not capable of this. I did find this example though. so I may try to implement this [way](https://github.com/jeffkaufman/apartment_prices). But i don't understand the point of the weight column then for the heatmap plugin, if it's purely based on single points overlap. 2 points overlapping with values of 1,2; show same "heat" as 2 points overlapping with values of 99,100. Shouldn't the 99, 100 over lap be "hotter" than 1,2? – chitown88 May 11 '20 at 16:01

0 Answers0