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As I mentioned in the comments, in order to give tooltips in the choropleth map, they have to be in the geojson file, not in the dataframe value, in order to be displayed. So I used geopandas for the geojson file to be used, combined the data frames and added the price information to the geojson file. The column names in the original data frame have been modified to match the geojson file. It can also be used as a label by adding an alias name. The tooltip can be styled, so I added that as well.

geopandas 0.10.1

• have noted that your data is on kaggle, so start by sourcing it
• there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
• full code below, have randomly selected a point to serve as gpdPoint

• there are two core options
  1. add as layers https://plotly.com/python/mapbox-layers/
  2. add as choropleth traces https://plotly.com/python/mapbox-county-choropleth/
  3. layers-legend - same as layers option with addition of creation of a legend by adding additional traces to figure
• both these options are coded up below. change value of OPTION to switch between them
• layers means there is no legend or hover text
• choropleth these are present, moved colorbar so it does not overlap legend. More beatification of legend and hover text requires...

You are not loading Bootstrap's javascript files, simply add:

Once again, they were looking for a way to express the purpose in a heat map, so I used Plotly's data on airline arrivals and departures to visualize it.

The number of flights to and from the U.S. mainland only was used for the data.

Excluded IATA codes['LIH','HNL','STT','STX','SJU','OGG','KOA']

• Draw a straight line on the map from the latitude and longitude of the departure airport to the latitude and longitude of the arrival airport.

• Draw a heat map with data on the number of arrivals and departures by airport.

• Since we cannot use a discrete colormap, we will create a linear colormap and add it.

• Embed the heatmap as a layer named Traffic

When you create product_list like that, you are not creating N different dictionaries. You are creating a list with N references to a single dictionary. When you modify any of them, you're modifying all of them.

You should create product_list as empty:

You have installed an extremely old version of OSMnx. Your conda list output shows you have version 0.7.3 installed, and that was released 3 or 4 years ago. It's so old that it's incompatible with the modern features of GeoPandas and pyproj, including the modern CRS object that's causing your error. I'm not clear how you did it! My best guess is you installed using one of the old tags on this page, which do point to version 0.7.3.

This should be fixed by removing the old environment and then following the installation instructions here, like:

You can use formatter instead of callback like below.

There was some mistakes in your code, here's a working example based on the 'wb_pos' field of your input data because you actually do not have any Total field.