Seriously need YOUR help!! Dash plotly is killing me.. /u/BlaZiixx Python Education

First of all, thank you!

I’ve been trying to build a choropleth map of Danish municipalities using Dash and Plotly, but I’ve hit a wall.
Despite extensive debugging, some regions remain unfilled on the map, and I can’t figure out why. (meaning: I see about 70% of all Regions, the rest doesn’t show up with the boundaries, it is just white spaces?)

The Problem:

It doesn’t show all the regions..
And you might start by thinking i haven’t put a value or made sure all regions are there.. Trust me, i have used hours of hours to debugging this..

What has been done so far:

Region name verification:

– Ensured all region names in the CSV (data.csv) match the GeoJSON (label_dk) names perfectly.
– Checked for extra spaces, diacritics, and case mismatches—everything aligns.

Data quality checks:

– Confirmed no missing or non-numeric values in the value column.
– Aggregated data correctly by region names, and all unique regions appear in the data.

GeoJSON debugging:

– Verified that all regions have geometries in the GeoJSON file.
– No missing or malformed geometries were found.

Regions in CSV but not in GeoJSON: set()
Regions in GeoJSON but not in CSV: set()

Visualization debugging:

– Outlined the regions with red boundaries to confirm the GeoJSON shapes are being loaded properly.
– All region boundaries show up, but some regions remain unfilled despite valid value data being passed.

What i have?:
I have a GeoJson file from here: https://github.com/magnuslarsen/geoJSON-Danish-municipalities
I have aggredated data with values in all Regions (i’ll post the data in the first comment)

Of course this is a part of a larger project, where all the other graphs and charts works just fine. But can’t seem to figure out the issues on this project?

I can provide the code used, but it is just:

 fig.add_trace(go.Choroplethmapbox( geojson=municipalities_geojson, locations=agg_data['Region'], z=agg_data['value'], featureidkey="properties.label_dk", colorscale="Greens", colorbar_title="Value", marker_line_width=1, # marker_line_color='red', #made them red to easy spot hovertemplate="<b>%{location}</b><br>Value: %{z}<extra></extra>" )) 

First of all, thank you!

I’ve been trying to build a choropleth map of Danish municipalities using Dash and Plotly, but I’ve hit a wall.
Despite extensive debugging, some regions remain unfilled on the map, and I can’t figure out why. (meaning: I see about 70% of all Regions, the rest doesn’t show up with the boundaries, it is just white spaces?)

The Problem:

It doesn’t show all the regions..
And you might start by thinking i haven’t put a value or made sure all regions are there.. Trust me, i have used hours of hours to debugging this..

What has been done so far:

Region name verification:

– Ensured all region names in the CSV (data.csv) match the GeoJSON (label_dk) names perfectly.
– Checked for extra spaces, diacritics, and case mismatches—everything aligns.

Data quality checks:

– Confirmed no missing or non-numeric values in the value column.
– Aggregated data correctly by region names, and all unique regions appear in the data.

GeoJSON debugging:

– Verified that all regions have geometries in the GeoJSON file.
– No missing or malformed geometries were found.

Regions in CSV but not in GeoJSON: set()
Regions in GeoJSON but not in CSV: set()

Visualization debugging:

– Outlined the regions with red boundaries to confirm the GeoJSON shapes are being loaded properly.
– All region boundaries show up, but some regions remain unfilled despite valid value data being passed.

What i have?:
I have a GeoJson file from here: https://github.com/magnuslarsen/geoJSON-Danish-municipalities
I have aggredated data with values in all Regions (i’ll post the data in the first comment)

Of course this is a part of a larger project, where all the other graphs and charts works just fine. But can’t seem to figure out the issues on this project?

I can provide the code used, but it is just:

 fig.add_trace(go.Choroplethmapbox( geojson=municipalities_geojson, locations=agg_data['Region'], z=agg_data['value'], featureidkey="properties.label_dk", colorscale="Greens", colorbar_title="Value", marker_line_width=1, # marker_line_color='red', #made them red to easy spot hovertemplate="<b>%{location}</b><br>Value: %{z}<extra></extra>" ))