Color line_mapbox by continuous variable

[WillKoehrsen]

Is there a way to color a line_mapbox plot by a continuous variable? It looks like when I specify the color for a line_mapbox as a continuous float column, the float is interpreted as a category:

import pandas as pd
import plotly_express as px

df = pd.read_csv('https://raw.githubusercontent.com/WillKoehrsen/Data-Analysis/master/nyc_traffic_data/nyc_traffic_speed_routes_sample.csv', 
                 parse_dates=['time'])

px.set_mapbox_access_token(secrets['mapbox'])

px.line_mapbox(df.iloc[:10000], 
                  lat='latitude', lon='longitude', 
                  animation_frame='time', line_group='id',
                  animation_group='id',
                 color='speed', title='NYC Traffic Speeds',
                 height=800, zoom=9)

One solution would be to create my own column mapping the speeds to colors and then use that to color the lines, but I would still run into the issue of showing a legend. Thanks for the great library!

[nicolaskruchten]

This will be a bit tricky... still thinking about the best way forward :)

[sjordan29]

Did this ever get resolved? I am interested in doing something similar.

[josbenco]

Hi! I am also interested in doing the same. Have you solved it? Very nice library!

[nicolaskruchten]

There is no support for this yet, no.

[josbenco]

Thanks for the reply @nicolaskruchten !

[kmhaeren]

would be a cool feature

[jamesrwrc]

any update on this? Did anyone find a workaround? I'm currently working on a project doing a similar thing...

[sjordan29]

@jamesrwrc, I ended up using geoviews' Path in place of this -- so, not a solution but an alternative package/tool:

import geoviews as gv

line_map = gv.Path(gdf, vdims=[var]).opts(
	height = kwargs['height'],
	width = kwargs['width'],
	color = var, 
	colorbar = kwargs['colorbar'],
	cnorm = kwargs['cnorm'], 
	cmap = kwargs['cmap'], 
	clim = (kwargs['vmin'],
        kwargs['vmax']),
	title = var, 
)											)
line_map * kwargs['basemap']