Hi Team,
I am trying plot a map in which I want the co-ordinates to displayed as a replica of google map
How do change the default symbol from circle to location pin. Can you please provide an example of the symbol = ālocation pinā
Hi Team,
I am trying plot a map in which I want the co-ordinates to displayed as a replica of google map
How do change the default symbol from circle to location pin. Can you please provide an example of the symbol = ālocation pinā
Hi @ashti,
Welcome to forum! The mapbox symbol for ālocation pinā is symbol ='marker'
, but the marker_color='red'
, for example, has no effect. Mapbox āmarkerā is 'black by default.
Example:
mapboxt = open(".mapbox_token").read().rstrip() #my mapbox_access_token
lats = [52.370216, 53.2191696, 50.851368, 51.8125626]
lons = [4.895168, 6.5666699, 5.690973, 5.8372264 ]
scatt = go.Scattermapbox(
lat=lats,
lon=lons,
mode='markers',
hovertext=['Amsterdam', 'Groningen', 'Maastricht', 'Nijmegen'],
hoverinfo='text',
below='',
marker=dict(symbol ='marker', size=15, color='blue'))
layout = go.Layout(title_text ='Pin location at a few cities in Netherlands',
title_x =0.5, width=750, height=700,
mapbox = dict(center= dict(lat=52.370216, lon=4.895168),
accesstoken= mapboxt,
zoom=6,
style="light"
))
fig=go.Figure(data=[ scatt], layout =layout)
For more symbols see this discussion: Scattermapbox marker with no fill
Thank you for this. Can we change the location color pin to red instead of blackā¦
There are other marker options as well which can be seen in : https://labs.mapbox.com/maki-icons/
marker-15.svg,marker-stroked.svg. Whats the right syntax to use them in the codeā¦I am assuming 11 and 15 are the size properties
No, unfortunately we canāt change the color.
The marker size displayed in the maki table must be omitted when you define symbol ='some-icon'
I realized that it is possible to define custom location pins, but not as svg paths. I defined them here https://plot.ly/~empet/15362/custom-location-pins/#/ as mapbox layers (https://plot.ly/python/mapbox-layers/) from geojson sources.