This is the code I'm trying to show the speed of the car for each point.
import plotly.plotly as py
from plotly.graph_objs import *
mapbox_access_token = 'MAPBOX API KEY'
data = Data([
Scattermapbox(
lat=dataframe_monday_morning['latitude'],
lon=dataframe_monday_morning['longitude'],
mode='markers',
marker=Marker(
size=5,
color =dataframe_monday_morning['speed'],
colorscale= 'YlOrRd',
symbol = 'circle',
),
)
])
layout = Layout(
autosize=True,
hovermode='closest',
width=1300,
margin=go.Margin(
l=0,
r=0,
b=0,
t=0
),
height=700,
mapbox=dict(
accesstoken=mapbox_access_token,
bearing=0,#
center=dict(
lat=-36.7526,
lon=174.7274
),
pitch=0,
zoom=16.2,
style='dark',
),
)
fig = dict(data=data, layout=layout)
py.iplot(fig, filename='Multiple Mapbox')
but when i try
color =dataframe_monday_morning['speed']
the code selects the current min and max speed data and then gives me a graph. In the data, some gaps in speed are very large, so I would like to create a color scale between my speed value. (for example, if you choose a top speed of 200 km / h, the other 30 km / h and 90 km / h look the same color, but usually really differ in speed).
My question is, how can I create a scale for choosing colors for speed?
EDIT:
This is an example of the data that I edited.
13 1.464301e+10 2015-11-15 18:28:50 191 10051 76 -36.817540 174.750526
14 1.464298e+10 2015-11-15 18:27:20 209 10051 48 -36.806104 174.759209
15 1.464180e+10 2015-11-15 17:41:27 171 10051 0 -36.718553 174.713503
16 1.464186e+10 2015-11-15 17:43:44 172 10051 25 -36.720747 174.713897
17 1.464238e+10 2015-11-15 18:05:36 137 10051 5 -36.753691 174.728945
18 1.464199e+10 2015-11-15 17:49:22 170 10051 0 -36.728252 174.715084
19 1.464279e+10 2015-11-15 18:20:41 153 10051 20 -36.787389 174.752337
20 1.464229e+10 2015-11-15 18:01:47 146 10051 16 -36.749369 174.724865
21 1.464298e+10 2015-11-15 18:27:39 216 10051 51 -36.807940 174.757603
22 1.464254e+10 2015-11-15 18:11:35 162 10051 36 -36.765195 174.739728
23 1.464301e+10 2015-11-15 18:28:37 197 10051 66 -36.815369 174.751177