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This is a code, I try to show a car speed 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',
#opacity=0.3,
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']
code choose in current data min and max speed then gives me a graph. In data, some speed data gaps are very big so I would like to create a colour scale between my speed value. (e.g If you choose max speed 200km/h your other 30km/h and 90km/h looks similar colour but normally really different speed )
My question is how can I create a scale for choosing a colour for speed?
EDIT:
This is an example of data 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
280
Color Scales in Plotly ExpressBy default, Plotly Express will use the color scale from the active template's layout. colorscales. sequential attribute, and the default active template is plotly which uses the Plasma color scale. You can choose any of the built-in color scales, however, or define your own.
Add Marker Border This can be achieved by adding the line property to the marker object. Here is an example of adding a marker border to a faceted scatter plot created using Plotly Express. Here is an example that creates an empty graph object figure, and then adds two scatter traces with a marker border.
One of the best ways to modify the size of the Plotly figure is by adjusting the width and the height parameters. We will start by discussing how to change the height and width parameters using Plotly Express. For example, in the following code, we create a simple line chart using the default Plotly's dimensions.
With px. scatter , each data point is represented as a marker point, whose location is given by the x and y columns. # x and y given as array_like objects import plotly.express as px fig = px.
Not 100% sure if I got the question right but you could try adding
showscale=True,
cmax=200,
cmin=0
to your Marker object to get a graph with a colorbar with fixed max and min values.
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