How to plot plotly gauge charts next to each other with python?

Question

I have two gauge plots in my script and want to visualize them, side by side.

import plotly.graph_objects as go

fig1 = go.Figure(go.Indicator(mode="gauge+number",    value=400,    domain={'x': [0, 1], 'y': [0, 1]},    title={'text': "Speed 1"}))

fig2 = go.Figure(go.Indicator(mode="gauge+number",    value=250,    domain={'x': [0, 1], 'y': [0, 1]},    title={'text': "Speed 2"}))

How can show fig1 and fig2 side by side?

Answer 1

You're on the right track using the domain attribute, but your exact specifications are off. With the rest of the setup in the complete code below, the following specifications produces the associated plot:

Domain specs

 domain={'x': [0.0, 0.4], 'y': [0.0, 1]}

 domain={'x': [0.6, 1.0], 'y': [0., 1.00]}

Plot

Complete code

import plotly
import plotly.offline as py
import plotly.graph_objs as go
import plotly.express as px

# traces with separate domains to form a subplot
trace1 = go.Indicator(mode="gauge+number",    value=400,    domain={'x': [0.0, 0.4], 'y': [0.0, 1]},    title={'text': "Speed 1"})

trace2 = go.Indicator(mode="gauge+number",    value=250,    domain={'x': [0.6, 1.0], 'y': [0., 1.00]},    title={'text': "Speed 2"})

# layout and figure production
layout = go.Layout(height = 600,
                   width = 600,
                   autosize = False,
                   title = 'Side by side gauge diagrams')
fig = go.Figure(data = [trace1, trace2], layout = layout)
fig.show()

Answer 2

You can show both figures side by side using subplots.

import plotly.graph_objs as go
from plotly.subplots import make_subplots

trace1 = go.Indicator(mode="gauge+number",    value=400,    domain={'row' : 1, 'column' : 1}, title={'text': "Speed 1"})
trace2 = go.Indicator(mode="gauge+number",    value=250,    domain={'row' : 1, 'column' : 2}, title={'text': "Speed 2"})

fig = make_subplots(
    rows=1,
    cols=2,
    specs=[[{'type' : 'indicator'}, {'type' : 'indicator'}]],
    )

fig.append_trace(trace1, row=1, col=1)
fig.append_trace(trace2, row=1, col=2)

fig.show()