Show Sidebar Hide Sidebar # Gauge Charts in Python

How to make guage meter charts in Python with Plotly.

#### Basic Gauge¶

A radial gauge chart has a circular arc, which displays a single value to estimate progress toward a goal. The bar shows the target value, and the shading represents the progress toward that goal. Gauge charts, known as speedometer charts as well. This chart type is usually used to illustrate key business indicators.

In :
import plotly.graph_objects as go

fig = go.Figure(go.Indicator(
mode = "gauge+number",
value = 270,
domain = {'x': [0, 1], 'y': [0, 1]},
title = {'text': "Speed"}))

fig.show()


#### Add Steps, Threshold, and Delta¶

The following examples include "steps" attribute shown as shading inside the radial arc, "delta" which is the difference of the value and goal (reference - value), and "threshold" to determine boundaries that visually alert you if the value cross a defined threshold.

In :
import plotly.graph_objects as go

fig = go.Figure(go.Indicator(
domain = {'x': [0, 1], 'y': [0, 1]},
value = 450,
mode = "gauge+number+delta",
title = {'text': "Speed"},
delta = {'reference': 380},
gauge = {'axis': {'range': [None, 500]},
'steps' : [
{'range': [0, 250], 'color': "lightgray"},
{'range': [250, 400], 'color': "gray"}],
'threshold' : {'line': {'color': "red", 'width': 4}, 'thickness': 0.75, 'value': 490}}))

fig.show()


#### Custom Gauge Chart¶

In :
import plotly.graph_objects as go

fig = go.Figure(go.Indicator(
mode = "gauge+number+delta",
value = 420,
domain = {'x': [0, 1], 'y': [0, 1]},
title = {'text': "Speed", 'font': {'size': 24}},
delta = {'reference': 400, 'increasing': {'color': "RebeccaPurple"}},
gauge = {
'axis': {'range': [None, 500], 'tickwidth': 1, 'tickcolor': "darkblue"},
'bar': {'color': "darkblue"},
'bgcolor': "white",
'borderwidth': 2,
'bordercolor': "gray",
'steps': [
{'range': [0, 250], 'color': 'cyan'},
{'range': [250, 400], 'color': 'royalblue'}],
'threshold': {
'line': {'color': "red", 'width': 4},
'thickness': 0.75,
'value': 490}}))

fig.update_layout(paper_bgcolor = "lavender", font = {'color': "darkblue", 'family': "Arial"})

fig.show()


#### Reference¶ 