Linear-Gauge Chart in Python/v3
How to make interactive linear-guage charts in Python with Plotly.
Note: this page is part of the documentation for version 3 of Plotly.py, which is not the most recent version.
See our Version 4 Migration Guide for information about how to upgrade.
See our Version 4 Migration Guide for information about how to upgrade.
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Linear Gauge Chart Shell¶
Note the following tutorial shows how to create a linear-gauge chart with 4 gauges. It's recommended to use a width
between 600-1000px and ticklen
should be width/20
. These variables are definied in the code below.
In [2]:
from plotly import tools
import plotly.plotly as py
import plotly.graph_objs as go
# Define Titles and Labels for Each Scale
scales = ['<b>Tension</b>', '<b>Energy</b>',
'<b>Valence</b>', '<b>Prefer</b>']
scale1 = ['Very <br> Calm ', 'Moderately <br> Calm ',
'Slightly <br> Calm ', 'Neutral ',
'Slightly <br> Tense ', 'Moderately <br> Tense ',
'Very <br> Tense ']
scale2 = ['Very <br> Tired ', 'Moderately <br> Tired ',
'Slightly <br> Tired ', 'Neutral ',
'Slightly <br> Awake ', 'Moderately <br> Awake ',
'Very <br> Awake ']
scale3 = ['Very <br> Displeased ', 'Moderately <br> Displeased ',
'Slightly <br> Displeased ', 'Neutral ',
'Slightly <br> Pleased ', 'Moderately <br> Pleased ',
'Very <br> Pleased ']
scale4 = ['Strongly <br> Dislike ', 'Moderately <br> Dislike ',
'Slightly <br> Dislike ', 'Neutral ',
'Slightly <br> Like ', 'Moderately <br> Like ',
'Strongly <br> Like ']
scale_labels = [scale1, scale2, scale3, scale4]
# Add Scale Titles to the Plot
traces = []
for i in range(len(scales)):
traces.append(go.Scatter(
x=[0.6], # Pad the title - a longer scale title would need a higher value
y=[6.25],
text=scales[i],
mode='text',
hoverinfo='none',
showlegend=False,
xaxis='x'+str(i+1),
yaxis='y'+str(i+1)
))
# Create Scales
## Since we have 7 lables, the scale will range from 0-6
shapes = []
for i in range(len(scales)):
shapes.append({'type': 'rect',
'x0': .02, 'x1': 1.02,
'y0': 0, 'y1': 6,
'xref':'x'+str(i+1), 'yref':'y'+str(i+1)})
x_domains = [[0, .25], [.25, .5], [.5, .75], [.75, 1]] # Split for 4 scales
chart_width = 800
# Define X-Axes
xaxes = []
for i in range(len(scales)):
xaxes.append({'domain': x_domains[i], 'range':[0, 4],
'showgrid': False, 'showline': False,
'zeroline': False, 'showticklabels': False})
# Define Y-Axes (and set scale labels)
## ticklen is used to create the segments of the scale,
## for more information see: https://plotly.com/python/reference/#layout-yaxis-ticklen
yaxes = []
for i in range(len(scales)):
yaxes.append({'anchor':'x'+str(i+1), 'range':[-.5,6.5],
'showgrid': False, 'showline': False, 'zeroline': False,
'ticks':'inside', 'ticklen': chart_width/20,
'ticktext':scale_labels[i], 'tickvals':[0., 1., 2., 3., 4., 5., 6.]
})
# Put all elements of the layout together
layout = {'shapes': shapes,
'xaxis1': xaxes[0],
'xaxis2': xaxes[1],
'xaxis3': xaxes[2],
'xaxis4': xaxes[3],
'yaxis1': yaxes[0],
'yaxis2': yaxes[1],
'yaxis3': yaxes[2],
'yaxis4': yaxes[3],
'autosize': False,
'width': chart_width,
'height': 600
}
### ADD RATING DATA HERE ###
fig = dict(data=traces, layout=layout)
py.iplot(fig, filename='linear-gauge-layout')
Out[2]:
Add Rating Data¶
Ratings should be scaled between 0 - 6 to fit the y-values of the scales created above.
In [3]:
ratings = [4.5, 5, 1, 2.75]
for i in range(len(ratings)):
traces.append(go.Scatter(
x=[0.5], y=[ratings[i]],
xaxis='x'+str(i+1), yaxis='y'+str(i+1),
mode='markers', marker={'size': 16, 'color': '#29ABD6'},
text=ratings[i], hoverinfo='text', showlegend=False
))
fig = dict(data=traces, layout=layout)
py.iplot(fig, filename='linear-gauge')
Out[3]:
Reference¶
See https://plotly.com/python/reference/ for more information and chart attribute options!