Carpet Contour Plot in Python
How to make carpet contour plots in Python with Plotly.
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Basic Carpet Plot¶
Set the x and y coordinates, using x and y attributes. If x coordinate values are omitted a cheater plot will be created. To save parameter values use a and b attributes. To make changes to the axes, use aaxis or baxis attributes. For a more detailed list of axes attributes refer to python reference.
import plotly.graph_objects as go
fig = go.Figure(go.Carpet(
a = [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3],
b = [4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6],
x = [2, 3, 4, 5, 2.2, 3.1, 4.1, 5.1, 1.5, 2.5, 3.5, 4.5],
y = [1, 1.4, 1.6, 1.75, 2, 2.5, 2.7, 2.75, 3, 3.5, 3.7, 3.75],
aaxis = dict(
tickprefix = 'a = ',
smoothing = 0,
minorgridcount = 9,
type = 'linear'
),
baxis = dict(
tickprefix = 'b = ',
smoothing = 0,
minorgridcount = 9,
type = 'linear'
)
))
fig.show()
Add Contours¶
import plotly.graph_objects as go
fig = go.Figure()
fig.add_trace(go.Contourcarpet(
a = [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3],
b = [4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6],
z = [1, 1.96, 2.56, 3.0625, 4, 5.0625, 1, 7.5625, 9, 12.25, 15.21, 14.0625],
autocontour = False,
contours = dict(
start = 1,
end = 14,
size = 1
),
line = dict(
width = 2,
smoothing = 0
),
colorbar = dict(
len = 0.4,
y = 0.25
)
))
fig.add_trace(go.Carpet(
a = [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3],
b = [4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6],
x = [2, 3, 4, 5, 2.2, 3.1, 4.1, 5.1, 1.5, 2.5, 3.5, 4.5],
y = [1, 1.4, 1.6, 1.75, 2, 2.5, 2.7, 2.75, 3, 3.5, 3.7, 3.75],
aaxis = dict(
tickprefix = 'a = ',
smoothing = 0,
minorgridcount = 9,
type = 'linear'
),
baxis = dict(
tickprefix = 'b = ',
smoothing = 0,
minorgridcount = 9,
type = 'linear'
)
))
fig.show()
Add Multiple Traces¶
import plotly.graph_objects as go
import json
from urllib.request import urlopen
url = "https://raw.githubusercontent.com/bcdunbar/datasets/master/airfoil_data.json"
data = json.load(urlopen(url))
fig=go.Figure()
fig.add_trace(go.Carpet(
a = data[0]['a'],
b = data[0]['b'],
x = data[0]['x'],
y = data[0]['y'],
baxis = dict(
startline = False,
endline = False,
showticklabels = "none",
smoothing = 0,
showgrid = False
),
aaxis = dict(
startlinewidth = 2,
startline = True,
showticklabels = "none",
endline = True,
showgrid = False,
endlinewidth = 2,
smoothing = 0
)
))
fig.add_trace(go.Contourcarpet(
z = data[1]['z'],
autocolorscale = False,
zmax = 1,
name = "Pressure",
colorscale = "Viridis",
zmin = -8,
colorbar = dict(
y = 0,
yanchor = "bottom",
len = 0.75,
title = dict(
text="Pressure coefficient, c<sub>p</sub>",
side="right")
),
contours = dict(
start = -1,
size = 0.025,
end = 1.000,
showlines = False
),
line = dict(
smoothing = 0
),
autocontour = False,
zauto = False
))
fig.add_trace(go.Contourcarpet(
z = data[2]['z'],
opacity = 0.300,
showlegend = True,
name = "Streamlines",
autocontour = True,
ncontours = 50,
contours = dict(
coloring = "none"
),
line = dict(
color = "white",
width = 1
)
))
fig.add_trace(go.Contourcarpet(
z = data[3]['z'],
showlegend = True,
name = "Pressure<br>contours",
autocontour = False,
line = dict(
color = "rgba(0, 0, 0, 0.5)",
smoothing = 1
),
contours = dict(
size = 0.250,
start = -4,
coloring = "none",
end = 1.000,
showlines = True
)
))
fig.add_trace(go.Scatter(
x = data[4]['x'],
y = data[4]['y'],
legendgroup = "g1",
name = "Surface<br>pressure",
mode = "lines",
hoverinfo = "skip",
line = dict(
color = "rgba(255, 0, 0, 0.5)",
width = 1,
shape = "spline",
smoothing = 1
),
fill = "toself",
fillcolor = "rgba(255, 0, 0, 0.2)"
))
fig.add_trace(go.Scatter(
x = data[5]['x'],
y = data[5]['y'],
showlegend = False,
legendgroup = "g1",
mode = "lines",
hoverinfo = "skip",
line = dict(
color = "rgba(255, 0, 0, 0.3)",
width = 1
)
))
fig.add_trace(go.Scatter(
x = data[6]['x'],
y = data[6]['y'],
showlegend = False,
legendgroup = "g1",
name = "cp",
text = data[6]['text'],
hoverinfo = "text",
mode = "lines",
line = dict(
color = "rgba(255, 0, 0, 0.2)",
width = 0
)
))
fig.update_layout(
yaxis = dict(
zeroline = False,
range = [-1.800,1.800],
showgrid = False
),
dragmode = "pan",
height = 700,
xaxis = dict(
zeroline = False,
scaleratio = 1,
scaleanchor = 'y',
range = [-3.800,3.800],
showgrid = False
),
title = "Flow over a Karman-Trefftz airfoil",
hovermode = "closest",
margin = dict(
r = 60,
b = 40,
l = 40,
t = 80
),
width = 900
)
fig.show()
Reference¶
See https://plotly.com/python/reference/contourcarpet/ for more information and chart attribute options!
What About Dash?¶
Dash is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.
Learn about how to install Dash at https://dash.plot.ly/installation.
Everywhere in this page that you see fig.show(), you can display the same figure in a Dash application by passing it to the figure argument of the Graph component from the built-in dash_core_components package like this:
import plotly.graph_objects as go # or plotly.express as px
fig = go.Figure() # or any Plotly Express function e.g. px.bar(...)
# fig.add_trace( ... )
# fig.update_layout( ... )
from dash import Dash, dcc, html
app = Dash()
app.layout = html.Div([
dcc.Graph(figure=fig)
])
app.run(debug=True, use_reloader=False) # Turn off reloader if inside Jupyter
