Carpet Contour Plot using Plotly in Python

A Plotly is a Python library that is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot, and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library.

Carpet Contour Plot

A carpet contour plot is a graphical technique for representing a 3-dimensional surface by plotting constant z slices, called contours, on a 2-dimensional format. X and Y attributes are used to set the x and y coordinates. In case the value of x is missing then it will form a cheater plot. A and B attributes should be used to save the values of the parameter.

Syntax: plotly.graph_objects.Contourcarpet( a=None,b=None,xaxis=None, yaxis=None, z=None)

Parameters:

Name	Description
a	Sets the x coordinates.
b	Sets the y coordinates.
xaxis	Sets a reference between this trace’s x coordinates and a 2D cartesian x axis. If “x” (the default value), the x coordinates refer to layout.xaxis. If “x2”, the x coordinates refer to layout.xaxis2
yaxis	Sets a reference between this trace’s y coordinates and a 2D cartesian y axis. If “y” (the default value), the y coordinates refer to layout.yaxis. If “y2”, the y coordinates refer to layout.yaxis2
z	Sets the z data.

Example:

Python3

import plotly.graph_objects as go

fig = go.Figure(go.Carpet(
    a=[1, 2, 3, 4, 5, 6],
    b=[6, 5, 4, 3, 2, 1],
    y=[1, 2, 3, 4, 5, 6],

    aaxis=dict(
        tickprefix='F = ',
        ticksuffix='N',
        smoothing=0.2,
        minorgridcount=10,
    ),
    baxis=dict(
        tickprefix='P = ',
        ticksuffix='pa',
        smoothing=0.4,
        minorgridcount=9,
    )
))

fig.show()

Output:

Adding Contours

In plotly, contours can be added by using the go.Contourcarpet() method of graph_object class. Contours should be added in such a way that the graph body should be in the proper segment.

Example:

Python3

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(go.Contourcarpet(
    a = [1, 2, 3, 4, 5, 6],
    b = [6, 5, 4, 3, 2, 1],
    z = [1, 1.96, 5, 6.1028, 4, 5.0625],
    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=[1, 2, 3, 4, 5, 6],
    b=[6, 5, 4, 3, 2, 1],
    y=[1, 2, 3, 4, 5, 6],

    aaxis=dict(
        tickprefix='F = ',
        ticksuffix='N',
        smoothing=0.2,
        minorgridcount=10,
    ),
    baxis=dict(
        tickprefix='P = ',
        ticksuffix='pa',
        smoothing=0.4,
        minorgridcount=9,
    )
))

fig.show()

Output: