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Carpet Scatter Plot in Python

How to make carpet scatter plots in Python with Plotly.

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In [1]:
import plotly
plotly.__version__
Out[1]:
'2.0.8'

Basic Carpet Plot

In [2]:
import plotly.graph_objs as go
import plotly.plotly as py

trace1 = go.Carpet(
    a = [4, 4, 4, 4.5, 4.5, 4.5, 5, 5, 5, 6, 6, 6],
    b = [1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3],
    y = [2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10],
    aaxis = dict(
      tickprefix = 'a = ',
      ticksuffix = 'm',
      smoothing = 1,
      minorgridcount = 9
      ),
    baxis = dict(
      tickprefix = 'b = ',
      ticksuffix = 'Pa',
      smoothing = 1,
      minorgridcount = 9
      )
    )

data = [trace1]

fig = go.Figure(data = data)
py.iplot(fig, filename = "scattercarpet/basic")
Out[2]:

Add Carpet Scatter Trace

In [3]:
import plotly.graph_objs as go
import plotly.plotly as py

trace1 = go.Carpet(
    a = [4, 4, 4, 4.5, 4.5, 4.5, 5, 5, 5, 6, 6, 6],
    b = [1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3],
    y = [2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10],
    aaxis = dict(
      tickprefix = 'a = ',
      ticksuffix = 'm',
      smoothing = 1,
      minorgridcount = 9
      ),
    baxis = dict(
      tickprefix = 'b = ',
      ticksuffix = 'Pa',
      smoothing = 1,
      minorgridcount = 9
      )
    )

trace2 = go.Scattercarpet(
    a = [4, 4.5, 5, 6],
    b = [2.5, 2.5, 2.5, 2.5],
    line = dict(
      shape = 'spline',
      smoothing = 1,
      color = 'blue'
    )
  )

data = [trace1,trace2]

fig = go.Figure(data = data)
py.iplot(fig, filename = "scattercarpet/add-scattercarpet")
Out[3]:

Add Multiple Scatter Traces

In [4]:
import plotly.graph_objs as go
import plotly.plotly as py

trace1 = go.Carpet(
    a = [0.1,0.2,0.3],
    b = [1,2,3],
    y = [[1,2.2,3],[1.5,2.7,3.5],[1.7,2.9,3.7]],
    cheaterslope = 1,
    aaxis = dict(
        title = "a",
        tickmode = "linear",
        dtick = 0.05
    ),
    baxis = dict(
        title = "b",
        tickmode = "linear",
        dtick = 0.05
    )
)

trace2 = go.Scattercarpet(
    name = "b = 1.5",
    a = [0.05, 0.15, 0.25, 0.35],
    b = [1.5, 1.5, 1.5, 1.5]
)

trace3 = go.Scattercarpet(
    name = "b = 2",
    a = [0.05, 0.15, 0.25, 0.35],
    b = [2, 2, 2, 2]
)

trace4 = go.Scattercarpet(
    name = "b = 2.5",
    a = [0.05, 0.15, 0.25, 0.35],
    b = [2.5, 2.5, 2.5, 2.5]
)

trace5 = go.Scattercarpet(
    name = "a = 0.15",
    a = [0.15, 0.15, 0.15, 0.15],
    b = [0.5, 1.5, 2.5, 3.5],
    line = dict(
        smoothing = 1,
        shape = "spline"
    )
)

trace6 = go.Scattercarpet(
    name = "a = 0.2",
    a = [0.2, 0.2, 0.2, 0.2],
    b = [0.5, 1.5, 2.5, 3.5],
    line = dict(
        smoothing = 1,
        shape = "spline"
    ),
      marker = dict(
        size = [10, 20, 30, 40],
        color = ["#000", "#f00", "#ff0", "#fff"]
      )
)

trace7 = go.Scattercarpet(
    name = "a = 0.25",
    a = [0.25, 0.25, 0.25, 0.25],
    b = [0.5, 1.5, 2.5, 3.5],
    line = dict(
        smoothing = 1,
        shape = "spline"
    )
)

layout = go.Layout(
    title = "scattercarpet extrapolation, clipping, and smoothing",
    hovermode = "closest"
)

data = [trace1,trace2,trace3,trace4,trace5,trace6,trace7]

fig = go.Figure(data = data, layout = layout)
py.iplot(fig, filename = "scattercarpet/multiple")
Out[4]:

Reference

See https://plot.ly/python/reference/#scattercarpet for more information and chart attribute options!

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