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To set the x and y coordinates use x and y attributes. If x coordindate values are ommitted a cheater plot will be created. The plot below has a y array specified but requires a and b parameter values before an axis may be plotted.
import plotly.graph_objects as go
fig = go.Figure(go.Carpet(
y = [2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10]
))
fig.show()To save parameter values use the a and b attributes.
import plotly.graph_objects as go
fig = go.Figure(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]
))
fig.show()Use aaxis or baxis list to make changes to the axes. For a more detailed list of attributes refer to R reference.
import plotly.graph_objects as go
fig = go.Figure(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,
)
))
fig.show()The data arrays x, y may either be specified as one-dimensional arrays of data or as arrays of arrays. If one-dimensional, then x, y, a, and b should all be the same length. If x and y are arrays of arrays, then the length of a should match the inner dimension and the length of b the outer dimension. The plot below represents the same plot as those above.
import plotly.graph_objects as go
fig = go.Figure(go.Carpet(
a = [4, 4.5, 5, 6],
b = [1, 2, 3],
y = [[2, 3, 5.5, 8],
[3.5, 4.5, 6.5, 8.5],
[4, 5, 7.5, 10]]
))
fig.show()The layout of cheater plots is not unique and depends upon the cheaterslope and axis cheatertype parameters. If x is not specified, each row of the x array is constructed based on the the formula a + cheaterslope * b, where a and b are either the value or the integer index of a and b respectively, depending on the corresponding axis cheatertype. Although the layout of the axis below is different than the plots above, it represents the same data as the axes above.
import plotly.graph_objects as go
fig = go.Figure(go.Carpet(
a = [4, 4.5, 5, 6],
b = [1, 2, 3],
y = [[2, 3, 5.5, 8],
[3.5, 4.5, 6.5, 8.5],
[4, 5, 7.5, 10]],
cheaterslope = -5,
aaxis = dict(cheatertype = 'index'),
baxis = dict(cheatertype = 'value')
))
fig.show()import plotly.graph_objects as go
fig = go.Figure(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,
minorgridwidth = 0.6,
minorgridcolor = 'white',
gridcolor = 'white',
color = 'white'
),
baxis = dict(
ticksuffix = 'Pa',
smoothing = 1,
minorgridcount = 9,
minorgridwidth = 0.6,
gridcolor = 'white',
minorgridcolor = 'white',
color = 'white'
)
))
fig.update_layout(
plot_bgcolor = 'black',
paper_bgcolor = 'black',
xaxis = dict(
showgrid = False,
showticklabels = False
),
yaxis = dict(
showgrid = False,
showticklabels = False
)
)
fig.show()To add points and lines see Carpet Scatter Plots or to add contours see Carpet Contour Plots
See https://plot.ly/python/reference/#carpet for more information and chart attribute options!