jupyter | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
To set the x
and y
coordinates use x
and y
attributes. If x
coordinate values are omitted 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.
importplotly.graph_objectsasgofig=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.
importplotly.graph_objectsasgofig=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.
importplotly.graph_objectsasgofig=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.
importplotly.graph_objectsasgofig=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.
importplotly.graph_objectsasgofig=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()
importplotly.graph_objectsasgofig=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://plotly.com/python/reference/carpet/ for more information and chart attribute options!