python - Better interpolation for Plotly Scatter splines -

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plotly supports catmull-rom splines interpolation of lines between markers on scatter plot.

i have graphs data fundamentally normal distribution. cubic or hermite interpolation works type of data in other graphing frameworks - unfortunately catmull-rom splines (or @ least plotly's implementation of them) doesn't.

enter image description here

i've experimented values of "smoothing" between 0.0 , 1.0 (it seems, though not documented, values on 1.0 make no further difference). unfortunately, bad.

i've seen suggestion elsewhere might make sense own interpolation using scipy's interpolate.interp2d, , graph line separately. however, fails use case, since want color of line paired color of markers, , both appear on legend single item, shown above.

has had experience making plotly splines nicer on quasi-normal distribution using smoothing=1.0?


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