add polar contour or heatmap

Thanks for this really useful library. I was wondering if there is any intention to support heatmap / contour type plots in polar projection. Something like the figure below (done with matplotlib):

@rafa-guedes

Hi @rafa-guedes, you can open an issue in the Javascript library https://github.com/plotly/plotly.js/issues/new to discuss about a new trace for polar contour. If you want a fast solution, you can maybe adapt the figure factory for ternary contours https://github.com/plotly/plotly.py/blob/master/packages/python/plotly/plotly/figure_factory/_ternary_contour.py where the computation of contours is done in Python (using a scikit-image function, skimage.measure.find_contours) and then what is displayed is a scatter trace (for you a go.Scatterpolar). Would that work for you?

@emmanuelle

Thank you @emmanuelle I will have a go at this. It looks like it should be possible to create a polar heatmap type with plotly.js, using polarbar: https://codepen.io/jamesandrewjackson13/details/NOaEgg, but I didn't manage to reproduce it with plotly.py. Thanks for the suggestions and quick reply!

This is a cute example :-). You can do the polar heatmap as follows

import numpy as np
import plotly.graph_objects as go
r, theta = np.mgrid[0.1:1:10j, 0:360:20j]
color = np.random.random(r.shape)
fig = go.Figure(go.Barpolar(
    r=r.ravel(),
    theta=theta.ravel(),
    marker_color=color.ravel()),)
fig.update_layout(polar_bargap=0)
fig.show()

We might add it to the documentation https://github.com/plotly/plotly.py/blob/master/doc/python/polar-chart.md at some point (or maybe you want to do it :-))

Hah that’s such an awesome example, totally need to get it into the docs!

This is great thank you!!

@emmanuelle

@emmanuelle one thing I didn't manage to tweak with this Barpolar example was the radial axis ticks. For some reason the values do not match the actual radii values, if you look at this particular example you plotted for instance the values go from 0-5 while they should range from 0-1. The hover data do show the correct radii though...

Forcing the ticks in update_layout do not seem to help either:

fig.update_layout(
    polar_radialaxis_tickvals=[0, 0.25, 0.5, 1],
)

@rafa-guedes

Hi @rafa-guedes,

While looking for Plotly contour polar plots I stumbled upon this issue. Did you eventually manage to create a contour type polar plot like you showed in your waves plot example?

@silvanbrummen

@silvanbrummen I did manage to, working from the example suggested by @emmanuelle . Below is an example code (the result can be seen here: https://wavebuoy.oceanum.science/). In the example below dset is an xarray Dataset, dset.freq and dset.dir are 1d arrays of wave frequency and direction, and arr is a 2d array of energy density efth(freq, dir). Notice I needed to remove radii labels as the values shown are not correct as described in the post above. I'll try and organise this as a reproducible example.

r, theta = np.meshgrid(dset.freq.values, dset.dir.values)
r = r.ravel()
theta = theta.ravel()
arr = list(dset.efth.isel(time=0).values)

fig = go.Figure(
    go.Barpolar(
        r=r,
        theta=theta,
        opacity=1.0,
        marker={
            "colorscale": px.colors.sequential.dense,
            "showscale": False,
            "color": arr,
            "line_color": None,
            "line_width": 0,
            "cmin": 0,
            "cmax": 0.1,
        },
    )
)
fig.update_layout(
    margin={"l": margin, "r": margin, "b": margin, "t": margin},
    plot_bgcolor="#23272c",
    paper_bgcolor="#23272c",
    polar_bgcolor="yellow",
    height=450,
    width=450,
    showlegend=False,
    xaxis_color="#a3a7b0",
    yaxis_color="#a3a7b0",
    polar=dict(
        radialaxis_tickcolor="white",
        angularaxis_color="#a3a7b0",
        radialaxis_color="#a3a7b0",
        radialaxis_layer="above traces",
        angularaxis_direction="clockwise",
        radialaxis_tickvals=[],  # Radii ticks
        bargap=0,  # Ensure cells will touch
        bgcolor="rgb(230, 240, 240)",  # Background shows in the outer part of polar
        hole=0.05,  # Center gap
    ),
)

@rafa-guedes

@rafa-guedes Thanks for the fast reply! Fancy website you guys have ;)

Creating a polar-barplot seems like an option indeed. However, the data I would like to visualise, a 360 degree water surface elevation plot, seems a bit more detailed and could really use the benefits of a contour plot.

I'll create a new issue about this topic in the Javascript library as suggested by @emmanuelle. Link to the issue

@rafa-guedes

@rafa-guedes - That website is so awesome! Love to see bar polar charts used in that way. Would you be up for sharing your website on with the Show & Tell tag on the Dash Community Forum? https://community.plotly.com/tag/show-and-tell I think the community would really enjoy seeing your app as well as this nice Bar Polar heatmap trick 🙂

@chriddyp

Good idea @chriddyp I have posted some note about the app in the forum!

@rafa-guedes

@rafa-guedes I was searching for polar contour plots and found your post. You guys have an awesome website and visualization. Would you be able to share a snippet of your code that was used to generate the plot shown on your website? Thanks

@emmanuelle

@emmanuelle
Hi, thanks for the great example. I am trying to fit two barpolar plots in one figure. I used the standard make_subplots function fig = plotly.tools.make_subplots(rows=1, cols=2) and then added traces (bipolar plots) to the figure with row and col position included. But it gives me the error below

ValueError: Trace type 'barpolar' is not compatible with subplot type 'xy' at grid position (1, 1)

May I know how should I fix this? Thank you!

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add polar contour or heatmap #2024

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add polar contour or heatmap #2024

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emmanuelle commented on Dec 31, 2019

rafa-guedes commented on Dec 31, 2019

emmanuelle commented on Dec 31, 2019

nicolaskruchten commented on Dec 31, 2019

rafa-guedes commented on Dec 31, 2019

rafa-guedes commented on Jan 7, 2020

silvanbrummen commented on Jul 8, 2020

rafa-guedes commented on Jul 8, 2020

silvanbrummen commented on Jul 9, 2020

chriddyp commented on Jul 9, 2020

rafa-guedes commented on Jul 10, 2020

coolbud140 commented on Sep 24, 2020

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