.Scatterpolar()

The .Scatterpolar() function in Plotly creates scatter plots on polar axes. Scatter plots are used to visualize data points in a two-dimensional space, and polar axes are circular axes often used to represent periodic data.

Syntax

plotly.graph_objects.Scatterpolar(r=None, theta=None, ...)

• r: It is a list of values representing the radial coordinates of the data points.
• theta: It is a list of values representing the angular coordinates of the data points.

Note: The ellipsis in the syntax (…) indicates that there are additional optional parameters beyond those listed here to customize the scatter plot on polar axes.

Example

The following example demonstrates the use of the .Scatterpolar() function to create a scatter plot on polar axes:

import plotly.graph_objects as go

fig = go.Figure(data=go.Scatterpolar(
  r=[1, 2, 3, 4, 5],
  theta=[0, 45, 90, 135, 180],
  mode='markers'
))

fig.update_layout(
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[0, 6]
    )
  )
)

fig.show()

This example creates a scatter plot on polar axes with five data points. The r parameter specifies the radial distance of each data point from the center, and the theta parameter specifies the angular position of each data point. The mode parameter is set to 'markers' to display the data points as markers. The polar layout is used to customize the radial axis range and visibility.

The above code generates the following output:

In the output, the scatter plot is displayed on polar axes with the specified data points and radial axis range. The circular layout of the polar axes provides a unique way to visualize data points in a circular or periodic manner.