Bug summary

When trying to set rorigin of a polar plot with logscale on the radial direction, it just results in something strange. I think the reason this happens is because rorigin is connected to the values on the r-axis, which in itself, to me is not clear why it is this way.

For example if I want to to multiple plots of different measured values, I want all the plots to look the same despite different magnitudes of the different measurements. The values themselves shouldn't change the layout of the plot. For me, it would make way more sense if rorigin would behave with a relative value between 0 and 1. 0 means the origin is in the center, 1 means the origin would be on the outer radius.

Or is the problem that I don't understand how to use rorigin, the documentation is not clear here.

Code for reproduction

import numpy as np
import matplotlib.pyplot as plt

angles = np.radians(np.linspace(15, 145, 10))
r = np.logspace(3, 9, len(angles))

fig = plt.figure()
ax = plt.axes(projection='polar')

ax.scatter(angles, r)

ax.set_theta_zero_location('N')
ax.set_theta_direction(-1)
ax.set_rscale('log')
ax.set_thetamin(15)
ax.set_thetamax(145)

ax.set_rorigin(-10**9)

Actual outcome

Expected outcome

Just with the log scale.

Edit: Plotly does this with the hole command. The hole command works as with a value between 0 and 1.

import plotly.express as px
import plotly

# Sample data (replace with your actual data)
theta = np.rad2deg(angles)
r = np.exp(np.linspace(0, 5, len(theta))) # Example: exponential values for the radius

# Create the polar scatter plot with a logarithmic radial axis
fig = px.scatter_polar(r=r, theta=theta, log_r=True)

offset = 70

# Optionally, customize the plot (e.g., add a title, change the start angle)
fig.update_layout(
    title="Radial Log Plot",
    # polar_radialaxis_angle=90,
    # polar_angularaxis_rotation=90, # Rotate the angular axis labels 90 degrees
    polar = dict(sector = [15-offset,145-offset])
)

fig.update_polars(hole=0.3)

fig.show()

Additional information

No response

Operating system

OS/X

Matplotlib Version

3.10.3

Matplotlib Backend

module://matplotlib_inline.backend_inline

Python version

3.13.2

Jupyter version

No response

Installation

pip