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From matplotlib examples:
import numpy as np
import seaborn as sbs
import matplotlib.pyplot as plt
r = np.arange(0, 3.0, 0.01)
theta = 2 * np.pi * r
ax = plt.subplot(111, polar=True)
ax.plot(theta, r, color='r', linewidth=3)
ax.set_rmax(2.0)
ax.grid(True)
ax.set_title("A line plot on a polar axis", va='bottom')
plt.show()
How to move the radial tick labels (0.5, 1.0, 1.5, 2.0) to a different angle, say 120 deg?
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Tick formatters can be set in one of two ways, either by passing a str or function to set_major_formatter or set_minor_formatter , or by creating an instance of one of the various Formatter classes and providing that to set_major_formatter or set_minor_formatter .
Locator_params() function that lets us change the tightness and number of ticks in the plots. This is made for customizing the subplots in matplotlib, where we need the ticks packed a little tighter and limited. So, we can use this function to control the number of ticks on the plots.
By default, in the Matplotlib library, plots are plotted on a white background. Therefore, setting the color of tick labels as white can make the axis tick labels hidden. For this only color, the attribute needs to pass with w (represents white) as a value to xticks() and yticks() function.
With version 1.4 or later, you can use "set_rlabel_position". e.g. to place the radial ticks a long a line at, say, 135 degrees:
ax.set_rlabel_position(135)
The relevant documentation is residing here, a bit hidden under "projections".
Adding the line above yields (I don't have seaborn so this has default matplotlib formatting):
Prior to 1.4, ax.set_rgrids can take an angle argument.
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