I am interested in the following two things for the polar plot plotted by matplotlib shown below
Minor tick labels can be turned on by setting the minor formatter. MultipleLocator places ticks on multiples of some base. StrMethodFormatter uses a format string (e.g., '{x:d}' or '{x:1.2f}' or '{x:1.1f} cm' ) to format the tick labels (the variable in the format string must be 'x' ).
Method 3: Using xlim() Still, if we want only the first three values of the x-axis to visualize, you can use this xlim() and ylim() function to set a limit for the x-axis and y-axis of the plot and then use the locate param to reduce the number of ticks.
To make longer subplot tick marks in matplotlib, we can use tick_params() method for minor and major ticks length and width.
MatPlotLib with Python Create a figure and add a set of subplots. To set the ticks on a fixed position, create two lists with some values. Use set_yticks and set_xticks methods to set the ticks on the axes. To display the figure, use show() method.
The polar plot does not have minor or major ticks. So I think you need to create the minor ticks manually by plotting small line segments.
For example:
import numpy as np
import matplotlib.pyplot as plt
r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
ax = plt.subplot(111, projection='polar')
ax.plot(theta, r)
ax.set_rmax(2)
ax.margins(y=0)
ax.set_rticks([0.5, 1, 1.5, 2]) # less radial ticks
ax.set_rlabel_position(120) # get radial labels away from plotted line
ax.grid(True)
tick = [ax.get_rmax(),ax.get_rmax()*0.97]
for t in np.deg2rad(np.arange(0,360,5)):
ax.plot([t,t], tick, lw=0.72, color="k")
ax.set_title("A line plot on a polar axis", va='bottom')
plt.show()
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