To control matplotlib marker orientation, we can use marker tuple that contains a number of sides, style and rotation or orientation of the marker.
Steps
Set the figure size and adjust the padding between and around the subplots.
Create x and y data points using numpy.
Make an array of 10 different rotations.
Zip x, y and i. Iterate them and plot the points using plot() method with marker tuple.
To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.random.rand(10) y = np.random.rand(10) i = np.linspace(0, 10, 10) for x, y, i in zip(x, y, i): plt.plot(x, y, marker=(3, 0, i*45), linestyle='None', markersize=20) plt.show()
Output
