""" ========================== Join styles and cap styles ========================== This example demonstrates the available join styles and cap styles. Both are used in `.Line2D` and various ``Collections`` from `matplotlib.collections` as well as some functions that create these, e.g. `~matplotlib.pyplot.plot`. Join styles =========== Join styles define how the connection between two line segments is drawn. See the respective ``solid_joinstyle``, ``dash_joinstyle`` or ``joinstyle`` parameters. """ import numpy as np import matplotlib.pyplot as plt def plot_angle(ax, x, y, angle, style): phi = np.radians(angle) xx = [x + .5, x, x + .5*np.cos(phi)] yy = [y, y, y + .5*np.sin(phi)] ax.plot(xx, yy, lw=12, color='tab:blue', solid_joinstyle=style) ax.plot(xx, yy, lw=1, color='black') ax.plot(xx[1], yy[1], 'o', color='tab:red', markersize=3) fig, ax = plt.subplots(figsize=(8, 6)) ax.set_title('Join style') for x, style in enumerate(['miter', 'round', 'bevel']): ax.text(x, 5, style) for y, angle in enumerate([20, 45, 60, 90, 120]): plot_angle(ax, x, y, angle, style) if x == 0: ax.text(-1.3, y, f'{angle} degrees') ax.text(1, 4.7, '(default)') ax.set_xlim(-1.5, 2.75) ax.set_ylim(-.5, 5.5) ax.set_axis_off() plt.show() ############################################################################# # # Cap styles # ========== # # Cap styles define how the the end of a line is drawn. # # See the respective ``solid_capstyle``, ``dash_capstyle`` or ``capstyle`` # parameters. fig, ax = plt.subplots(figsize=(8, 2)) ax.set_title('Cap style') for x, style in enumerate(['butt', 'round', 'projecting']): ax.text(x+0.25, 1, style, ha='center') xx = [x, x+0.5] yy = [0, 0] ax.plot(xx, yy, lw=12, color='tab:blue', solid_capstyle=style) ax.plot(xx, yy, lw=1, color='black') ax.plot(xx, yy, 'o', color='tab:red', markersize=3) ax.text(2.25, 0.7, '(default)', ha='center') ax.set_ylim(-.5, 1.5) ax.set_axis_off() ############################################################################# # # ------------ # # References # """""""""" # # The use of the following functions, methods, classes and modules is shown # in this example: import matplotlib matplotlib.axes.Axes.plot matplotlib.pyplot.plot