带有axisartist的自定义脊椎

此示例展示了axisartist在自定义位置（此处为 at ）绘制脊椎的使用。y = 0

但是请注意，使用标准 Spine方法更容易实现此效果，如 带箭头的居中刺中所示。

import matplotlib.pyplot as plt
from mpl_toolkits import axisartist
import numpy as np


fig = plt.figure(figsize=(6, 3), constrained_layout=True)
# To construct axes of two different classes, we need to use gridspec (or
# MATLAB-style add_subplot calls).
gs = fig.add_gridspec(1, 2)


ax0 = fig.add_subplot(gs[0, 0], axes_class=axisartist.Axes)
# Make a new axis along the first (x) axis which passes through y=0.
ax0.axis["y=0"] = ax0.new_floating_axis(nth_coord=0, value=0,
                                        axis_direction="bottom")
ax0.axis["y=0"].toggle(all=True)
ax0.axis["y=0"].label.set_text("y = 0")
# Make other axis invisible.
ax0.axis["bottom", "top", "right"].set_visible(False)


# Alternatively, one can use AxesZero, which automatically sets up two
# additional axis, named "xzero" (the y=0 axis) and "yzero" (the x=0 axis).
ax1 = fig.add_subplot(gs[0, 1], axes_class=axisartist.axislines.AxesZero)
# "xzero" and "yzero" default to invisible; make xzero axis visible.
ax1.axis["xzero"].set_visible(True)
ax1.axis["xzero"].label.set_text("Axis Zero")
# Make other axis invisible.
ax1.axis["bottom", "top", "right"].set_visible(False)


# Draw some sample data.
x = np.arange(0, 2*np.pi, 0.01)
ax0.plot(x, np.sin(x))
ax1.plot(x, np.sin(x))

plt.show()