1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63
|
"""
==============
Infinite lines
==============
`~.axes.Axes.axvline` and `~.axes.Axes.axhline` draw infinite vertical /
horizontal lines, at given *x* / *y* positions. They are usually used to mark
special data values, e.g. in this example the center and limit values of the
sigmoid function.
`~.axes.Axes.axline` draws infinite straight lines in arbitrary directions.
.. redirect-from:: /gallery/pyplot/axline
"""
import matplotlib.pyplot as plt
import numpy as np
t = np.linspace(-10, 10, 100)
sig = 1 / (1 + np.exp(-t))
fig, ax = plt.subplots()
ax.axhline(y=0, color="black", linestyle="--")
ax.axhline(y=0.5, color="black", linestyle=":")
ax.axhline(y=1.0, color="black", linestyle="--")
ax.axvline(color="grey")
ax.axline((0, 0.5), slope=0.25, color="black", linestyle=(0, (5, 5)))
ax.plot(t, sig, linewidth=2, label=r"$\sigma(t) = \frac{1}{1 + e^{-t}}$")
ax.set(xlim=(-10, 10), xlabel="t")
ax.legend(fontsize=14)
plt.show()
# %%
# `~.axes.Axes.axline` can also be used with a *transform* parameter, which
# applies to the point, but not to the slope. This can be useful for drawing
# diagonal grid lines with a fixed slope, which stay in place when the
# plot limits are moved.
fig, ax = plt.subplots()
for pos in np.linspace(-2, 1, 10):
ax.axline((pos, 0), slope=0.5, color='k', transform=ax.transAxes)
ax.set(xlim=(0, 1), ylim=(0, 1))
plt.show()
# %%
#
# .. admonition:: References
#
# The use of the following functions, methods, classes and modules is shown
# in this example:
#
# - `matplotlib.axes.Axes.axhline` / `matplotlib.pyplot.axhline`
# - `matplotlib.axes.Axes.axvline` / `matplotlib.pyplot.axvline`
# - `matplotlib.axes.Axes.axline` / `matplotlib.pyplot.axline`
#
#
# .. seealso::
#
# `~.Axes.axhspan`, `~.Axes.axvspan` draw rectangles that span the Axes in one
# direction and are bounded in the other direction.
#
# .. tags:: component: annotation
|