Cartesian axis labels in matplotlib

matplotlib, python

Solution

One simple way to achieve this is to use the `text` or `annotate` methods of the `Axes`, with a kwarg `transform`.

from mpl_toolkits.axes_grid.axislines import SubplotZero
from matplotlib.transforms import BlendedGenericTransform
import matplotlib.pyplot as plt
import numpy

fig = plt.figure(1)
ax = SubplotZero(fig, 111)
fig.add_subplot(ax)

ax.axhline(linewidth=2.0, color="black")
ax.axvline(linewidth=2.0, color="black")

ax.set_xticks([])
ax.set_yticks([])

ax.text(0, 1.05, 'y', transform=BlendedGenericTransform(ax.transData, ax.transAxes), ha='center')
ax.text(1.05, 0, 'x', transform=BlendedGenericTransform(ax.transAxes, ax.transData), va='center')

for direction in ["xzero", "yzero"]:
    ax.axis[direction].set_axisline_style("-|>")
    ax.axis[direction].set_visible(True)

for direction in ["left", "right", "bottom", "top"]:
    ax.axis[direction].set_visible(False)

x = numpy.linspace(-0.5, 1., 100)
ax.plot(x, numpy.sin(x*numpy.pi), linewidth=2.0)

plt.show()

Problem

I have the following code: ``` from mpl_toolkits.axes_grid.axislines import SubplotZero import matplotlib.pyplot as plt import numpy if 1: fig = plt.figure(1) ax = SubplotZero(fig, 111) fig.add_subplot(ax) ax.axhline(linewidth=2.0, color="black") ax.axvline(linewidth=2.0, color="black") ax.set_xticks([1]) ax.set_yticks([1]) ax.set_xticklabels(['x']) ax.set_yticklabels(['y']) for direction in ["xzero", "yzero"]: ax.axis[direction].set_axisline_style("-|>") ax.axis[direction].set_visible(True) for direction in ["left", "right", "bottom", "top"]: ax.axis[direction].set_visible(False) x = numpy.linspace(-0.5, 1., 100) ax.plot(x, numpy.sin(x*numpy.pi), linewidth=2.0) plt.show() ``` which produces this graph: Two things: - The "y" label is on its side - how do I make it vertical? - Both "x" and "y" labels are not on the line of the axis - I want them to appear directly after the axis arrows.

Original source