Check the x axis of the figure below. How can I move the labels a bit to the left so that they align with their respective ticks?
I\'m rotating the labels using:
Rotating the labels is certainly possible. Note though that doing so reduces the readability of the text. One alternative is to alternate label positions using a code like this:
import numpy as np
n=5
x = np.arange(n)
y = np.sin(np.linspace(-3,3,n))
xlabels = ['Long ticklabel %i' % i for i in range(n)]
fig, ax = plt.subplots()
ax.plot(x,y, 'o-')
ax.set_xticks(x)
labels = ax.set_xticklabels(xlabels)
for i, label in enumerate(labels):
label.set_y(label.get_position()[1] - (i % 2) * 0.075)
For more background and alternatives, see this post on my blog
An easy, loop-free alternative is to use the horizontalalignment
Text property as a keyword argument to xticks
[1]. In the below, at the commented line, I've forced the xticks
alignment to be "right".
n=5
x = np.arange(n)
y = np.sin(np.linspace(-3,3,n))
xlabels = ['Long ticklabel %i' % i for i in range(n)]
fig, ax = plt.subplots()
ax.plot(x,y, 'o-')
plt.xticks(
[0,1,2,3,4],
["this label extends way past the figure's left boundary",
"bad motorfinger", "green", "in the age of octopus diplomacy", "x"],
rotation=45,
horizontalalignment="right") # here
plt.show()
(yticks
already aligns the right edge with the tick by default, but for xticks
the default appears to be "center".)
[1] You find that described in the xticks documentation if you search for the phrase "Text properties".
If you dont want to modify the xtick labels, you can just use:
plt.xticks(rotation=45)
You can set the horizontal alignment of ticklabels, see the example below. If you imagine a rectangular box around the rotated label, which side of the rectangle do you want to be aligned with the tickpoint?
Given your description, you want: ha='right'
n=5
x = np.arange(n)
y = np.sin(np.linspace(-3,3,n))
xlabels = ['Ticklabel %i' % i for i in range(n)]
fig, axs = plt.subplots(1,3, figsize=(12,3))
ha = ['right', 'center', 'left']
for n, ax in enumerate(axs):
ax.plot(x,y, 'o-')
ax.set_title(ha[n])
ax.set_xticks(x)
ax.set_xticklabels(xlabels, rotation=40, ha=ha[n])