How to move a tick label in matplotlib

Question

I would like to move some ticks' labels horizontally along the x-axis, without moving the corresponding ticks.

More specifically, when rotating labels with plt.setp, the centers of the labels' text stay aligned with the ticks. I would like to shift those labels to the right, so that the near ends of the labels get aligned instead as suggested on the image below.

I am aware of this post and this one, however the answers are interesting kludges rather than strict answers to the question.

my code:

import matplotlib.pyplot as plt import numpy as np import datetime  # my fake data dates = np.array([datetime.datetime(2000,1,1) + datetime.timedelta(days=i) for i in range(365*5)]) data = np.sin(np.arange(365*5)/365.0*2*np.pi - 0.25*np.pi) + np.random.rand(365*5) /3  # creates fig with 2 subplots fig = plt.figure(figsize=(10.0, 6.0)) ax = plt.subplot2grid((2,1), (0, 0)) ax2 = plt.subplot2grid((2,1), (1, 0)) ## plot dates ax2.plot_date( dates, data )  # rotates labels  plt.setp( ax2.xaxis.get_majorticklabels(), rotation=-45 )   # try to shift labels to the right ax2.xaxis.get_majorticklabels()[2].set_y(-.1) ax2.xaxis.get_majorticklabels()[2].set_x(10**99)  plt.show() 

Strangely enough, set_y behaves as expected, but even if I set x to a fantasillion, the labels would not move by one iota. (The use of plot_date may introduce additional confusion, but the same actually happens with plot.)

Answer 1

First of all, let's use a mcve to show the problem.

import numpy as np import datetime import matplotlib.pyplot as plt plt.rcParams["date.autoformatter.month"] = "%b %Y"  # my fake data dates = np.array([datetime.datetime(2000,1,1) + datetime.timedelta(days=i) for i in range(365)]) data = np.sin(np.arange(365)/365.0*2*np.pi - 0.25*np.pi) + np.random.rand(365) /3  # creates fig with 2 subplots fig, ax = plt.subplots(figsize=(6,2)) ## plot dates ax.plot_date( dates, data )  # rotates labels  plt.setp( ax.xaxis.get_majorticklabels(), rotation=-45 )   plt.tight_layout() plt.show() 

Now as other anwers pointed out already, you may use horizontal alignment of the text.

# rotates labels and aligns them horizontally to left  plt.setp( ax.xaxis.get_majorticklabels(), rotation=-45, ha="left" ) 

You may use the rotation_mode argument to let the rotation happen about the top left point of the text, giving a slightly nicer result in this case.

# rotates labels and aligns them horizontally to left  plt.setp( ax.xaxis.get_majorticklabels(), rotation=-45, ha="left", rotation_mode="anchor")  

In case those options are not fine grained enough, i.e. you want to position the labels more accurately, e.g. shifting it to the side by some points, you may use a transform. The following would offset the label by 5 points in horizontal direction, using a matplotlib.transforms.ScaledTranslation.

import matplotlib.transforms  plt.setp( ax.xaxis.get_majorticklabels(), rotation=-45)   # Create offset transform by 5 points in x direction dx = 5/72.; dy = 0/72.  offset = matplotlib.transforms.ScaledTranslation(dx, dy, fig.dpi_scale_trans)  # apply offset transform to all x ticklabels. for label in ax.xaxis.get_majorticklabels():     label.set_transform(label.get_transform() + offset) 

The advantage of this, compared to e.g. the solution provided by @explorerDude is that the offset is independent on the data in the graph, such that it is generally applicable to any plot and would look the same for a given fontsize.