I want my x axis has the label like this format
0 1 2 3 4 5 Xlabel
but I try code below it result me in 2 lines
self.axes.set_xticks(np.arange(0,6,1)) self.axes.set_xlabel('Xlabel', fontsize=9,x=1,y=1)
=> my result :(
0 1 2 3 4 5 Xlabel
When setting the xlabel, the
x parameter assigns the position in axis units, so 0 is the origin and 1 is the right edge of the plot.
y is ignored as it's expected to be a default value, just below the tick marks.
To override this behavior, you can set the position in axis units using the
set_label_coords method. You can use other units by also providing a transform.
Here is an example of this:
import matplotlib.pyplot as plt import numpy as np ax = plt.gca() ax.set_xticks(np.arange(0,6,1)) label = ax.set_xlabel('Xlabel', fontsize = 9) ax.xaxis.set_label_coords(1.05, -0.025) plt.savefig('labelAtEnd.png') plt.show()
The x value (1.05) was chosen to position the label outside the Axes frame. The y value (-0.025) was chose as a best guess to the position you desired. Using a transform, it might be possible to automatically position the text in line with the
Here's an extended example using a transform. It is not necissarily more helpful to use the last ticklabel's transform, because it does not take into account the size of the text and how it is aligned. So to get a somewhat desired effect, I had to 1) use the same font size for my x label, 2) position the vertical alignment (va) to 'top', and 3) position the horizontal alignment to 'left'. The transform for each tick is set for data units for x (because it's an xaxis) and axis units for y (0 to 1), but displaced by a fixed padding (in pixels) from the x axis.
import matplotlib.pyplot as plt import numpy as np ax = plt.gca() ax.set_xticks(np.arange(0,6,1)) ax.set_yticks(np.arange(0,6,1)) label = ax.set_xlabel('xlabel', ha='left', va = 'top', )#fontsize = 9) # need to draw the figure first to position the tick labels fig = plt.gcf() fig.draw(fig.canvas.get_renderer()) # get a tick and will position things next to the last one ticklab = ax.xaxis.get_ticklabels() trans = ticklab.get_transform() ax.xaxis.set_label_coords(5.1, 0, transform=trans) plt.savefig('labelAtEnd2.png') plt.show()
This results in:
In addition to what @Yann already said, it's actually easier to do this with
annotate. It will also stay in the correct position when zoomed/panned.
import matplotlib.pyplot as plt import matplotlib as mpl ticklabelpad = mpl.rcParams['xtick.major.pad'] fig, ax = plt.subplots() ax.set_xlim([0, 5]) # Add the label as annotation. The "5" is the padding betweent the right side # of the axis and the label... ax.annotate('XLabel', xy=(1,0), xytext=(5, -ticklabelpad), ha='left', va='top', xycoords='axes fraction', textcoords='offset points') plt.show()