Different rotations for tick labels in matplotlib.pyplot

Question

I'm just trying to set different rotations for the x axis tick labels of a `pyplot` figure. Lets take this exemple : ``` import matplotlib.pyplot as plt import numpy as np x=np.arange(0,5) y=np.arange(0,5) plt.xlim(0,4) plt.ylim(0,4) plt.plot(x,y) plt.plot((1,1),(0,4),color='red',lw=1) plt.plot((2,2),(0,4),color='red',lw=1) plt.plot((2.98,2.98),(0,4),color='red',lw=1) plt.plot((3,3),(0,4),color='red',lw=1) lab_ticks=['Label 1','Label 2','Label 3','Label 4'] x_ticks=[1,2,2.98,3] plt.xticks(x_ticks,lab_ticks,rotation=90) plt.savefig('im1.png') plt.show() ``` This code give us the following figure : My problem isn't that entire labels are not shown, I know how to fix it. My problem is that `Label 3` and `Label 4` are too much nearby and they overlap each other. I want to set the `rotation` of `Label 3` at `45` and the others at `90`, but when I tried to separate my `lab_ticks` and `x_ticks`, only the last `plt.xticks()` is shown : ``` lab_ticks=['Label 1','Label 2','Label 4'] x_ticks=[1,…

Accepted Answer

You can set the rotation individually for each ticklabel. To this end you need to get the ticklabels `ax.get_xticklabels()` and apply a rotation to each one via `.set_rotation(angle)`.

```
import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.plot([1,2,3,4],[1,2,1,2])

labels=["Label {}".format(i+1) for i in range(4)]

ax.set_xticks(range(1,5))
ax.set_xticklabels(labels)
for i, t in enumerate(ax.get_xticklabels()):
    t.set_rotation(i*45)

plt.show()
```

Different rotations for tick labels in matplotlib.pyplot

Solution

Problem