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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesTo remove tick marks but keep the labels, set the tick length to zero: ax.tick_params(axis='both', which='both', length=0). If you want the ticks and their labels gone, or the whole axis gone, a different call fits better. This guide covers each case.
The one-line fix: hide the marks, keep the labels
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [4, 5, 7])
ax.tick_params(axis='both', which='both', length=0)
plt.show()tick_params is Matplotlib’s usual tool for controlling tick appearance. Setting length=0 shrinks the marks to nothing. It changes only the tick length, so tick labels, spines and grid lines keep their current settings.
axis:'x','y'or'both'.which:'major','minor'or'both'.
To hide marks on the x-axis only:
ax.tick_params(axis='x', which='both', length=0)Choose the behavior you actually want
| Goal | Code | What remains |
|---|---|---|
| Marks gone, labels stay | ax.tick_params(axis='both', which='both', length=0) |
Labels, spines, grid |
| Ticks and labels gone on one axis | ax.set_xticks([]) or ax.set_yticks([]) |
Spines, other axis |
| Same, via pyplot | plt.xticks([]), plt.yticks([]) |
Spines, other axis |
| Minor ticks only | ax.minorticks_off() |
Major ticks and labels |
| Everything gone | ax.set_axis_off() or plt.axis('off') |
Only the plotted data |
Remove ticks and their labels
Passing an empty list sets the tick locations to nothing. With no locations there are no marks and no labels:
ax.set_xticks([])
ax.set_yticks([])The pyplot forms plt.xticks([]) and plt.yticks([]) do the same for the current axes. In a figure with several subplots, prefer the ax methods so you target the right one.
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Remove only minor ticks
ax.minorticks_off()This leaves major ticks alone. If you want to hide the marks on both major and minor ticks without changing their locations or labels, use which='both' with tick_params, as above.
Remove every axis decoration
ax.set_axis_off()Matplotlib’s documentation describes this as suppressing drawing of all axis decorations: axis labels, axis spines, and the tick component (tick markers, tick labels and grid lines). It is useful for images and diagrams. It is usually too much if you only wanted the little marks gone.
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Why tick_params is the safer choice
The pyplot xticks documentation warns that properties set on the current tick objects may not persist, because later plotting operations can create, remove or modify those objects. It recommends tick_params where possible. Settings made through tick_params are stored on the axis, so they survive redraws and later changes better than styling individual tick objects.
Tick marks and tick labels are independent. Zero-length ticks do not hide labels, and hiding labels does not remove marks. If the labels should go too, add labelbottom=False and labelleft=False to the same tick_params call, or use empty tick lists.
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- Compact Mouse: With a comfortable and contoured shape, this Logitech ambidextrous wireless mouse feels great in either right or left hand and is far superior to a touchpad
- Durable and Reliable: This USB wireless mouse features a line-by-line scroll wheel, up to 1 year of battery life (2) thanks to a smart sleep mode function, and comes with the included AA battery
- Universal Compatibility: Your Logitech mouse works with your Windows PC, Mac, or laptop, so no matter what type of computer you own today or buy tomorrow your mouse will be compatible
- Plug and Play Simplicity: Just plug in the tiny nano USB receiver and start working in seconds with a strong, reliable connection to your wireless computer mouse up to 33 feet / 10 m (5)
- Better than touchpad: Get more done by adding M185 to your laptop; according to a recent study, laptop users who chose this mouse over a touchpad were 50% more productive (3) and worked 30% faster (4)
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