Tick marks and tick labels in Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

What are tick marks in a matplotlib plot?

Tick marks are small lines on the axes that show where the data values are marked. They help you see the scale of the plot.

beginner

How do tick labels differ from tick marks?

Tick labels are the numbers or text next to tick marks that tell you the exact value at that point on the axis.

intermediate

Which matplotlib function sets custom tick labels on the x-axis?

You can use plt.xticks() to set custom tick locations and labels on the x-axis.

intermediate

How can you remove tick marks but keep tick labels visible?

You can set the tick length to zero using plt.tick_params(length=0) to hide tick marks but keep labels.

advanced

What does the following code do? plt.tick_params(axis='y', direction='inout', length=10)

It changes the y-axis tick marks to point both inside and outside the plot with a length of 10 points.

What function changes the tick labels on the x-axis in matplotlib?

A plt.tick_params()

B plt.yticks()

C plt.xlabel()

D plt.xticks()

plt.xticks() sets the locations and labels of ticks on the x-axis.

How do you hide tick marks but keep the labels visible?

A Remove tick labels with plt.xticks([])

B Use plt.grid(False)

C Set tick length to zero with plt.tick_params(length=0)

D Set axis limits with plt.xlim()

Setting tick length to zero hides the tick marks but leaves labels visible.

Tick labels show:

A The exact value at each tick mark

B The color of the plot

C The plot title

D The grid lines

Tick labels display the value corresponding to each tick mark on the axis.

Which parameter in plt.tick_params controls the direction of tick marks?

A length

B direction

C color

D labelsize

The 'direction' parameter sets whether ticks point 'in', 'out', or 'inout'.

To set custom tick labels on the y-axis, you use:

A plt.yticks()

B plt.xticks()

C plt.tick_params()

D plt.ylabel()

plt.yticks() sets the locations and labels of ticks on the y-axis.

Explain how to customize tick marks and tick labels on a matplotlib plot.

Think about functions to set labels and parameters to style ticks.

Describe a real-life example where adjusting tick marks and labels improves a plot's readability.

Consider a plot with many data points or special labels.