Font size guidelines in Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

Why is choosing the right font size important in matplotlib plots?

The right font size ensures that text in plots is easy to read and understand, making the visualization clear and effective for the audience.

beginner

What is the default font size in matplotlib for titles and labels?

Matplotlib's default font size is usually 10 points for labels and 12 points for titles, but this can vary depending on the style used.

beginner

How can you set the font size for axis labels in matplotlib?

You can set the font size for axis labels using the 'fontsize' parameter in functions like xlabel() and ylabel(), for example: plt.xlabel('X-axis', fontsize=14).

beginner

What is a good font size range for plot titles to ensure readability?

A good font size for plot titles is usually between 14 and 20 points, depending on the plot size and where it will be displayed.

beginner

How does increasing font size affect the overall plot?

Increasing font size makes text easier to read but can crowd the plot if too large, so balance is key to keep the plot clear and visually appealing.

Which matplotlib parameter controls the font size of axis labels?

A fontsize

B fontweight

C fontfamily

D fontstyle

The 'fontsize' parameter sets the size of the font for axis labels.

What is a recommended font size range for plot titles?

A 22-30 points

B 8-10 points

C 14-20 points

D 5-7 points

Plot titles are usually set between 14 and 20 points for good readability.

If font size is too small in a plot, what is the main problem?

A Text is hard to read

B Plot size increases

C Plot becomes too colorful

D Data points disappear

Small font size makes text difficult to read, reducing plot clarity.

Which function sets the font size of the x-axis label in matplotlib?

A plt.title()

B plt.grid()

C plt.legend()

D plt.xlabel()

plt.xlabel() sets the label and font size of the x-axis.

What happens if font size is too large in a plot?

A Plot background changes color

B Text overlaps and plot looks crowded

C Data points increase

D Plot becomes interactive

Too large font size can cause text to overlap and clutter the plot.

Explain why font size matters in matplotlib plots and how you can adjust it for axis labels and titles.

Think about how text size affects clarity and which matplotlib functions control text.

Describe the balance needed when choosing font sizes for a plot to keep it clear and visually appealing.

Consider what happens if font size is not well chosen.

Practice

1. Why is it important to set font sizes in a matplotlib chart?

easy

A. To increase the chart size

B. To change the chart colors

C. To add more data points

D. To make the chart text clear and easy to read

Solution

1. Step 1: Understand the role of font size in charts

   Font size controls how big or small the text appears on the chart, affecting readability.

2. Step 2: Connect font size to clarity

   Clear and readable text helps viewers understand the chart easily without straining their eyes.

3. Final Answer:

   To make the chart text clear and easy to read -> Option D

4. Quick Check:

   Font size improves readability = D [OK]

Hint: Font size controls text clarity on charts [OK]

Common Mistakes:

• Confusing font size with chart colors
• Thinking font size changes data points
• Assuming font size changes chart dimensions

2. Which of the following is the correct way to set the font size of the title in matplotlib?

easy

A. plt.title('My Chart', fontsize=14)

B. plt.title('My Chart', size=14px)

C. plt.title('My Chart', font=14)

D. plt.title('My Chart', font_size='large')

Solution

1. Step 1: Recall matplotlib title font size syntax

   The correct parameter to set font size is fontsize with an integer value.

2. Step 2: Check each option for correct syntax

   plt.title('My Chart', fontsize=14) uses fontsize=14, which is correct. Others use invalid parameters or units.

3. Final Answer:

   plt.title('My Chart', fontsize=14) -> Option A

4. Quick Check:

   Use fontsize=number for title font size = C [OK]

Hint: Use fontsize=number to set font size in matplotlib [OK]

Common Mistakes:

• Using size=14px instead of fontsize=14
• Using font_size or font parameters incorrectly
• Adding units like 'px' which matplotlib does not accept

3. What will be the font size of the x-axis label in this code?

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.xlabel('X Axis', fontsize=16)
plt.show()

medium

A. 16 points

B. Default font size (usually 10)

C. 12 points

D. No label will appear

Solution

1. Step 1: Identify the font size parameter in xlabel

   The code uses fontsize=16 in plt.xlabel, which sets the label font size to 16 points.

2. Step 2: Understand matplotlib default behavior

   Since fontsize is explicitly set, it overrides the default size (usually 10).

3. Final Answer:

   16 points -> Option A

4. Quick Check:

   Explicit fontsize=16 sets label size = A [OK]

Hint: Check fontsize parameter value to find label size [OK]

Common Mistakes:

• Assuming default size when fontsize is set
• Confusing label font size with tick font size
• Thinking label won't show without extra commands

4. Identify the error in this code that tries to set font sizes for ticks:

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.tick_params(axis='x', labelsize=14)
plt.yticks(fontsize='large')
plt.show()

medium

A. plt.tick_params syntax is wrong

B. fontsize='large' is invalid for plt.yticks

C. plt.plot syntax is wrong

D. plt.show() is missing

Solution

1. Step 1: Check syntax for tick font sizes

   Matplotlib expects labelsize=int in tick_params, not fontsize='large' in plt.yticks.

2. Step 2: Identify which line has the error

   plt.yticks(fontsize='large') is invalid and will cause an error.

3. Final Answer:

   fontsize='large' is invalid for plt.yticks -> Option B

4. Quick Check:

   Use tick_params(labelsize=int) for ticks [OK]

Hint: Use plt.tick_params(labelsize=number) for tick font sizes [OK]

Common Mistakes:

• Using string values like 'large' for tick fontsize
• Thinking plt.tick_params syntax is wrong
• Ignoring error messages about parameter types

5. You want to create a plot with a large title, medium axis labels, and small tick labels for clarity. Which font size settings follow good font size guidelines?

hard

A. Title fontsize=14, labels fontsize=14, ticks fontsize=14

B. Title fontsize=8, labels fontsize=20, ticks fontsize=14

C. Title fontsize=20, labels fontsize=14, ticks fontsize=8

D. Title fontsize=8, labels fontsize=8, ticks fontsize=8

Solution

1. Step 1: Understand font size roles for clarity

   Title should be largest to stand out, axis labels medium for readability, ticks smallest to avoid clutter.

2. Step 2: Match options to guideline

   Title fontsize=20, labels fontsize=14, ticks fontsize=8 matches this pattern: 20 (large), 14 (medium), 8 (small). Others do not follow this order.

3. Final Answer:

   Title fontsize=20, labels fontsize=14, ticks fontsize=8 -> Option C

4. Quick Check:

   Large title, medium labels, small ticks = A [OK]

Hint: Title > labels > ticks in font size for clarity [OK]

Common Mistakes:

• Making tick labels larger than title
• Using same font size for all text elements
• Choosing too small font sizes causing unreadable text