Font sizes help make charts easy to read. Using the right size keeps your labels clear and your graph neat.
Font size guidelines in Matplotlib
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Introduction
Syntax
Matplotlib
plt.title('Title', fontsize=SIZE) plt.xlabel('X label', fontsize=SIZE) plt.ylabel('Y label', fontsize=SIZE) plt.legend(fontsize=SIZE)
Replace SIZE with a number (like 10, 12, 14) or a string (like 'small', 'medium', 'large').
You can set font size for titles, labels, and legends separately.
Examples
Matplotlib
plt.title('My Chart', fontsize=16)
Matplotlib
plt.xlabel('Time', fontsize='large')
Matplotlib
plt.legend(['Data'], fontsize=12)
Sample Program
This code creates a simple line chart with clear font sizes for the title, axis labels, and legend.
Matplotlib
import matplotlib.pyplot as plt x = [1, 2, 3, 4] y = [10, 20, 25, 30] plt.plot(x, y, label='Sales') plt.title('Monthly Sales', fontsize=18) plt.xlabel('Month', fontsize=14) plt.ylabel('Sales Amount', fontsize=14) plt.legend(fontsize=12) plt.show()
Important Notes
Font sizes are measured in points (pt). Bigger numbers mean bigger text.
Use consistent font sizes to keep your charts looking professional.
If text overlaps or looks crowded, try increasing the font size or adjusting layout.
Summary
Font sizes improve chart readability.
Set font sizes for titles, labels, and legends separately.
Use numbers or named sizes like 'small', 'medium', 'large'.
Practice
1. Why is it important to set font sizes in a matplotlib chart?
easy
Solution
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.Step 2: Connect font size to clarity
Clear and readable text helps viewers understand the chart easily without straining their eyes.Final Answer:
To make the chart text clear and easy to read -> Option DQuick 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
Solution
Step 1: Recall matplotlib title font size syntax
The correct parameter to set font size isfontsizewith an integer value.Step 2: Check each option for correct syntax
plt.title('My Chart', fontsize=14) usesfontsize=14, which is correct. Others use invalid parameters or units.Final Answer:
plt.title('My Chart', fontsize=14) -> Option AQuick 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
Solution
Step 1: Identify the font size parameter in xlabel
The code usesfontsize=16inplt.xlabel, which sets the label font size to 16 points.Step 2: Understand matplotlib default behavior
Since fontsize is explicitly set, it overrides the default size (usually 10).Final Answer:
16 points -> Option AQuick 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
Solution
Step 1: Check syntax for tick font sizes
Matplotlib expectslabelsize=intintick_params, notfontsize='large'inplt.yticks.Step 2: Identify which line has the error
plt.yticks(fontsize='large')is invalid and will cause an error.Final Answer:
fontsize='large' is invalid for plt.yticks -> Option BQuick 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
Solution
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.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.Final Answer:
Title fontsize=20, labels fontsize=14, ticks fontsize=8 -> Option CQuick 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
