Label, title, and axis names in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a title to the plot.

Matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]("My Plot")
plt.show()

Drag options to blanks, or click blank then click option'

Atitle

Bxlabel

Cylabel

Dlegend

Attempts:

3 left

💡 Hint

Common Mistakes

Using xlabel or ylabel instead of title.

Forgetting to call plt.show() to display the plot.

The title function adds a title to the plot.

2fill in blank

medium

Complete the code to label the x-axis.

Matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]("Time (seconds)")
plt.show()

Drag options to blanks, or click blank then click option'

Axlabel

Btitle

Cylabel

Dgrid

Attempts:

3 left

💡 Hint

Common Mistakes

Using ylabel instead of xlabel.

Using title instead of xlabel.

The xlabel function sets the label for the x-axis.

3fill in blank

hard

Fix the error in labeling the y-axis.

Matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]("Speed (m/s)")
plt.show()

Drag options to blanks, or click blank then click option'

Atitle

Bplot

Cxlabel

Dylabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using xlabel instead of ylabel.

Using title instead of ylabel.

The ylabel function sets the label for the y-axis.

4fill in blank

hard

Fill both blanks to add a title and label the x-axis.

Matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]("Sales Over Time")
plt.[2]("Months")
plt.show()

Drag options to blanks, or click blank then click option'

Atitle

Bxlabel

Cylabel

Dlegend

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping xlabel and ylabel.

Using legend instead of title or xlabel.

Use title to add a plot title and xlabel to label the x-axis.

5fill in blank

hard

Fill all three blanks to add a title, label the x-axis, and label the y-axis.

Matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.[1]("Temperature Change")
plt.[2]("Day")
plt.[3]("Degrees Celsius")
plt.show()

Drag options to blanks, or click blank then click option'

Atitle

Bxlabel

Cylabel

Dgrid

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up xlabel and ylabel.

Using grid instead of labels.

Use title for the plot title, xlabel for the x-axis label, and ylabel for the y-axis label.

Practice

1. Which matplotlib function is used to add a title to a plot?

easy

A. plt.label()

B. plt.title()

C. plt.name()

D. plt.head()

Solution

1. Step 1: Understand the purpose of each function

   plt.title() is designed to add a title to the plot, while the others do not exist or serve this purpose.

2. Step 2: Confirm the correct function for title

   The function plt.title() correctly adds a title to the plot.

3. Final Answer:

   plt.title() -> Option B

4. Quick Check:

   Title function = plt.title() [OK]

Hint: Title your plot with plt.title() for clarity [OK]

Common Mistakes:

• Using plt.label() instead of plt.title()
• Confusing axis labels with title
• Trying plt.name() which doesn't exist

2. Which of the following is the correct syntax to label the x-axis as 'Time (s)' in matplotlib?

easy

A. plt.axislabel('Time (s)')

B. plt.xaxis('Time (s)')

C. plt.labelx('Time (s)')

D. plt.xlabel('Time (s)')

Solution

1. Step 1: Recall the correct function for x-axis label

   The function to label the x-axis is plt.xlabel().

2. Step 2: Check syntax correctness

   plt.xlabel('Time (s)') uses the correct function and syntax: plt.xlabel('Time (s)').

3. Final Answer:

   plt.xlabel('Time (s)') -> Option D

4. Quick Check:

   X-axis label = plt.xlabel() [OK]

Hint: Use plt.xlabel() to name the x-axis quickly [OK]

Common Mistakes:

• Using plt.xaxis() which does not label axis
• Trying plt.labelx() which is invalid
• Confusing axis label with axis limits

3. What will be the output of the following code?

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.title('Sales Over Time')
plt.xlabel('Month')
plt.ylabel('Sales')
plt.show()

medium

A. A plot with title but no axis labels

B. A plot with no title and no axis labels

C. A plot with title 'Sales Over Time', x-axis labeled 'Month', and y-axis labeled 'Sales'

D. A plot with axis labels but no title

Solution

1. Step 1: Analyze the code for title and labels

   The code uses plt.title('Sales Over Time'), plt.xlabel('Month'), and plt.ylabel('Sales') to add title and axis labels.

2. Step 2: Understand the plot output

   The plot will display the line graph with the specified title and axis labels visible.

3. Final Answer:

   A plot with title 'Sales Over Time', x-axis labeled 'Month', and y-axis labeled 'Sales' -> Option C

4. Quick Check:

   Title and labels set = A plot with title 'Sales Over Time', x-axis labeled 'Month', and y-axis labeled 'Sales' [OK]

Hint: Check plt.title(), plt.xlabel(), plt.ylabel() for labels [OK]

Common Mistakes:

• Assuming labels won't show without plt.legend()
• Forgetting plt.show() to display plot
• Confusing axis labels with tick labels

4. Identify the error in this code snippet:

import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [3, 2, 1])
plt.title = 'My Plot'
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.show()

medium

A. Incorrect assignment to plt.title instead of calling plt.title()

B. plt.xlabel() is missing parentheses

C. plt.plot() has wrong data format

D. plt.show() is missing

Solution

1. Step 1: Check how title is set

   The code uses plt.title = 'My Plot', which assigns a string to the function name, breaking it.

2. Step 2: Correct way to set title

   The correct syntax is to call the function: plt.title('My Plot').

3. Final Answer:

   Incorrect assignment to plt.title instead of calling plt.title() -> Option A

4. Quick Check:

   Title must be set by plt.title() function call [OK]

Hint: Use plt.title('text'), not plt.title = 'text' [OK]

Common Mistakes:

• Assigning string to plt.title instead of calling it
• Forgetting parentheses on function calls
• Confusing plt.title with plt.xlabel

5. You want to create a plot with the title 'Temperature Trends', x-axis labeled 'Day', and y-axis labeled 'Temperature (°C)'. Which code snippet correctly does this and also sets the font size of the title to 16?

hard

A. plt.title('Temperature Trends', fontsize=16)\nplt.xlabel('Day')\nplt.ylabel('Temperature (°C)')

B. plt.title('Temperature Trends')\nplt.xlabel('Day', fontsize=16)\nplt.ylabel('Temperature (°C)')

C. plt.title('Temperature Trends', size=16)\nplt.xlabel('Day')\nplt.ylabel('Temperature (°C)')

D. plt.title('Temperature Trends')\nplt.xlabel('Day')\nplt.ylabel('Temperature (°C)', fontsize=16)

Solution

1. Step 1: Identify how to set title font size

   The fontsize parameter in plt.title() sets the title font size correctly.

2. Step 2: Check axis labels and font size

   Only the title should have font size 16; axis labels do not need it here.

3. Final Answer:

   plt.title('Temperature Trends', fontsize=16) plt.xlabel('Day') plt.ylabel('Temperature (°C)') -> Option A

4. Quick Check:

   Title font size set by fontsize=16 in plt.title() [OK]

Hint: Use fontsize=16 inside plt.title() to resize title text [OK]

Common Mistakes:

• Using size=16 instead of fontsize=16
• Setting fontsize on axis labels instead of title
• Forgetting to call plt.title() as a function