Plot customization (title, labels, figsize) in Pandas - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

What is the size of the plot created by this code?

Consider this code that creates a plot with pandas. What is the size of the figure in inches?

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'A': [1, 3, 2, 4]}
df = pd.DataFrame(data)

ax = df.plot(figsize=(8, 4))
plt.close()  # Close plot to avoid display

A [6, 6]

B [4, 8]

C [8, 4]

D [10, 5]

💡 Hint

The figsize parameter expects a tuple (width, height) in inches.

The figsize argument sets the width and height of the plot in inches. Here, figsize=(8, 4) means width=8 inches and height=4 inches.

❓ Predict Output

intermediate

What is the title of the plot after running this code?

This code creates a plot and sets a title. What will be the exact title shown on the plot?

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'B': [5, 2, 7, 1]}
df = pd.DataFrame(data)

ax = df.plot()
ax.set_title('Sales Over Time')
plt.close()

A Sales Over Time

B sales over time

C Sales over time

D SALES OVER TIME

💡 Hint

Titles are case sensitive and appear exactly as set.

The set_title method sets the plot title exactly as the string provided, including capitalization.

❓ data_output

advanced

What are the x and y axis labels after this code runs?

This code sets labels for x and y axes. What are the labels shown on the plot axes?

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'C': [10, 20, 15, 25]}
df = pd.DataFrame(data)

ax = df.plot()
ax.set_xlabel('Month')
ax.set_ylabel('Revenue')
plt.close()

A x label: Month, y label: Revenue

B x label: revenue, y label: month

C x label: Month, y label: month

D x label: Revenue, y label: Month

💡 Hint

Labels are set exactly by set_xlabel and set_ylabel methods.

The x-axis label is set to 'Month' and the y-axis label to 'Revenue' by the respective methods.

❓ visualization

advanced

Which option shows the correct plot title and axis labels after this code?

This code creates a plot with a title and axis labels. Which option correctly describes the plot's title and labels?

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'D': [3, 6, 9, 12]}
df = pd.DataFrame(data)

ax = df.plot(figsize=(5, 3))
ax.set_title('Quarterly Growth')
ax.set_xlabel('Quarter')
ax.set_ylabel('Growth (%)')
plt.close()

A Title: quarterly growth, X label: Growth (%), Y label: Quarter

B Title: Quarterly Growth, X label: Quarter, Y label: Growth (%)

C Title: Quarterly Growth, X label: Growth (%), Y label: Quarter

D Title: Growth Quarterly, X label: Quarter, Y label: Growth (%)

💡 Hint

Check the exact strings used in set_title, set_xlabel, and set_ylabel.

The title and labels are exactly as set in the code: 'Quarterly Growth', 'Quarter', and 'Growth (%)'.

🔧 Debug

expert

What error does this code raise when trying to set the plot size?

This code tries to set the figure size but causes an error. What is the error type?

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'E': [1, 2, 3, 4]}
df = pd.DataFrame(data)

ax = df.plot(figsize=[6, 4])
plt.close()

A TypeError

B ValueError

C AttributeError

D No error, runs fine

💡 Hint

Check if figsize accepts list or tuple.

The figsize parameter accepts both tuples and lists, so no error occurs.