[Solved] What will be the visual effect of the following code on a Seaborn scatter plot?import seaborn as sns import matplotlib.pyplot as plt iris = sns.load_dataset('iris') sns.... | Matplotlib

Matplotlib - Seaborn Integration

What will be the visual effect of the following code on a Seaborn scatter plot?

import seaborn as sns
import matplotlib.pyplot as plt

iris = sns.load_dataset('iris')
sns.scatterplot(data=iris, x='sepal_length', y='sepal_width')
plt.xticks(rotation=45)
plt.show()

AThe plot will display grid lines by default

BThe x-axis tick labels will be rotated 45 degrees

CThe y-axis tick labels will be rotated 45 degrees

DThe plot will have a title 'sepal_length vs sepal_width'

Step-by-Step Solution

Solution:

Step 1: Analyze plt.xticks(rotation=45)
This command rotates the x-axis tick labels by 45 degrees.
Step 2: Check other plot features
No grid or title commands are given, so defaults remain.
Final Answer:
The x-axis tick labels will be rotated 45 degrees -> Option B
Quick Check:
plt.xticks(rotation=angle) rotates x-axis labels [OK]

Quick Trick: plt.xticks(rotation=angle) rotates x-axis labels [OK]

Common Mistakes:

Assuming grid lines appear without plt.grid()
Thinking y-axis labels rotate with plt.xticks()
Expecting a title without plt.title()

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More Matplotlib Quizzes

What will be the visual effect of the following code on a Seaborn scatter plot?

Step 1: Analyze plt.xticks(rotation=45)

Step 2: Check other plot features

Final Answer:

Quick Check:

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