Data Science with Python Matplotlib and Seaborn Visualization Flashcards
7 cards from real Data Science with Python Certification practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Science with Python Matplotlib and Seaborn Visualization flashcards as text
Which Seaborn function creates a matrix of scatter plots for every pair of variables in a DataFrame?
Answer: sns.pairplot()
sns.pairplot() generates a grid of scatter plots for all pairwise combinations of numeric variables.
In Matplotlib, which method saves the current figure to a file?
Answer: plt.savefig()
plt.savefig('filename.png') saves the current figure to disk in the specified format.
What does the 'hue' parameter do in Seaborn plots?
Answer: Maps a third variable to color encoding
The 'hue' parameter encodes an additional categorical or numeric variable through color differentiation.
Which Matplotlib function creates a figure with multiple subplots and returns both the figure and axes objects?
Answer: plt.subplots()
plt.subplots() creates a figure and a grid of subplots, returning (fig, axes) as a tuple.
In Seaborn, what is the purpose of sns.set_style('whitegrid')?
Answer: Sets the background to white with grid lines
sns.set_style('whitegrid') applies a white background with grid lines to all subsequent Seaborn plots.
Which Matplotlib method changes the x-axis tick labels?
Answer: ax.set_xticklabels()
ax.set_xticklabels() sets the text labels for the x-axis tick marks.
What type of plot does sns.violinplot() combine?
Answer: Box plot and kernel density estimate
A violin plot combines a box plot's quartile information with a kernel density estimate of the distribution shape.
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