Data Science with Python Certification Data Science with Python Matplotlib and Seaborn Visualization 5

Question 1

Which Seaborn palette would be most appropriate for displaying diverging data centered around zero?

Accepted Answer

'coolwarm'

Answer

The 'coolwarm' palette is a diverging palette that transitions from blue (negative) through white (zero) to red (positive).

Question 2

In Matplotlib, how do you plot a second dataset on a shared x-axis with a separate y-axis?

Accepted Answer

Use plt.twinx() to create a second axes sharing the x-axis

Answer

ax.twinx() creates a new axes that shares the same x-axis but has an independent y-axis on the right side.

Question 3

What happens when you pass annot=True to sns.heatmap()?

Accepted Answer

Displays the numeric value inside each cell

Answer

annot=True causes sns.heatmap() to write the data value as text inside each colored cell of the heatmap.

Question 4

Which Matplotlib method changes the range of values displayed on the x-axis?

Accepted Answer

ax.set_xlim()

Answer

ax.set_xlim(min, max) sets the lower and upper bounds of the x-axis display range.

Question 5

In Seaborn, what does the 'col' parameter in sns.FacetGrid accomplish?

Accepted Answer

Creates separate subplot columns for each unique value of the variable

Answer

The 'col' parameter splits the data by a categorical variable and creates a separate subplot column for each unique value.

Data Science with Python Certification Practice Test