Programming Part 4 Flashcards
(25 cards)
What is matplotlib?
A Python library for creating static, animated, and interactive visualizations.
How do you import matplotlib?
import matplotlib.pyplot as plt
How do you create a basic line plot?
plt.plot(x, y)
How do you display a plot in matplotlib?
plt.show()
How do you add a title to a plot?
plt.title(‘My Title’)
How do you create a scatter plot?
plt.scatter(x, y)
How do you create a bar chart?
plt.bar(categories, values)
How do you create a histogram?
plt.hist(data)
How do you create a boxplot?
plt.boxplot(data)
How do you create a pie chart?
plt.pie(sizes, labels=labels)
How do you label the x-axis in a plot?
plt.xlabel(‘Label’)
How do you label the y-axis in a plot?
plt.ylabel(‘Label’)
How do you change the figure size?
plt.figure(figsize=(10, 5))
How do you add a legend to a plot?
plt.legend()
How do you save a plot to a file?
plt.savefig(‘filename.png’)
What is seaborn?
A statistical data visualization library built on top of matplotlib.
How do you import seaborn?
import seaborn as sns
How do you create a distribution plot?
sns.histplot(data)
How do you create a boxplot in seaborn?
sns.boxplot(x=’category’, y=’value’, data=df)
How do you create a scatter plot with regression line?
sns.regplot(x=’x’, y=’y’, data=df)
How do you set a visual theme in seaborn?
sns.set_theme(style=’darkgrid’)
How do you show the plot in seaborn?
Using plt.show(), same as matplotlib.
How do you create a heatmap?
sns.heatmap(data)
How do you create a pairplot?
sns.pairplot(df)
