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Python Matplotlib Interview Questions and Answers

Ques 26. How can you create a violin plot in Matplotlib?

Use the `plt.violinplot()` function to create a violin plot, which is used for visualizing the distribution of data.

Example:

data = [np.random.normal(0, std, 100) for std in range(1, 4)]
plt.violinplot(data, showmedians=True)
plt.show()

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Ques 27. What is the purpose of the `plt.tight_layout()` function in Matplotlib?

`plt.tight_layout()` automatically adjusts subplot parameters to ensure that subplots fit into the figure area.

Example:

plt.subplot(2, 1, 1)
plt.plot([1, 2, 3, 4], [10, 20, 25, 30])
plt.subplot(2, 1, 2)
plt.scatter([1, 2, 3, 4], [10, 20, 25, 30])
plt.tight_layout()
plt.show()

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Ques 28. How can you create a polar plot in Matplotlib?

Use the `plt.polar()` function to create a polar plot, which is useful for visualizing data in circular coordinates.

Example:

theta = np.linspace(0, 2*np.pi, 100)
r = 1 + np.sin(3*theta)
plt.polar(theta, r)
plt.show()

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Ques 29. What is the purpose of the `plt.annotate()` function in Matplotlib?

`plt.annotate()` is used to add annotations with arrows to points on the plot.

Example:

plt.plot([1, 2, 3, 4], [10, 20, 25, 30])
plt.annotate('Max Value', xy=(3, 30), xytext=(2.5, 28), arrowprops=dict(facecolor='black', shrink=0.05))
plt.show()

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Ques 30. How can you create a barh (horizontal bar) chart in Matplotlib?

Use the `plt.barh()` function to create a horizontal bar chart in Matplotlib.

Example:

plt.barh(['A', 'B', 'C', 'D'], [10, 20, 25, 30])
plt.show()

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