Complete the code to set the default style to 'ggplot' using matplotlib.
import matplotlib.pyplot as plt plt.style.use('[1]') plt.plot([1, 2, 3], [4, 5, 6]) plt.show()
The plt.style.use() function sets the style for matplotlib plots. 'ggplot' is a popular style that mimics the ggplot2 style from R.
Complete the code to apply the 'seaborn-darkgrid' style to the plot.
import matplotlib.pyplot as plt plt.style.use('[1]') plt.plot([10, 20, 30], [1, 4, 9]) plt.show()
The 'seaborn-darkgrid' style adds a dark grid background to plots, improving readability.
Fix the error in the code to set the style to 'bmh'.
import matplotlib.pyplot as plt plt.style.[1]('bmh') plt.plot([1, 2, 3], [3, 2, 1]) plt.show()
The correct function to set a style in matplotlib is plt.style.use().
Fill both blanks to create a dictionary comprehension that maps each style name to its description length.
styles = ['ggplot', 'bmh', 'seaborn-darkgrid'] descriptions = {style: len(style) for style in styles if style [1] '[2]'}
The code filters styles that start with 'gg' and creates a dictionary with style names and their length.
Fill all three blanks to create a dictionary comprehension that maps style names to their uppercase form if they contain 'dark'.
styles = ['ggplot', 'bmh', 'seaborn-darkgrid'] result = {style: style[1]() for style in styles if '[2]' [3] style}
The code checks if 'dark' is in the style name and maps it to its uppercase version.