Complete the code to apply a custom style sheet named 'mystyle' in matplotlib.
import matplotlib.pyplot as plt plt.style.use('[1]') plt.plot([1, 2, 3], [4, 5, 6]) plt.show()
Use plt.style.use('mystyle') to apply the custom style sheet named 'mystyle'.
Complete the code to save a custom style dictionary to a file named 'mystyle.mplstyle'.
style_dict = {'lines.linewidth': 2, 'axes.titlesize': 14}
with open('[1]', 'w') as f:
for key, value in style_dict.items():
f.write(f"{key}: {value}\n")The custom style sheet must be saved with the extension .mplstyle for matplotlib to recognize it.
Fix the error in the code to correctly load a custom style sheet from a file path.
import matplotlib.pyplot as plt style_path = '/path/to/[1]' plt.style.use(style_path) plt.plot([1, 2], [3, 4]) plt.show()
Matplotlib style sheets must have the .mplstyle extension to be loaded correctly from a file path.
Fill both blanks to create a dictionary comprehension that sets line width to 3 for all keys starting with 'lines.'.
style_dict = {key: [1] for key in keys if key.[2]('lines.')}Use 3 as the value for line width and startswith to filter keys starting with 'lines.'.
Fill all three blanks to create a style dictionary that sets font size to 12 for axes titles, font family to 'serif', and line color to 'red'.
style_dict = {
'axes.titlesize': [1],
'font.family': [2],
'lines.color': [3]
}Set axes.titlesize to 12, font.family to 'serif', and lines.color to 'red' in the style dictionary.