Complete the code to enable tight layout in a matplotlib plot.
import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot([1, 2, 3], [1, 4, 9]) plt.[1]()
Using plt.tight_layout() adjusts subplot params so that subplots fit into the figure area nicely.
Complete the code to enable constrained layout when creating a figure.
import matplotlib.pyplot as plt fig, ax = plt.subplots(constrained_layout=[1]) ax.plot([1, 2, 3], [1, 4, 9]) plt.show()
Setting constrained_layout=True automatically adjusts the layout to prevent overlaps.
Fix the error in the code to correctly apply tight layout after plotting.
import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot([1, 2, 3], [1, 4, 9]) fig.[1]()
The tight_layout() method is called on the Figure object to adjust spacing.
Fill both blanks to create a figure with constrained layout and plot a line.
import matplotlib.pyplot as plt fig, ax = plt.subplots([1]=[2]) ax.plot([1, 2, 3], [1, 4, 9]) plt.show()
Use constrained_layout=True in plt.subplots() to enable constrained layout.
Fill all three blanks to create a dictionary comprehension that filters words by length and squares the length.
words = ['cat', 'dog', 'elephant', 'bee'] lengths = {word: len(word)[1]2 for word in words if len(word) [2] 3 and word != [3] print(lengths)
This comprehension squares the length of words longer than 3 letters and excludes 'dog'.