Consider this matplotlib code snippet that plots two lines and adds a legend with loc='upper left'. What will be the position of the legend?
import matplotlib.pyplot as plt plt.plot([1, 2, 3], [4, 5, 6], label='Line 1') plt.plot([1, 2, 3], [6, 5, 4], label='Line 2') plt.legend(loc='upper left') plt.show()
Check the meaning of loc='upper left' in matplotlib legend placement.
The loc='upper left' option places the legend inside the plot area at the top-left corner.
Given this code, what does loc='best' do for the legend placement?
import matplotlib.pyplot as plt plt.plot([1, 2, 3], [1, 4, 9], label='Squares') plt.plot([1, 2, 3], [1, 2, 3], label='Linear') plt.legend(loc='best') plt.show()
Think about what 'best' means for legend placement.
The loc='best' option lets matplotlib choose the location with the least overlap with plotted data.
Examine the code below. Why does it raise an error when trying to place the legend?
import matplotlib.pyplot as plt plt.plot([1, 2, 3], [3, 2, 1], label='Descending') plt.legend(loc='topright') plt.show()
Check the valid location strings for legend placement in matplotlib.
Matplotlib does not recognize 'topright' as a valid location. Valid options include 'upper right', 'upper left', etc.
Given this code with multiple plots and labels, how many entries will the legend show?
import matplotlib.pyplot as plt plt.plot([1, 2, 3], [1, 4, 9], label='Squares') plt.plot([1, 2, 3], [1, 2, 3], label='Linear') plt.plot([1, 2, 3], [9, 4, 1]) # No label plt.legend(loc='lower right') plt.show()
Only plots with labels appear in the legend.
Only the plots with labels 'Squares' and 'Linear' appear in the legend. The unlabeled plot is ignored.
You want to place the legend outside the plot area on the right side. Which code snippet achieves this?
Use bbox_to_anchor with loc to place legend outside plot.
Using loc='center left' with bbox_to_anchor=(1, 0.5) places the legend outside the plot on the right center.