Adding a legend
A legend can be useful when plotting multiple datasets to identify which plot is associated with a specific dataset. To add a legend, you can use the label argument. To display the legend on the plot, you can use the function plt.legend().
matplotlib.pyplot is imported as plt and lists stock_A and stock_B are available in your workspace.
This is a part of the course
“Introduction to Python for Finance”
Exercise instructions
- Plot histograms for
stock_Aandstock_Band add labels to each plot ('Stock A'and'Stock B'). - Display the legend and the plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot stock_A and stock_B histograms
plt.hist(stock_A, bins=100, alpha=0.4, label=____)
plt.hist(stock_B, bins=100, alpha=0.4, label=____)
# Add the legend
____
# Display the plot
plt.show()