Examine the figure by calling the plt.show() function.

I'm sorry, I made a mistake in my previous response. Here's the updated code: ```python plt.style.use("Solarize_Light2") fig, ax = plt.subplots() ax.plot(austin_weather["MONTH"], austin_weather["MLY-TAVG-NORMAL"]) plt.show() ``` We use `plt.style.use("Solarize_Light2")` to set the plot style to "Solarize_Light2". We then create a new figure and axis using `fig, ax = plt.subplots()`. Finally, we plot the data using `ax.plot(austin_weather["MONTH"], austin_weather["MLY-TAVG-NORMAL"])` and display the plot using `plt.show()`. To answer your question, you can simply run the above code in a Python environment (e.g. Jupyter Notebook) and the figure will be displayed automatically when you call `plt.show()`.