Customizing axis labels and adding titles

Customizing the axis labels requires using the set_xlabel and set_ylabel methods of the Axes object. Adding a title uses the set_title method.

In this exercise, you will customize the content of the axis labels and add a title to a plot.

As before, the data is already provided in pandas DataFrame objects loaded into memory: seattle_weather and austin_weather. These each have a "MONTH" column and a "MLY-PRCP-NORMAL" column. These data are plotted against each other in the first two lines of the sample code provided.

In addition, a Figure object named fig and an Axes object named ax have already been created for you.

Latihan ini adalah bagian dari kursus

Introduction to Data Visualization with Matplotlib

Lihat Kursus

Petunjuk latihan

Use the set_xlabel method to add the label: "Time (months)".
Use the set_ylabel method to add the label: "Precipitation (inches)".
Use the set_title method to add the title: "Weather patterns in Austin and Seattle".

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

ax.plot(seattle_weather["MONTH"], seattle_weather["MLY-PRCP-NORMAL"])
ax.plot(austin_weather["MONTH"], austin_weather["MLY-PRCP-NORMAL"])

# Customize the x-axis label
____

# Customize the y-axis label
____

# Add the title
____

# Display the figure
plt.show()

Edit dan Jalankan Kode