Annotating a plot of time-series data
Annotating a plot allows us to highlight interesting information in the plot. For example, in describing the climate change dataset, we might want to point to the date at which the relative temperature first exceeded 1 degree Celsius.
For this, we will use the annotate method of the Axes object. In this exercise, you will have the DataFrame called climate_change loaded into memory. Using the Axes methods, plot only the relative temperature column as a function of dates, and annotate the data.
Latihan ini adalah bagian dari kursus
Introduction to Data Visualization with Matplotlib
Petunjuk latihan
- Use the
ax.plotmethod to plot the DataFrame index against therelative_tempcolumn. - Use the
annotatemethod to add the text'>1 degree'in the location(pd.Timestamp('2015-10-06'), 1).
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
fig, ax = plt.subplots()
# Plot the relative temperature data
____
# Annotate the date at which temperatures exceeded 1 degree
ax.____(____, ____)
plt.show()