Aan de slagGa gratis aan de slag

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.

Deze oefening maakt deel uit van de cursus

Introduction to Data Visualization with Matplotlib

Cursus bekijken

Oefeninstructies

  • Use the ax.plot method to plot the DataFrame index against the relative_temp column.
  • Use the annotate method to add the text '>1 degree' in the location (pd.Timestamp('2015-10-06'), 1).

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

fig, ax = plt.subplots()

# Plot the relative temperature data
____

# Annotate the date at which temperatures exceeded 1 degree
ax.____(____, ____)

plt.show()
Code bewerken en uitvoeren