Plot time-series data
To plot time-series data, we use the Axes
object plot
command. The first argument to this method are the values for the x-axis and the second argument are the values for the y-axis.
This exercise provides data stored in a DataFrame called climate_change
. This variable has a time-index with the dates of measurements and two data columns: "co2"
and "relative_temp"
.
In this case, the index of the DataFrame would be used as the x-axis values and we will plot the values stored in the "relative_temp"
column as the y-axis values. We will also properly label the x-axis and y-axis.
This exercise is part of the course
Introduction to Data Visualization with Matplotlib
Exercise instructions
- Add the data from
climate_change
to the plot: use the DataFrameindex
for the x value and the"relative_temp"
column for the y values. - Set the x-axis label to
'Time'
. - Set the y-axis label to
'Relative temperature (Celsius)'
. - Show the figure.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
# Add the time-series for "relative_temp" to the plot
____
# Set the x-axis label
____
# Set the y-axis label
____
# Show the figure
____