Create a Simple Line Chart | Basics: Line Charts
Visualization in Python with matplotlib

## Create a Simple Line Chart

Build a line chart representing the level of CO2 emissions (metric tonnes of CO2 per person) for the US. Follow the next steps:

1. Import the `matplotlib.pyplot` under the `plt` alias.
2. Save the `United States` data in the `usa` variable.
3. Create `Figure` and `Axes` objects using the `.subplots()` method of `plt` and assign them to variables `fig`, and `ax`, respectively.
4. Initialize a line chart:
• display years on the x-axis (use the `.index` attribute), convert them to integers (`int`)
• display level of emissions on the y-axis (use the `.values` attribute).
5. Display the plot.

Once you've completed this task, click the button below the code to check your solution.

Disclaimer: FREE DATA FROM WORLD BANK VIA GAPMINDER.ORG, CC-BY LICENSE.

Everything was clear?

Section 1. Chapter 3

Course Content

Visualization in Python with matplotlib

## Create a Simple Line Chart

Build a line chart representing the level of CO2 emissions (metric tonnes of CO2 per person) for the US. Follow the next steps:

1. Import the `matplotlib.pyplot` under the `plt` alias.
2. Save the `United States` data in the `usa` variable.
3. Create `Figure` and `Axes` objects using the `.subplots()` method of `plt` and assign them to variables `fig`, and `ax`, respectively.
4. Initialize a line chart:
• display years on the x-axis (use the `.index` attribute), convert them to integers (`int`)
• display level of emissions on the y-axis (use the `.values` attribute).
5. Display the plot.

Once you've completed this task, click the button below the code to check your solution.

Disclaimer: FREE DATA FROM WORLD BANK VIA GAPMINDER.ORG, CC-BY LICENSE.

Everything was clear?

Section 1. Chapter 3