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Add Information to the Plot | Scatter Plots
Visualization in Python with matplotlib
course content

Course Content

Visualization in Python with matplotlib

Visualization in Python with matplotlib

1. Basics: Line Charts
2. Bar Charts
3. Scatter Plots

bookAdd Information to the Plot

Task
test

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  1. Using the .set() function, perform the following:
    • set the x-axis label (xlabel) to 'GDP per capita';
    • set the y-axis label (ylabel) to 'Life expectancy';
    • set the plot title (title) to 'GDP per capita vs life expectancy'.
  2. Assign fig.colorbar() to the cbar variable.
  3. Set the colormap legend label to 'HDI' (by applying the .ax.set_xlabel() to the cbar).

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Section 3. Chapter 12
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bookAdd Information to the Plot

Task
test

Swipe to show code editor

  1. Using the .set() function, perform the following:
    • set the x-axis label (xlabel) to 'GDP per capita';
    • set the y-axis label (ylabel) to 'Life expectancy';
    • set the plot title (title) to 'GDP per capita vs life expectancy'.
  2. Assign fig.colorbar() to the cbar variable.
  3. Set the colormap legend label to 'HDI' (by applying the .ax.set_xlabel() to the cbar).

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 3. Chapter 12
toggle bottom row

bookAdd Information to the Plot

Task
test

Swipe to show code editor

  1. Using the .set() function, perform the following:
    • set the x-axis label (xlabel) to 'GDP per capita';
    • set the y-axis label (ylabel) to 'Life expectancy';
    • set the plot title (title) to 'GDP per capita vs life expectancy'.
  2. Assign fig.colorbar() to the cbar variable.
  3. Set the colormap legend label to 'HDI' (by applying the .ax.set_xlabel() to the cbar).

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Task
test

Swipe to show code editor

  1. Using the .set() function, perform the following:
    • set the x-axis label (xlabel) to 'GDP per capita';
    • set the y-axis label (ylabel) to 'Life expectancy';
    • set the plot title (title) to 'GDP per capita vs life expectancy'.
  2. Assign fig.colorbar() to the cbar variable.
  3. Set the colormap legend label to 'HDI' (by applying the .ax.set_xlabel() to the cbar).

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 12
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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