Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.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
Creating an Empty PlotSimple Line ChartCreate a Simple Line ChartAdding One More LineAdd Data to the PlotAdding Legend to a PlotAdd LegendPlot Labels and TitleAdd Lables and TitlesChanging Line StyleCustomize Your Line ChartCreate a Complete Line Chart
2. Bar Charts
Simple Bar ChartCreate a Simple Bar ChartStacked BarsCreate a Stacked Bar ChartGrouped BarsCreate a Grouped Bar ChartHorizontal Bar ChartCreate a Horizontal Bar ChartCustomizing Bar ChartsCreate a Complete Bar Chart
3. Scatter Plots
The Simplest Scatter PlotCreate a Simple Scatter PlotSetting Plot ParametersSet Ticks and LimitsCustomizationCustomize Your Scatter PlotGrouping ObservationsGroup by RegionFurther GroupingGroup by Continuous VariableMaking Chart InformativeAdd Information to the Plot

Add Information to the Plot

Task

  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).

Task

  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 desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 3. Chapter 12
toggle bottom row

Add Information to the Plot

Task

  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).

Task

  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 desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 3. Chapter 12
toggle bottom row

Add Information to the Plot

Task

  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).

Task

  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 desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Task

  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 desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 12
Switch to desktop for real-world practiceContinue from where you are using one of the options below
We're sorry to hear that something went wrong. What happened?
some-alt