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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

bookGroup by Continuous Variable

Task
test

Swipe to show code editor

This time, we are goint to paint the points for the same scatter plot in respect to the 'hdi' column values.

  1. Initialize a scatter plot with the next parameters:

    Save the call of the .scatter() function to the cax variable.

    • Set points color (c) to the 'hdi' column values of the data;
    • Set colormap (cmap) to 'plasma'.
  2. Apply .colorbar() function to Figure object assigning cax as an argument.

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Section 3. Chapter 10
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bookGroup by Continuous Variable

Task
test

Swipe to show code editor

This time, we are goint to paint the points for the same scatter plot in respect to the 'hdi' column values.

  1. Initialize a scatter plot with the next parameters:

    Save the call of the .scatter() function to the cax variable.

    • Set points color (c) to the 'hdi' column values of the data;
    • Set colormap (cmap) to 'plasma'.
  2. Apply .colorbar() function to Figure object assigning cax as an argument.

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 10
toggle bottom row

bookGroup by Continuous Variable

Task
test

Swipe to show code editor

This time, we are goint to paint the points for the same scatter plot in respect to the 'hdi' column values.

  1. Initialize a scatter plot with the next parameters:

    Save the call of the .scatter() function to the cax variable.

    • Set points color (c) to the 'hdi' column values of the data;
    • Set colormap (cmap) to 'plasma'.
  2. Apply .colorbar() function to Figure object assigning cax as an argument.

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

This time, we are goint to paint the points for the same scatter plot in respect to the 'hdi' column values.

  1. Initialize a scatter plot with the next parameters:

    Save the call of the .scatter() function to the cax variable.

    • Set points color (c) to the 'hdi' column values of the data;
    • Set colormap (cmap) to 'plasma'.
  2. Apply .colorbar() function to Figure object assigning cax as an argument.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 10
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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