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Visualization in Python with matplotlib

Add Information to the PlotAdd Information to the Plot

Tarefa

  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).

Tudo estava claro?

Seção 3. Capítulo 12
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course content

Conteúdo do Curso

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

Visualization in Python with matplotlib

Add Information to the PlotAdd Information to the Plot

Tarefa

  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).

Tudo estava claro?

Seção 3. Capítulo 12
toggle bottom row
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