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Visualization in Python with matplotlib

Add Lables and TitlesAdd Lables and Titles

Tarea

  1. Add custom labels on the axes: 'Year' for the x-axis and 'CO2 emission per person (metric tonnes)' for the y-axis.
  2. Add title plot 'CO2 emissions (tonnes per person) in the USA and Canada'.
  3. Initialize legend and display the plot.

¿Todo estuvo claro?

Sección 1. Capítulo 9
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Contenido del 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 Lables and TitlesAdd Lables and Titles

Tarea

  1. Add custom labels on the axes: 'Year' for the x-axis and 'CO2 emission per person (metric tonnes)' for the y-axis.
  2. Add title plot 'CO2 emissions (tonnes per person) in the USA and Canada'.
  3. Initialize legend and display the plot.

¿Todo estuvo claro?

Sección 1. Capítulo 9
toggle bottom row
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