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Visualization in Python with matplotlib

Add Data to the Plot

Let's improve our plot by adding data for one more country.

Task

Display the lines for the United States and Canada emission levels on a single chart. Follow the next steps:

  1. Create Figure and Axes objects assigned to variables fig, ax respectively.
  2. Save within the can variable data for Canada.
  3. Use the same approach as for the usa data for building a new line for the can data.

Everything was clear?

Section 1. Chapter 5
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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 Data to the Plot

Let's improve our plot by adding data for one more country.

Task

Display the lines for the United States and Canada emission levels on a single chart. Follow the next steps:

  1. Create Figure and Axes objects assigned to variables fig, ax respectively.
  2. Save within the can variable data for Canada.
  3. Use the same approach as for the usa data for building a new line for the can data.

Everything was clear?

Section 1. Chapter 5
toggle bottom row
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