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Visualization in Python with matplotlib
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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

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Task
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  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.

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Section 1. Chapter 9
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Add Lables and Titles

Task
test

Swipe to show code editor

  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.

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 1. Chapter 9
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