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Add Lables and Titles | Basics: Line Charts
Visualization in Python with matplotlib
course content

Course Content

Visualization in Python with matplotlib

Visualization in Python with matplotlib

1. Basics: Line Charts
2. Bar Charts
3. Scatter Plots

bookAdd Lables and Titles

Task

  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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bookAdd Lables and Titles

Task

  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
toggle bottom row

bookAdd Lables and Titles

Task

  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!

Task

  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
Section 1. Chapter 9
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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