Course Content
Visualization in Python with matplotlib
Visualization in Python with matplotlib
Add Lables and Titles
Task
Swipe to show code editor
- Add custom labels on the axes:
'Year'
for the x-axis and'CO2 emission per person (metric tonnes)'
for the y-axis. - Add title plot
'CO2 emissions (tonnes per person) in the USA and Canada'
. - Initialize legend and display the plot.
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Section 1. Chapter 9
Add Lables and Titles
Task
Swipe to show code editor
- Add custom labels on the axes:
'Year'
for the x-axis and'CO2 emission per person (metric tonnes)'
for the y-axis. - Add title plot
'CO2 emissions (tonnes per person) in the USA and Canada'
. - Initialize legend and display the plot.
Switch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?
Thanks for your feedback!
Section 1. Chapter 9
Add Lables and Titles
Task
Swipe to show code editor
- Add custom labels on the axes:
'Year'
for the x-axis and'CO2 emission per person (metric tonnes)'
for the y-axis. - Add title plot
'CO2 emissions (tonnes per person) in the USA and Canada'
. - Initialize legend and display the plot.
Switch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?
Thanks for your feedback!
Task
Swipe to show code editor
- Add custom labels on the axes:
'Year'
for the x-axis and'CO2 emission per person (metric tonnes)'
for the y-axis. - Add title plot
'CO2 emissions (tonnes per person) in the USA and Canada'
. - Initialize legend and display the plot.
Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 9
Switch to desktop for real-world practiceContinue from where you are using one of the options below