Contenido del Curso
Visualization in Python with matplotlib
Visualization in Python with matplotlib
Create a Simple Line Chart
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Build a line chart representing the level of CO2 emissions (metric tonnes of CO2 per person) for the US. Follow the next steps:
- Import the
matplotlib.pyplot
under theplt
alias. - Save the
United States
data in theusa
variable. - Create
Figure
andAxes
objects using the.subplots()
method ofplt
and assign them to variablesfig
, andax
, respectively. - Initialize a line chart:
- display years on the x-axis (use the
.index
attribute), convert them to integers (int
); - display level of emissions on the y-axis (use the
.values
attribute).
- display years on the x-axis (use the
- Display the plot.
Once you've completed this task, click the button below the code to check your solution.
Disclaimer: FREE DATA FROM WORLD BANK VIA GAPMINDER.ORG, CC-BY LICENSE.
¡Gracias por tus comentarios!
Create a Simple Line Chart
Swipe to show code editor
Build a line chart representing the level of CO2 emissions (metric tonnes of CO2 per person) for the US. Follow the next steps:
- Import the
matplotlib.pyplot
under theplt
alias. - Save the
United States
data in theusa
variable. - Create
Figure
andAxes
objects using the.subplots()
method ofplt
and assign them to variablesfig
, andax
, respectively. - Initialize a line chart:
- display years on the x-axis (use the
.index
attribute), convert them to integers (int
); - display level of emissions on the y-axis (use the
.values
attribute).
- display years on the x-axis (use the
- Display the plot.
Once you've completed this task, click the button below the code to check your solution.
Disclaimer: FREE DATA FROM WORLD BANK VIA GAPMINDER.ORG, CC-BY LICENSE.
¡Gracias por tus comentarios!