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Styling scientific research

Now that you have mastered customizing your plots, it is time to let your creative energy flow!

In this exercise, you are continuing your work with the Antarctic research team to assist them in exploring and understanding the penguin data they have collected.

They have asked you to help them understand how the flipper length differs between species. Time is short, so you think a quick plotly.express visualization would do. However, they also want some specific customizations for the axes' titles.

You have available a penguins DataFrame.

Cet exercice fait partie du cours

Introduction to Data Visualization with Plotly in Python

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Instructions

  • Create a plotly bar chart from the penguins DataFrame with the title "Flipper Length (mm) by Species", the x-axis as "spec", the y-axis as "av_flip_length".
  • Use the .update_layout() method to change the xaxis and yaxis text to "Species" and "Average Flipper Length (mm)" respectively.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Create the plot
fig = px.bar(penguins, x="____", y="____", title="____", color="spec")

# Change the axis titles
fig.update_layout(
    xaxis=dict(title=dict(text="____")),
    yaxis=dict(title=dict(text="____"))
)

# Show the plot
fig.show()
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