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Please enable JavaScript in your browser settings or update your browser.Impara Final Challenge | Plot Customization
First Dive into seaborn Visualization

bookFinal Challenge

Compito

Swipe to start coding

This is the right time for the final task of drawing a plot based on the material we have learned in this course. After completing this task, you will definitely be ready to create cool and colorful graphics for your future projects 🥳.

  1. Import the seaborn with sns alias.

  2. Import the matplotlib.pyplot with plt alias.

  3. Import the pandas with pd alias.

  4. Read the file.

  5. Set blue color for boy, pink for girl values.

  6. Set a histplot variable with histplot's binwidth = 0.1, data = df.

  7. Set the title 'Yummy fish!'.

  8. Set the xlabel 'Kilos of fish'.

  9. Set the context paper.

  10. Set the unique style: 'axes.facecolor' - 'white', 'figure.facecolor' - 'black', 'axes.labelcolor' - 'white', 'xtick.color':'white', 'ytick.color':'white'.

  11. Show the plot.

Soluzione

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Sezione 3. Capitolo 6
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bookFinal Challenge

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Compito

Swipe to start coding

This is the right time for the final task of drawing a plot based on the material we have learned in this course. After completing this task, you will definitely be ready to create cool and colorful graphics for your future projects 🥳.

  1. Import the seaborn with sns alias.

  2. Import the matplotlib.pyplot with plt alias.

  3. Import the pandas with pd alias.

  4. Read the file.

  5. Set blue color for boy, pink for girl values.

  6. Set a histplot variable with histplot's binwidth = 0.1, data = df.

  7. Set the title 'Yummy fish!'.

  8. Set the xlabel 'Kilos of fish'.

  9. Set the context paper.

  10. Set the unique style: 'axes.facecolor' - 'white', 'figure.facecolor' - 'black', 'axes.labelcolor' - 'white', 'xtick.color':'white', 'ytick.color':'white'.

  11. Show the plot.

Soluzione

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Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 3. Capitolo 6
single

single

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