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First Dive into seaborn Visualization
course content

Course Content

First Dive into seaborn Visualization

First Dive into seaborn Visualization

1. Nice to Meet you, seaborn!
Practical ApplicationA Little about seabornCountplotSeaborn + Pandas
2. More and More Plots
Do you Need more Plots?Scatterplot3-variable ScatterplotColors in a 3-variable PlotLineplot3-variable LineplotHistplot
3. Plot Customization
Why do we Need to Customize?Adding the Plot TitleLet's Cope with AxesDecoration and...Decoration!I'm an Artist, that's how I See it!Final Challenge

bookFinal Challenge

Task

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.

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 3. Chapter 6
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bookFinal Challenge

Task

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.

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 3. Chapter 6
toggle bottom row

bookFinal Challenge

Task

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.

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

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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 6
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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