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First Dive into seaborn Visualization
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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

Final Challenge

Tarea

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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 3. Capítulo 6
toggle bottom row

Final Challenge

Tarea

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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 3. Capítulo 6
toggle bottom row

Final Challenge

Tarea

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.

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Tarea

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.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 3. Capítulo 6
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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