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First Dive into seaborn Visualization
course content

Conteúdo do Curso

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

Tarefa

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.

Tarefa

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.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 3. Capítulo 6
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Final Challenge

Tarefa

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.

Tarefa

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.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 3. Capítulo 6
toggle bottom row

Final Challenge

Tarefa

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.

Tarefa

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.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Tarefa

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.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 3. Capítulo 6
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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